Publications

Mila is a research institute in artificial intelligence which rallies 500 researchers specializing in the field of deep learning. Here is a directory of their publications, from 2018 to 2020.

Last updated: July 10th 2020

    2020

    Disentangling presentation and processing times in the brain
    Laurent Caplette

    Robin A.A. Ince

    Frédéric Gosselin
    stimulus

    speech recognition

    repetition priming

    psychology

    millisecond

    information processing

    gating

    fixation

    electroencephalography

    cognitive psychology

    cognitive neuroscience of visual object recognition
    NeuroImage
    (2020-09-01)

    www.sciencedirect.com

    On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
    Mahmoud Assran

    machine learning

    gradient method

    convergence

    computer science

    artificial intelligence

    algorithm
    ICML 2020
    (2020-07-12)

    icml.cc

    All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference
    Robert Brekelmans

    Vaden W Masrani

    Greg Ver Steeg

    Aram Galstyan
    theoretical computer science

    machine learning

    information geometry

    inference

    exponential family

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
    Alexander Tong

    Jessie Huang

    David van Dijk

    Smita Krishnaswamy
    transport network

    machine learning

    distributed computing

    computer science

    cellular dynamics

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Representations for Stable Off-Policy Reinforcement Learning
    Dibya Ghosh

    reinforcement learning

    machine learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    An end-to-end approach for the verification problem: learning the right distance
    Joao Monteiro

    Isabela Albuquerque

    Jahangir Alam

    Tiago Falk
    verification problem

    machine learning

    end to end principle

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Universal Equivariant Multilayer Perceptrons
    perceptron

    pattern recognition

    equivariant map

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Incidence Networks for Geometric Deep Learning
    Marjan Albooyeh

    Daniele Bertolini

    machine learning

    deep learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.ccPDF

    Latent Variable Modelling with Hyperbolic Normalizing Flows
    Joey Bose

    Ariella Smofsky

    Renjie Liao

    pattern recognition

    machine learning

    latent variable

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    ui.adsabs.harvard.edu

    Inductive Relation Prediction by Subgraph Reasoning
    Komal Teru

    Etienne Denis

    machine learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    On Variational Learning of Controllable Representations for Text without Supervision
    Peng Xu

    Yanshuai Cao
    variational learning

    machine learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.ccPDF

    What can I do here? A Theory of Affordances in Reinforcement Learning
    Khimya Khetarpal

    Zafarali Ahmed

    Gheorghe Comanici

    David Abel

    reinforcement learning

    machine learning

    human computer interaction

    computer science

    artificial intelligence

    affordance
    ICML 2020
    (2020-07-12)

    icml.cc

    Constrained Markov Decision Processes via Backward Value Functions
    Harsh Satija

    Philip Amortila

    markov decision process

    machine learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.ccPDF

    Invariant Causal Prediction for Block MDPs
    Clare Lyle

    Amy Zhang

    Angelos Filos

    Shagun Sodhani

    Marta Kwiatkowska

    Yarin Gal

    theoretical computer science

    pattern recognition

    invariant

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Online Learned Continual Compression with Adaptive Quantization Modules
    Lucas Caccia

    Eugene Belilovsky

    Massimo Caccia

    speech recognition

    quantization

    machine learning

    computer science

    compression

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.ccPDF

    Interference and Generalization in Temporal Difference Learning
    Emmanuel Bengio

    Doina Precup
    temporal difference learning

    pattern recognition

    interference

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
    Meng Qu

    Tianyu Gao

    Louis-Pascal Xhonneux

    relationship extraction

    machine learning

    graph

    computer science

    bayesian probability

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Continuous Graph Neural Networks
    Louis-Pascal Xhonneux

    Meng Qu

    machine learning

    graph neural networks

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.ccPDF

    Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
    Yao Liu

    Emma Brunskill
    machine learning

    importance sampling

    horizon

    curse

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Linear Lower Bounds and Conditioning of Differentiable Games
    Adam Ibrahim

    Waïss Azizian

    Gauthier Gidel

    machine learning

    differentiable function

    conditioning

    computer science

    artificial intelligence

    algebra
    ICML 2020
    (2020-07-12)

    icml.cc

    Stochastic Hamiltonian Gradient Methods for Smooth Games
    Nicolas Loizou

    Hugo Berard

    Alexia Jolicoeur-Martineau

    pattern recognition

    hamiltonian

    computer science

    artificial intelligence

    algebra
    ICML 2020
    (2020-07-12)

    icml.cc

    Countering Language Drift with Seeded Iterated Learning
    Yuchen Lu

    Soumye Singhal

    Florian Strub

    Olivier Pietquin
    machine learning

    iterated learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
    Jae Hyun Lim

    Chin-Wei Huang
    pattern recognition

    gradient estimation

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Revisiting Fundamentals of Experience Replay
    William Fedus

    Prajit Ramachandran

    Rishabh Agarwal

    Mark Rowland

    Will Dabney
    machine learning

    human computer interaction

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
    Sarthak Mittal

    Alex Lamb

    Anirudh Goyal

    Vikram Voleti

    Murray Shanahan

    Guillaume Lajoie

    Michael Mozer

    top down and bottom up design

    recurrent neural network

    machine learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
    Sai Krishna Gottipati

    Boris Sattarov

    Sufeng Niu

    Haoran Wei

    Yashaswi Pathak

    Shengchao Liu

    Simon Blackburn

    Karam Thomas

    Connor Coley

    Sarath Chandar

    reinforcement learning

    machine learning

    human computer interaction

    computer science

    chemical space

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.cc

    Small-GAN: Speeding up GAN Training using Core-Sets
    Samrath Sinha

    Han Zhang

    Anirudh Goyal

    Augustus Odena
    pattern recognition

    machine learning

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.ccPDF

    Perceptual Generative Autoencoders
    Zijun Zhang

    Ruixiang Zhang

    Zongpeng Li

    speech recognition

    perception

    machine learning

    generative grammar

    computer science

    artificial intelligence
    ICML 2020
    (2020-07-12)

    icml.ccPDF

    Feature Statistics Guided Efficient Filter Pruning
    Hang Li

    Chen Ma

    Wei Xu

    pruning

    machine learning

    computer science

    artificial intelligence
    IJCAI 2020
    (2020-07-11)

    static.ijcai.org

    Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
    Maxime Wabartha

    Vincent François-Lavet

    machine learning

    deep learning

    computer science

    black swan theory

    artificial neural network

    artificial intelligence
    IJCAI 2020
    (2020-07-11)

    static.ijcai.org

    SVRG for Policy Evaluation with Fewer Gradient Evaluations
    Zilun Peng

    Ahmed Touati

    machine learning

    computer science

    artificial intelligence
    IJCAI 2020
    (2020-07-11)

    static.ijcai.org

    Probing Linguistic Systematicity
    Emily Goodwin

    Koustuv Sinha

    linguistics

    computer science
    ACL 2020
    (2020-07-05)

    acl2020.org

    Words aren’t enough, their order matters: On the Robustness of Grounding Visual Referring Expressions
    Arjun Akula

    Spandana Gella

    Yaser Al-Onaizan

    Song-Chun Zhu

    robustness

    natural language processing

    ground

    expression

    computer science

    artificial intelligence
    ACL 2020
    (2020-07-05)

    acl2020.org

    Learning an Unreferenced Metric for Online Dialogue Evaluation
    Koustuv Sinha

    Prasanna Parthasarathi

    Jasmine Wang

    Ryan Lowe

    natural language processing

    computer science

    artificial intelligence
    ACL 2020
    (2020-07-05)

    acl2020.org

    Interactive Machine Comprehension with Information Seeking Agents
    Xingdi Yuan

    Jie Fu

    Marc-Alexandre Côté

    Yi Tay

    Adam Trischler
    natural language processing

    information seeking

    human computer interaction

    computer science

    comprehension

    artificial intelligence
    ACL 2020
    (2020-07-05)

    acl2020.orgPDF

    Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
    Yi Tay

    Donovan Ong

    Jie Fu

    Alvin Chan

    Nancy Chen

    Anh Tuan Luu

    social preferences

    natural language processing

    learning machine

    cultural values

    computer science

    artificial intelligence
    ACL 2020
    (2020-07-05)

    acl2020.org

    Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
    Wenyu Du

    Zhouhan Lin

    Yikang Shen

    Yue Zhang
    syntax

    syntactic structure

    natural language processing

    language model

    computer science

    artificial intelligence
    ACL 2020
    (2020-07-05)

    acl2020.org

    Accelerating Deep Learning Systems via Critical Set Identification and Model Compression
    Rui Han

    Chi Harold Liu

    Shilin Li

    Shilin Wen

    synchronization

    spark

    scalability

    parallel computing

    gradient descent

    distributed computing

    deep learning

    data modeling

    computer science

    bottleneck

    big data

    artificial intelligence
    IEEE Transactions on Computers
    (2020-07-01)

    ieeexplore.ieee.org

    Improved Few-Shot Visual Classification
    Peyman Bateni

    Raghav Goyal

    Vaden Masrani

    Leonid Sigal
    performance improvement

    pattern recognition

    metric

    mahalanobis distance

    labeled data

    high dimensional

    contextual image classification

    computer science

    classifier

    artificial intelligence

    adaptation strategies
    CVPR 2020
    (2020-06-14)

    openaccess.thecvf.com

    Delayed Rejection Metropolis Light Transport
    Damien Rioux-Lavoie

    Joey Litalien

    Adrien Gruson

    Toshiya Hachisuka

    metropolis light transport

    mathematics

    mathematical optimization
    ACM Transactions on Graphics
    (2020-06-09)

    dx.doi.org

    Population variability in social brain morphology for social support, household size, and friendship satisfaction.
    Arezoo Taebi

    Hannah Kiesow

    Kai Vogeley

    Leonhard Schilbach

    Boris C Bernhardt

    social support

    social brain

    psychology

    population

    friendship

    evolution of human intelligence

    developmental psychology

    brain morphometry

    biobank

    bayesian hierarchical modeling
    Social Cognitive and Affective Neuroscience
    (2020-06-08)

    www.ncbi.nlm.nih.govPDF

    On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming
    Benjamin Müller

    Gonzalo Muñoz

    Maxime Gasse

    Ambros M. Gleixner

    Felipe Serrano
    regular polygon

    nonlinear mixed integer programming

    mathematical optimization

    integer

    exploit

    duality

    computer science
    IPCO 2020
    (2020-06-08)

    opus4.kobv.dePDF

    Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
    Florian Knoll

    Tullie Murrell

    Anuroop Sriram

    Nafissa Yakubova

    Jure Zbontar

    Aaron Defazio

    Matthew J. Muckley

    Daniel K. Sodickson

    C. Lawrence Zitnick

    Michael P. Recht
    parallel imaging

    mr images

    machine learning

    iterative reconstruction

    compressed sensing

    chemistry

    artificial intelligence
    Magnetic Resonance in Medicine
    (2020-06-07)

    onlinelibrary.wiley.comPDF

    NeuroPycon: An open-source Python toolbox for fast multi-modal and reproducible brain connectivity pipelines.
    David Meunier

    Annalisa Pascarella

    Dmitrii Altukhov

    Mainak Jas

    Etienne Combrisson

    Tarek Lajnef

    Daphné Bertrand-Dubois

    Vanessa Hadid

    Golnoush Alamian

    Jordan Alves

    Fanny Barlaam

    Anne-Lise Saive

    Arthur Dehgan

    toolbox

    standard algorithms

    software

    signal processing

    python

    psychology

    modular design

    matlab

    implementation

    computer architecture

    cognitive psychology
    NeuroImage
    (2020-06-06)

    pubmed.ncbi.nlm.nih.gov

    Dark control: The default mode network as a reinforcement learning agent.
    Elvis Dohmatob

    Guillaume Dumas

    trial and error

    systems neuroscience

    reinforcement learning

    psychology

    neuroscience

    mind wandering

    markov decision process

    human intelligence

    default mode network

    continuous evaluation

    cognitive psychology
    Human Brain Mapping
    (2020-06-05)

    hal.archives-ouvertes.fr

    Shapley Homology: Topological Analysis of Sample Influence for Neural Networks.
    Kaixuan Zhang

    Qinglong Wang

    C. Lee Giles
    theoretical computer science

    mathematics

    machine learning

    independent and identically distributed random variables

    artificial neural network

    artificial intelligence
    Neural Computation
    (2020-06-05)

    www.mitpressjournals.org

    The Neurobiology of Social Distance

    Robin I.M. Dunbar
    social isolation

    social environment

    social distance

    psychology

    psychological resilience

    loneliness

    life satisfaction

    friendship

    distress

    developmental psychology
    Trends in Cognitive Sciences
    (2020-06-03)

    www.sciencedirect.com

    LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads.
    Christopher J. F. Cameron

    Xue Q. D. Wang

    Josée Dostie

    visualization

    sequencing data

    primer

    medicine

    genome browser

    genetics

    dna sequencing

    computational biology

    chromosome conformation capture

    chromatin immunoprecipitation
    BMC Research Notes
    (2020-06-03)

    bmcresnotes.biomedcentral.com

    The need for privacy with public digital contact tracing during the COVID-19 pandemic

    Richard Janda

    Yun William Yu

    Daphne Ippolito

    Max Jarvie

    Dan Pilat

    Brooke Struck

    Sekoul Krastev

    Abhinav Sharma
    severe acute respiratory syndrome coronavirus 2

    pandemic

    internet privacy

    geography

    coronavirus disease 2019

    contact tracing

    2019 20 coronavirus outbreak
    The Lancet Digital Health
    (2020-06-02)

    www.thelancet.com

    Machine and deep learning methods for radiomics.
    Michele Avanzo

    Lise Wei

    Joseph Stancanello

    Arvind Rao

    Olivier Morin

    Sarah A. Mattonen

    Issam El Naqa
    standardization

    research opportunities

    radiomics

    physics

    optics

    model building

    image segmentation

    feature extraction

    deep learning

    data science

    artificial intelligence

    analytics
    Medical Physics
    (2020-06-01)

    aapm.onlinelibrary.wiley.comPDF

    Machine Learning for COVID-19 needs global collaboration and data-sharing
    Nathan Peiffer-Smadja

    Redwan Maatoug

    François-Xavier Lescure

    Eric D’Ortenzio

    Jean-Rémi King
    pandemic

    machine learning

    data sharing

    coronavirus disease 2019

    computer science

    artificial intelligence
    Nature Machine Intelligence
    (2020-05-22)

    www.nature.com

    Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis.
    Aaron Carass

    Snehashis Roy

    Adrian Gherman

    Jacob C. Reinhold

    Andrew Jesson

    Oskar Maier

    Heinz Handels

    Mohsen Ghafoorian

    Bram Platel

    Ariel Birenbaum

    Hayit Greenspan

    Dzung L. Pham

    Ciprian M. Crainiceanu

    Peter A. Calabresi

    Jerry L. Prince

    William R. Gray Roncal

    Russell T. Shinohara

    Ipek Oguz
    white matter lesion

    segmentation

    pattern recognition

    parsing

    lesion segmentation

    improved performance

    image segmentation algorithm

    dice

    computer science

    artificial intelligence
    Scientific Reports
    (2020-05-19)

    www.nature.com

    Universal Dependencies 2.6
    Daniel Zeman

    Joakim Nivre

    Mitchell Abrams

    Elia Ackermann

    Noëmi Aepli

    Željko Agić

    Lars Ahrenberg

    Chika Kennedy Ajede

    Gabrielė Aleksandravičiūtė

    Lene Antonsen

    Katya Aplonova

    Angelina Aquino

    Maria Jesus Aranzabe

    Gashaw Arutie

    Masayuki Asahara

    Luma Ateyah

    Furkan Atmaca

    Mohammed Attia

    Aitziber Atutxa

    Liesbeth Augustinus

    … (349 more)

    universal dependencies

    treebank

    syntax

    parsing

    natural language processing

    interlingua

    computer science

    artificial intelligence

    annotation
    (venue unknown)
    (2020-05-15)

    hdl.handle.net

    Predictive Pattern Classification Can Distinguish Gender Identity Subtypes from Behavior and Brain Imaging.
    Benjamin Clemens

    Birgit Derntl

    Elke Smith

    Jessica Junger

    Josef Neulen

    Gianluca Mingoia

    Frank Schneider

    Ted Abel

    Ute Habel
    transgender

    psychology

    normative

    neuroimaging

    intrinsic value

    gender identity

    functional connectivity

    functional brain

    cognitive psychology

    canonical correlation
    Cerebral Cortex
    (2020-05-14)

    academic.oup.com

    Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks.
    Mahdieh Abbasi

    Arezoo Rajabi

    Rakesh B. Bobba
    voting

    robustness

    machine learning

    mnist database

    deep neural networks

    computer science

    artificial intelligence

    adversarial system
    Canadian Conference on AI
    (2020-05-13)

    link.springer.com

    RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy via Deep Learning.
    Ximeng Mao

    Roy Keyes

    Shirin A. Enger
    tomography

    sigmoid function

    radiology

    monte carlo method

    medicine

    histogram

    high dose rate brachytherapy

    dosimetry

    brachytherapy

    absorbed dose
    International Journal of Radiation Oncology Biology Physics
    (2020-05-12)

    www.sciencedirect.com

    Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models.
    Xinlian Yu

    Tien Mai

    Jing Ding-Mastera

    Song Gao

    traffic conditions

    recursion

    real time data

    probabilistic logic

    mathematical optimization

    logistic regression

    discrete choice

    decision rule

    computer science

    choice set
    arxiv:eess.SY
    (2020-05-08)

    dblp.uni-trier.dePDF

    Young Chinese Consumers’ Choice between Product-related and Sustainable Cues—The Effects of Gender Differences and Consumer Innovativeness
    Osmud Rahman

    Zhimin Chen
    sustainable clothing

    sustainability

    sensory cue

    marketing

    intrinsic value

    environmental resource management

    economics

    country of origin

    consumer choice

    clothing

    altruism
    Sustainability
    (2020-05-07)

    www.mdpi.comPDF

    Decoupling of Gd–Cr magnetism and giant magnetocaloric effect in layered honeycomb tellurate GdCrTeO6
    J. D. Liu

    Z. W. Ouyang

    J. J. Cao

    Z. X. Wang

    Z. C. Xia

    G. H. Rao
    tellurate

    physics

    paramagnetism

    magnetism

    magnetic refrigeration

    ion

    honeycomb

    heat capacity

    condensed matter physics

    antiferromagnetism
    Journal of Applied Physics
    (2020-05-07)

    aip.scitation.org

    Leveraging cluster backbones for improving MAP inference in statistical relational models
    Mohamed-Hamza Ibrahim

    Gilles Pesant
    mathematics

    map inference

    machine learning

    artificial intelligence
    Annals of Mathematics and Artificial Intelligence
    (2020-05-07)

    PDF

    TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST X-RAYS: INITIAL ACCURACY TESTING
    Simon Duchesne

    Daniel Gourdeau

    Patrick Archambault

    Carl Chartrand-Lefebvre

    Louis Dieumegarde

    Reza Forghani

    Alexandre Hains

    David Hornstein

    Huy Le

    Simon Lemieux

    Marie-Helene Levesque

    Diego Martin

    Lorne Rosenbloom

    An Tang

    Fabrizio Vecchio

    Nathalie Duchesne
    triage

    sample size determination

    retrospective cohort study

    receiver operating characteristic

    radiology

    radiological weapon

    pleural effusion

    medicine

    interventional radiology

    deep learning

    artificial intelligence
    medRxiv
    (2020-05-05)

    www.medrxiv.orgPDF

    Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
    Chakravarty R. Alla Chaitanya

    Nikunj Raghuvanshi

    Keith Godin

    Zechen Zhang

    John Snyder
    wave field

    sound propagation

    reciprocal

    computer science

    computer graphics images

    coding
    SIGGRAPH 2020
    (2020-05-04)

    www.microsoft.com

    RISC-V Barrel Processor for Accelerator Control
    MohammadHossein AskariHemmat

    Sean Wagner

    Yvon Savaria

    Jean-Pierre David
    risc v

    parallel computing

    instruction set

    electronic circuit

    computer science

    computer hardware

    barrel processor

    barrel
    FCCM 2020
    (2020-05-01)

    ieeexplore.ieee.org

    Lookahead Converges to Stationary Points of Smooth Non-convex Functions
    Jianyu Wang

    Vinayak Tantia

    Nicolas Ballas

    stationary point

    mathematical optimization

    convex function

    computer science

    applied mathematics
    ICASSP 2020
    (2020-05-01)

    xplorestaging.ieee.org

    In-Hardware Training Chip Based on CMOS Invertible Logic for Machine Learning
    Naoya Onizawa

    Sean C. Smithson

    Brett H. Meyer

    Takahiro Hanyu
    mathematics

    invertible matrix

    computer hardware

    chip

    cmos
    IEEE Transactions on Circuits and Systems I-regular Papers
    (2020-05-01)

    dblp.uni-trier.de

    Simplified Dynamic SC-Flip Polar Decoding
    Furkan Ercan

    Thibaud Tonnellier

    Nghia Doan

    polar

    pattern recognition

    decoding methods

    computer science

    artificial intelligence

    algorithm
    ICASSP 2020
    (2020-05-01)

    xplorestaging.ieee.org

    Remote Estimation Over a Packet-Drop Channel With Markovian State
    Jhelum Chakravorty

    transmitter power output

    renewal theory

    optimal estimation

    mathematics

    markov process

    markov chain

    kalman filter

    control theory

    channel

    autoregressive model
    IEEE Transactions on Automatic Control
    (2020-05-01)

    ieeexplore.ieee.orgPDF

    General Principles of Gene Dosage Effects on Brain Structure
    Claudia Modenato

    Kuldeep Kumar

    Clara Moreau

    Catherine Schramm

    Guillaume Huguet

    Sandra Martin-Brevet

    Aurélie Pain

    Anne Maillard

    Sonia Richetin

    Borja Rodriguez-Herreros

    Lester Melie-Garcia

    Ana Dos Santos Silva

    Marianne Van Den Bree

    David Linden

    Carrie E. Bearden

    Sarah Lippé

    Mallar Chakravarty

    Bogdan Draganski

    Sébastien Jacquemont
    psychology

    internal medicine

    gene dosage

    endocrinology

    bioinformatics
    Biological Psychiatry
    (2020-05-01)

    api.elsevier.com

    What Can Machine Learning Do for Psychiatry
    Daniel Barron

    John H. Krystal

    R. Todd Constable
    psychology

    psychiatry
    Biological Psychiatry
    (2020-05-01)

    api.elsevier.com

    Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models
    Loren Lugosch

    Brett H. Meyer

    Mirco Ravanelli
    spoken language

    speech synthesis

    speech recognition

    pattern recognition

    end to end principle

    computer science

    artificial intelligence
    ICASSP 2020
    (2020-05-01)

    xplorestaging.ieee.org

    $${\textsf {SecDM}}$$SecDM: privacy-preserving data outsourcing framework with differential privacy
    Gaby G. Dagher

    Noman Mohammed

    Jeremy Clark
    service provider

    scalability

    range query

    outsourcing

    homomorphic encryption

    encryption

    differential privacy

    data mining

    computer security

    computer science

    cloud computing
    Knowledge and Information Systems
    (2020-05-01)

    link.springer.com

    A review of the-state-of-the-art in data-driven approaches for building energy prediction
    Ying Sun

    Fariborz Haghighat

    predictive controller

    physical model

    industrial engineering

    feature engineering

    engineering

    energy distribution

    data driven

    data source

    building energy

    architectural engineering
    Energy and Buildings
    (2020-05-01)

    www.sciencedirect.com

    Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation
    Andrew Holliday

    visual scale

    robustness

    pattern recognition

    convolutional neural network

    computer science

    artificial intelligence
    2020 17th Conference on Computer and Robot Vision (CRV)
    (2020-05-01)

    ieeexplore.ieee.org

    Depth Prediction for Monocular Direct Visual Odometry
    Ran Cheng

    Christopher Agia

    visual odometry

    pose

    monocular

    loop closure

    initialization

    direct methods

    deep learning

    computer vision

    computer science

    artificial intelligence
    2020 17th Conference on Computer and Robot Vision (CRV)
    (2020-05-01)

    ieeexplore.ieee.org

    Machine-learning-based column selection for column generation
    Guy Desaulniers

    Mouad Morabit
    engineering drawing

    computer science

    column generation
    Les Cahiers du GERAD
    (2020-05-01)

    www.gerad.ca

    Data-driven optimization model customization
    Mike Hewitt

    personalization

    mathematics

    mathematical optimization

    industrial engineering

    data driven
    European Journal of Operational Research
    (2020-05-01)

    api.elsevier.com

    Route choice behaviour and travel information in a congested network: Static and dynamic recursive models
    Giselle de Moraes Ramos

    Tien Mai

    Winnie Daamen

    S.P. Hoogendoorn
    recursion

    nested set model

    mathematical optimization

    logit

    global positioning system

    engineering

    dynamic network analysis

    data set

    data collection

    bittorrent tracker
    Transportation Research Part C-emerging Technologies
    (2020-05-01)

    www.sciencedirect.com

    Systems consolidation impairs behavioral flexibility.
    Sankirthana Sathiyakumar

    Sofia Skromne Carrasco

    Lydia Saad

    psychology

    prefrontal cortex

    memory consolidation

    initial training

    hippocampus

    cognitive psychology
    Learning & Memory
    (2020-05-01)

    learnmem.cshlp.orgPDF

    SloMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
    Jianyu Wang

    Vinayak Tantia

    Nicolas Ballas

    synchronizing

    synchronization

    stationary point

    momentum

    machine translation

    machine learning

    convergence

    contextual image classification

    computer science

    chen

    artificial intelligence

    algorithm
    ICLR 2020
    (2020-04-30)

    dblp.uni-trier.dePDF

    Autism spectrum heterogeneity: fact or artifact?
    Laurent Mottron

    psychology

    population

    intuition

    genetics

    dsm 5

    comorbidity

    cognitive psychology

    categorical variable

    autistic traits

    autism
    Molecular Psychiatry
    (2020-04-30)

    www.nature.com

    LEARNING EXECUTION THROUGH NEURAL CODE FUSION
    Zhan Shi

    Kevin Swersky

    Parthasarathy Ranganathan

    Milad Hashemi
    transfer of learning

    theoretical computer science

    suite

    spec

    source code

    neural coding

    machine learning

    data structure

    computer science

    branch predictor

    assembly language

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    ui.adsabs.harvard.eduPDF

    Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
    Eleni Triantafillou

    Tyler Zhu

    Vincent Dumoulin

    Utku Evci

    Kelvin Xu

    Ross Goroshin

    Carles Gelada

    Kevin Swersky

    Pierre-Antoine Manzagol

    machine learning

    learning to learn

    important research

    computer science

    classifier

    baseline

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    research.googlePDF

    Conditional Learning of Fair Representations
    Han Zhao

    Amanda Coston

    Tameem Adel

    word error rate

    underpinning

    parity

    machine learning

    feature learning

    conditional learning

    computer science

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    Spike-based causal inference for weight alignment
    Jordan Guerguiev

    Konrad Kording

    regression

    pattern recognition

    learning rule

    inference

    gradient descent

    estimator

    discontinuity

    computer science

    causal inference

    artificial neural network

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    On the interaction between supervision and self-play in emergent communication
    Ryan Lowe

    Abhinav Gupta

    Jakob Foerster

    Douwe Kiela

    supervised learning

    scratch

    schedule

    natural language

    machine learning

    lewis signaling game

    language acquisition

    human language

    converse

    computer science

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
    Fan-Yun Sun

    Jordan Hoffman

    Vikas Verma

    social network

    mutual information

    maximization

    machine learning

    graph kernel

    graph

    feature learning

    encoder

    encode

    computer science

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    Language GANs Falling Short
    Massimo Caccia

    Lucas Caccia

    William Fedus

    text generation

    softmax function

    sample quality

    root cause

    natural language generation

    maximum likelihood

    machine learning

    inference

    ground truth

    computer science

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    Reinforced active learning for image segmentation
    Arantxa Casanova

    Pedro O. Pinheiro

    Negar Rostamzadeh

    segmentation

    reinforcement learning

    region selection

    proof of concept

    pattern recognition

    machine learning

    labeled data

    image segmentation

    computer science

    class imbalance

    artificial intelligence

    active learning
    ICLR 2020
    (2020-04-30)

    ui.adsabs.harvard.eduPDF

    Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
    Christian Rupprecht

    Cyril Ibrahim

    visualization

    visual perception

    state space

    situation awareness

    reinforcement learning

    machine learning

    generative model

    driving simulator

    decision making

    computer science

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    dblp.uni-trier.dePDF

    Gradient-Based Neural DAG Learning
    Sébastien Lachapelle

    Philippe Brouillard

    Tristan Deleu

    nonlinear system

    machine learning

    greedy algorithm

    directed acyclic graph

    data set

    continuous optimization

    constrained optimization

    computer science

    causal inference

    artificial neural network

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
    Hugo Berard

    Gauthier Gidel

    Amjad Almahairi

    visualization

    stationary point

    saddle point

    machine learning

    generative grammar

    empirical evidence

    deep learning

    creative visualization

    concatenation

    computer science

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    On Bonus Based Exploration Methods In The Arcade Learning Environment
    Adrien Ali Taiga

    William Fedus

    Marlos C. Machado

    suite

    reinforcement learning

    pace

    obfuscation

    machine learning

    learning environment

    computer science

    artificial intelligence

    architecture
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    Learning the Arrow of Time for Problems in Reinforcement Learning
    Nasim Rahaman

    Steffen Wolf

    Anirudh Goyal

    Roman Remme

    stochastic process

    salient

    reinforcement learning

    reachability

    markov chain

    machine learning

    effective algorithm

    computer science

    artificial neural network

    artificial intelligence

    arrow of time
    ICLR 2020
    (2020-04-30)

    dblp.uni-trier.dePDF

    A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

    Tristan Deleu

    Nasim Rahaman

    Nan Rosemary Ke

    Sebastien Lachapelle

    Anirudh Goyal

    transfer of learning

    theoretical computer science

    robot

    parametrization

    modularity

    machine learning

    joint probability distribution

    graph

    computer science

    causality

    causal graph

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    ui.adsabs.harvard.eduPDF

    N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
    Boris N. Oreshkin

    Dmitri Carpov

    Nicolas Chapados

    univariate

    time series

    residual blocks

    residual

    machine learning

    deep learning

    computer science

    basis expansion

    artificial neural network

    artificial intelligence

    architecture
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
    Anirudh Goyal

    Matthew Botvinick

    Sergey Levine
    reinforcement learning

    optimization problem

    mathematical optimization

    machine learning

    lossless compression

    information bottleneck method

    inference

    implementation

    computer science

    bottleneck

    bandwidth

    artificial intelligence
    ICLR 2020
    (2020-04-30)

    iclr.ccPDF

    Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
    Anirudh Goyal

    Shagun Sodhani

    Jonathan Binas

    Xue Bin Peng

    Sergey Levine

    reinforcement learning

    policy design

    machine learning

    decision making

    computer science

    artificial intelligence

    architecture
    ICLR 2020
    (2020-04-30)

    dblp.uni-trier.dePDF

    Interpretable Neuron Structuring with Graph Spectral Regularization
    Alexander Tong

    David van Dijk

    Jay S. Stanley

    Matthew Amodio

    Kristina Yim

    Rebecca Muhle

    James Noonan

    Smita Krishnaswamy
    visualization

    structuring

    regularization

    pattern recognition

    laplacian matrix

    data set

    computer science

    black box

    biological network

    artificial neural network

    artificial intelligence
    IDA 2020
    (2020-04-27)

    doi.org

    Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
    Mohammad Afshari

    orthogonality principle

    optimal control

    minimum mean square error

    mathematics

    mathematical optimization

    linear function

    least mean squares filter

    gaussian noise

    gaussian

    conditional independence
    arxiv:eess.SY
    (2020-04-24)

    ui.adsabs.harvard.eduPDF

    Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”
    Miguel Anjos

    Fabian Bastin

    Sébastien Le Digabel

    mathematics

    machine learning

    data analysis

    continuous optimization

    artificial intelligence
    Infor
    (2020-04-24)

    www.tandfonline.com

    Meta-analytic evidence for a joint neural mechanism underlying response inhibition and state anger.
    Andrei A. Puiu

    Olga Wudarczyk

    Gregor Kohls

    Beate Herpertz‐Dahlmann

    Kerstin Konrad
    self control

    response inhibition

    psychology

    neuroscience

    neural correlates of consciousness

    inferior frontal gyrus

    executive functions

    basal ganglia

    anterior cingulate cortex

    anger
    Human Brain Mapping
    (2020-04-21)

    www.scilit.net

    ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models.
    Wenting Wang

    Deeksha Arya

    Nicole Novielli

    Jinghui Cheng

    usability

    tracking system

    software

    human computer interaction

    content analysis

    conceptual framework

    computer science

    automated technique

    argumentation theory
    CHI 2020
    (2020-04-21)

    ui.adsabs.harvard.eduPDF

    Neuropsychiatric copy number variants exert shared effects on human brain structure
    Claudia Modenato

    Kuldeep Kumar

    Clara Moreau

    Sandra Martin-Brevet

    Guillaume Huguet

    Catherine Schramm

    Jean-Louis Martineau

    Charles-Olivier Martin

    Nadine Younis

    Petra Tamer

    Elise Alix Douard

    Fanny Thebault-Dagher

    Valerie Cote

    Audrey-Rose Charlebois

    Florence Deguire

    Anne M. Maillard

    Borja Rodriguez-Herreros

    Aurelie Pain

    Sonia Richetin

    Leila Kushan

    … (11 more)

    schizophrenia

    neuroimaging

    mutation

    locus

    human brain

    genetics

    copy number variation

    brain morphometry

    biology

    autism
    medRxiv
    (2020-04-17)

    www.medrxiv.org

    Analysing brain networks in population neuroscience: a case for the Bayesian philosophy

    Dorothea L. Floris

    Andre F. Marquand
    statistical learning

    sampling

    population

    network connectivity

    ecology

    cognitive science

    cognition

    biology

    bayesian probability
    Philosophical Transactions of the Royal Society B
    (2020-04-13)

    royalsocietypublishing.org

    Establishing an evaluation metric to quantify climate change image realism
    Sharon Zhou

    Alexandra Luccioni

    Gautier Cosne

    Michael S. Bernstein

    realism

    geography

    environmental resource management

    climate change
    Machine Learning: Science and Technology
    (2020-04-09)

    dblp.uni-trier.de

    Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
    Hao-Ting Wang

    Jonathan Smallwood

    Janaina Mourao-Miranda

    Cedric Huchuan Xia

    Theodore D. Satterthwaite

    Danielle S. Bassett

    systems neuroscience

    psychology

    modalities

    haystack

    data set

    data science

    cognitive psychology

    canonical correlation

    big data
    NeuroImage
    (2020-04-08)

    www.sciencedirect.com

    Can EEG and MEG detect signals from the human cerebellum
    Lau M. Andersen

    Sarang S. Dalal
    sensory system

    psychology

    neuroscience

    motor learning

    magnetoencephalography

    electrophysiology

    electroencephalography

    cognitive psychology

    cognition

    cerebellum

    anatomical configuration
    NeuroImage
    (2020-04-08)

    www.sciencedirect.com

    BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.
    Konrad Wagstyl

    Stéphanie Larocque

    Guillem Cucurull

    Claude Lepage

    Joseph Paul Cohen

    Sebastian Bludau

    Nicola Palomero-Gallagher

    Lindsay B. Lewis

    Thomas Funck

    Hannah Spitzer

    Timo Dickscheid

    Paul C. Fletcher

    Adriana Romero

    Karl Zilles

    Katrin Amunts

    Alan C. Evans
    sensory system

    sensory processing

    motor cortex

    molecular biology

    laminar flow

    human brain

    cerebral hemisphere

    cerebral cortex

    biology

    bigbrain

    anatomy
    PLOS Biology
    (2020-04-03)

    journals.plos.org

    High-Throughput Low-Latency Encoder and Decoder for a Class of Generalized Reed–Solomon Codes for Short-Reach Optical Communications
    Bo Zheng

    Carlo Condo

    Odile Liboiron-Ladouceur
    throughput

    reed solomon error correction

    mathematics

    low latency

    forward error correction

    encoder

    electronic engineering

    decoding methods

    communications system

    cmos

    arithmetic
    IEEE Transactions on Circuits and Systems Ii-express Briefs
    (2020-04-01)

    ieeexplore.ieee.org

    CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images
    Nazanin Mohammadi Sepahvand

    Douglas L. Arnold

    subtraction

    segmentation

    pattern recognition

    multiple sclerosis

    mechanism based

    magnetic resonance imaging

    lesion

    disease activity

    deep learning

    computer vision

    computer science

    artificial intelligence
    ISBI 2020
    (2020-04-01)

    ieeexplore.ieee.org

    Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes
    Davide Falessi

    Justin Roll

    Jane Cleland-Huang
    theoretical computer science

    task analysis

    source code

    software system

    semantics

    semantic similarity

    locality of reference

    intuition

    information retrieval

    computer science

    code smell
    IEEE Transactions on Software Engineering
    (2020-04-01)

    dblp.uni-trier.dePDF

    The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case
    Daniel Aloise

    Luca G. Gianoli

    Leandro R. Costa
    swarm behaviour

    distributed computing

    computer science

    assignment problem

    3d mapping
    Les Cahiers du GERAD
    (2020-04-01)

    ui.adsabs.harvard.edu

    MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
    Teddy Ort

    Krishna Murthy

    Rohan Banerjee

    Sai Krishna Gottipati

    Dhaivat Bhatt

    Igor Gilitschenski

    Daniela Rus
    vehicle frame

    real time computing

    planner

    network topology

    localization system

    intelligent transportation system

    global positioning system

    fuse

    engineering

    control engineering

    autonomous navigation system
    ICRA 2020
    (2020-04-01)

    ieeexplore.ieee.org

    Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex
    Hyun Jae Jang

    Hyowon Chung

    James M. Rowland

    Michael M. Kohl

    Jeehyun Kwag
    sensory system

    parvalbumin

    optogenetics

    neuroscience

    neocortex

    interneuron

    inhibitory postsynaptic potential

    gating

    condensed matter physics

    biology

    barrel cortex
    Science Advances
    (2020-04-01)

    www.scilit.netPDF

    Multi-scale network regression for brain-phenotype associations.
    Cedric Huchuan Xia

    Zongming Ma

    Zaixu Cui

    Bertrand Thirion

    Danielle S. Bassett

    Theodore D. Satterthwaite

    Russell T. Shinohara

    Daniela M. Witten
    sparse structure

    regression

    psychology

    neuroscience

    neuroimaging

    multivariate statistics

    multivariate analysis

    model complexity

    machine learning

    interpretability

    brain development

    artificial intelligence
    Human Brain Mapping
    (2020-03-26)

    www.scilit.netPDF

    Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
    Sai Rajeswar

    Fahim Mannan

    Florian Golemo

    Jérôme Parent-Lévesque

    David Vázquez

    voxel

    unsupervised learning

    surfel

    spatial intelligence

    rendering

    polygon mesh

    encoder

    differentiable function

    computer vision

    computer science

    artificial intelligence
    International Journal of Computer Vision
    (2020-03-20)

    link.springer.comPDF

    On the Morality of Artificial Intelligence [Commentary]
    Alexandra Luccioni

    morality

    engineering

    artificial intelligence

    algorithm design
    IEEE Technology and Society Magazine
    (2020-03-13)

    doi.org

    Inter-dependent Centrosomal Co-localization of the cen and ik2 cis-Natural Antisense mRNAs in Drosophila
    Julie Bergalet

    Dhara Patel

    Félix Legendre

    Catherine Lapointe

    Louis Philip Benoit Bouvrette

    Ashley Chin

    Eunjeong Kwon

    Eric Lécuyer
    untranslated region

    sense

    messenger rna

    genome

    genetics

    gene

    drosophila melanogaster

    cytoplasm

    centrosome

    biology
    Cell Reports
    (2020-03-10)

    www.sciencedirect.com

    Not one model fits all: unfairness in RSFC-based prediction of behavioral data in African American
    Jingwei Li

    Avram Holmes

    Thomas Yeo

    Sarah Genon
    psychology

    clinical psychology

    behavioral data

    african american
    (venue unknown)
    (2020-03-05)

    orbi.uliege.be

    A cross-national study of young female consumer behaviour, innovativeness and apparel evaluation: China and India
    Osmud Rahman

    Zhimin Chen

    Devender Kharb
    young female

    structural engineering

    materials science

    marketing

    emerging markets

    cross national

    consumer innovativeness

    consumer behaviour

    clothing

    china
    Journal of The Textile Institute
    (2020-03-03)

    e-space.mmu.ac.uk

    Asynchronous Gradient-Push
    Mahmoud Assran

    network size

    mathematics

    mathematical optimization

    iterated function

    convex function

    convergence

    asynchrony

    asynchronous communication
    IEEE Transactions on Automatic Control
    (2020-03-02)

    xplorestaging.ieee.org

    10,000 social brains: sex differentiation in human brain anatomy
    Hannah Kiesow

    Robin I. M. Dunbar

    Joseph W. Kable

    Tobias Kalenscher

    Kai Vogeley

    Leonhard Schilbach

    Andre F. Marquand

    Thomas V. Wiecki

    social support

    social dynamics

    sexual differentiation

    sensory system

    loneliness

    limbic system

    human brain

    ecology

    cognitive psychology

    brain size

    biology
    Science Advances
    (2020-03-01)

    advances.sciencemag.orgPDF

    Systematic approach to provide building occupants with feedback to reduce energy consumption
    Milad Ashouri

    Fariborz Haghighat

    Hiroshi Yoshino
    waste management

    ventilation

    scalability

    hvac

    engineering

    energy consumption

    direct feedback

    cluster analysis

    artificial neural network

    architectural engineering

    air conditioning
    Energy
    (2020-03-01)

    www.sciencedirect.com

    Detecting breaking news rumors of emerging topics in social media
    Sarah A. Alkhodair

    Steven H.H. Ding

    Junqiang Liu
    topic shift

    social network

    social media

    rumor

    recurrent neural network

    recall

    information retrieval

    computer science
    Information Processing and Management
    (2020-03-01)

    www.sciencedirect.com

    Joint location and pricing within a user-optimized environment
    Teodora Dan

    Patrice Marcotte
    service level

    revenue

    queueing theory

    nonlinear system

    mathematical optimization

    global optimum

    efficient algorithm

    continuous variable

    computer science
    EURO Journal on Computational Optimization
    (2020-03-01)

    link.springer.com

    The Hanabi Challenge: A New Frontier for AI Research
    Nolan Bard

    Jakob N. Foerster

    Sarath Chandar

    Neil Burch

    Marc Lanctot

    H. Francis Song

    Emilio Parisotto

    Vincent Dumoulin

    Subhodeep Moitra

    Edward Hughes

    Iain Dunning

    Shibl Mourad

    Michael Bowling
    theory of mind

    research community

    perfect information

    mathematics

    machine learning

    learning environment

    frontier

    data science

    artificial intelligence
    Artificial Intelligence
    (2020-03-01)

    www.sciencedirect.comPDF

    Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting
    Di Wu

    Boyu Wang

    Benoit Boulet
    transfer of learning

    optimization problem

    multiple kernel learning

    machine learning

    kernel method

    kernel

    engineering

    electrical load

    electric power system

    control engineering

    boosting

    artificial intelligence
    IEEE Transactions on Smart Grid
    (2020-03-01)

    dblp.uni-trier.de

    PAC-Bayes and Domain Adaptation

    Amaury Habrard

    François Laviolette

    Emilie Morvant
    upper and lower bounds

    target distribution

    mathematics

    majority rule

    domain adaptation

    bayes theorem

    algorithm
    Neurocomputing
    (2020-02-28)

    www.sciencedirect.comPDF

    Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex.
    Pablo Billeke

    Tomas Ossandon

    Marcela Perrone-Bertolotti

    Philippe Kahane

    Julien Bastin

    Jean-Philippe Lachaux

    Pablo Fuentealba
    relay

    psychology

    prefrontal cortex

    neuroscience

    insular cortex

    insula

    electrophysiology

    delta wave

    beta

    adaptive behavior
    Cerebral Cortex
    (2020-02-28)

    www.ncbi.nlm.nih.govPDF

    Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia.
    Sameer Sardaar

    Bill Qi

    Alexandre Dionne-Laporte

    Guy. A. Rouleau

    Yannis J. Trakadis
    synapse organization

    retinoid metabolic process

    psychology

    neurotransmitter transport

    machine learning

    ion transmembrane transport

    genetic architecture

    exome

    calcium ion transmembrane transport

    autism

    artificial intelligence
    BMC Psychiatry
    (2020-02-28)

    bmcpsychiatry.biomedcentral.com

    Fasting alters the gut microbiome with sustained blood pressure and body weight reduction in metabolic syndrome patients
    Andras Balogh

    Hendrik Bartolomaeus

    Ulrike Loeber

    Ellen G. Avery

    Nico Steckhan

    Lajos Marko

    Nicola Wilck

    Ibrahim Hamad

    Ursa Susnjar

    Anja Maehler

    Christoph Hohmann

    Holger Cramer

    Gustav Dobos

    Till Robin Lesker

    Till Strowig

    Ralf Dechend

    Markus Kleinewietfeld

    Andreas Michalsen

    Dominik N. Mueller

    … (1 more)

    positive correlation

    metabolic syndrome

    medicine

    internal medicine

    gut microbiome

    fatty acid

    endocrinology

    dash diet

    cd8

    body weight

    blood pressure
    medRxiv
    (2020-02-25)

    www.medrxiv.org

    RADICL-seq Identifies General and Cell Type-Specific Principles of Genome-Wide RNA-chromatin Interactions
    Alessandro Bonetti

    Federico Agostini

    Ana Maria Suzuki

    Kosuke Hashimoto

    Giovanni Pascarella

    Juliette Gimenez

    Leonie Roos

    Alex J. Nash

    Marco Ghilotti

    Christopher J. F. Cameron

    Matthew Valentine

    Yulia A. Medvedeva

    Shuhei Noguchi

    Eneritz Agirre

    Kaori Kashi

    Samudyata

    Joachim Luginbühl

    Riccardo Cazzoli

    Saumya Agrawal

    Nicholas M. Luscombe

    … (9 more)

    transcription

    regulation of gene expression

    rna

    genome

    genetics

    encode

    dna

    computational biology

    chromatin remodeling

    chromatin

    biology
    Nature Communications
    (2020-02-24)

    www.nature.com

    Automatic Generation of Specialized Direct Convolutions for Mobile GPUs
    Naums Mogers

    Valentin Radu

    Lu Li

    Jack Turner

    Michael O'Boyle

    parallel computing

    convolution

    computer science

    code generation
    PPOPP 2020
    (2020-02-23)

    www.research.ed.ac.ukPDF

    Generating Fast Sparse Matrix Vector Multiplication From a High Level Generic Functional IR
    Federico Pizzuti

    Michel Steuwer

    sparse matrix vector multiplication

    sparse matrix

    sparse approximation

    row

    programming language

    multiplication

    matrix

    computer science

    computational science

    compiler

    code generation
    CC 2020
    (2020-02-22)

    eprints.gla.ac.uk

    High-level hardware feature extraction for GPU performance prediction of stencils
    Toomas Remmelg

    Bastian Hagedorn

    Lu Li

    Michel Steuwer

    Sergei Gorlatch

    stencil code

    performance prediction

    parallel computing

    feature extraction

    computer science
    PPOPP 2020
    (2020-02-22)

    www.scilit.netPDF

    Deep geometric knowledge distillation with graphs
    Carlos Eduardo Rosar Kós Lassance

    Myriam Bontonou

    Ghouthi Boukli Hacene

    Vincent Gripon

    Antonio Ortega
    theoretical computer science

    mathematical optimization

    inference

    graph

    energy consumption

    distillation

    deep learning

    computer science

    artificial intelligence

    architecture
    ICASSP 2020
    (2020-02-21)

    hal.archives-ouvertes.frPDF

    Improving Policy-Capturing with Active Learning for Real-Time Decision Support
    Bénédicte Chatelais

    Daniel Lafond

    Alexandre Hains

    sampling

    policy capturing

    machine learning

    expert system

    dilemma

    decision support system

    computer science

    cognitive model

    artificial intelligence

    annotation

    active learning
    International Conference on Intelligent Human Systems Integration
    (2020-02-19)

    doi.org

    Options of Interest: Temporal Abstraction with Interest Functions
    Khimya Khetarpal

    Martin Klissarov

    Maxime Chevalier-Boisvert

    Pierre-Luc Bacon

    Doina Precup
    programming language

    machine learning

    computer science

    artificial intelligence

    abstraction
    AAAI 2020
    (2020-02-07)

    dblp.uni-trier.dePDF

    Improved PAC-Bayesian Bounds for Linear Regression
    Vera Shalaeva

    Alireza Fakhrizadeh Esfahani

    Mihaly Petreczky
    training set

    mathematical optimization

    linear regression

    computer science

    bayesian probability

    applied mathematics
    AAAI 2020
    (2020-02-07)

    hal.inria.frPDF

    Memory Augmented Graph Neural Networks for Sequential Recommendation
    Chen Ma

    Liheng Ma

    Yingxue Zhang

    Jianing Sun

    Mark Coates
    machine learning

    graph neural networks

    computer science

    artificial intelligence
    AAAI 2020
    (2020-02-07)

    ui.adsabs.harvard.eduPDF

    Count-Based Exploration with the Successor Representation
    Marlos C. Machado

    Michael Bowling
    successor cardinal

    machine learning

    computer science

    artificial intelligence
    AAAI 2020
    (2020-02-07)

    dblp.uni-trier.dePDF

    Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
    Borui Wang

    machine learning

    latent variable

    graphical model

    computer science

    belief propagation

    artificial intelligence
    AAAI 2020
    (2020-02-07)

    PDF

    Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction
    Vishal Jain

    Liam Fedus

    reinforcement learning

    machine learning

    interactive fiction

    computer science

    artificial intelligence
    AAAI 2020
    (2020-02-07)

    dblp.uni-trier.dePDF

    Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
    Eric Crawford

    video tracking

    spatial invariance

    scalability

    machine learning

    computer vision

    computer science

    artificial intelligence
    AAAI 2020
    (2020-02-07)

    dblp.uni-trier.dePDF

    Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
    Dayiheng Liu

    Jie Fu

    Yidan Zhang

    Jiancheng Lv
    machine learning

    computer science

    artificial intelligence

    adversarial system
    AAAI 2020
    (2020-02-07)

    PDF

    Detecting semantic anomalies
    Faruk Ahmed

    machine learning

    computer science

    artificial intelligence
    AAAI 2020
    (2020-02-07)

    dblp.uni-trier.dePDF

    A New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
    Kamrul Hasan

    supervised learning

    smooth approximation

    probabilistic logic

    machine learning

    logistic regression

    logistic function

    computer science

    artificial intelligence
    ACM Transactions on Knowledge Discovery From Data
    (2020-02-04)

    dl.acm.org

    Deep Learning Techniques for Decoding Polar Codes

    Nghia Doan

    Elie Ngomseu Mambou

    Seyyed Ali Hashemi
    wireless communication systems

    polar

    deep learning

    decoding methods

    computer science

    computer engineering

    channel code

    channel capacity

    artificial intelligence
    Machine Learning for Future Wireless Communications
    (2020-02-03)

    onlinelibrary.wiley.com

    Replication Packager for 'Generating Fast Sparse Matrix Vector Multiplicationfrom a High Level Generic Functional IR'
    Federico Pizzuti

    Michel Steuwer

    sparse matrix vector

    computer science

    algorithm
    Artifact Digital Object Group
    (2020-02-03)

    dx.doi.org

    An Efficient Software Stack Sphere Decoder for Polar Codes
    Huayi Zhou

    Wenqing Song

    Zaichen Zhang

    Xiaohu You

    Chuan Zhang
    software

    polar

    mobile communication systems

    list size

    latency

    electronic engineering

    decoding methods

    computer science

    channel

    arithmetic
    IEEE Transactions on Vehicular Technology
    (2020-02-01)

    ieeexplore.ieee.org

    Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
    Tong He

    Ru Kong

    Avram J. Holmes

    Minh Nguyen

    Mert R. Sabuncu

    Simon B. Eickhoff

    Jiashi Feng

    B.T. Thomas Yeo
    sample size determination

    resting state fmri

    psychology

    neuroimaging

    machine learning

    kernel regression

    human connectome project

    feedforward neural network

    deep learning

    connectome

    cognitive psychology

    artificial intelligence
    NeuroImage
    (2020-02-01)

    www.sciencedirect.com

    Catalytic hydrolysis of microcystin-LR peptides on the surface of naturally occurring minerals
    Yanfen Fang

    Xinqiang Cao

    Wei Zhou

    David M. Johnson

    Yingping Huang
    specific surface area

    reaction rate

    organic chemistry

    microcystin lr

    microcystin

    limonite

    lewis acids and bases

    inorganic chemistry

    hydrolysis

    chemistry

    catalysis
    Research on Chemical Intermediates
    (2020-02-01)

    link.springer.com

    Efficient drone hijacking detection using Two-Step GA-XGBoost
    Zhiwei Feng

    Nan Guan

    Mingsong Lv

    Wenchen Liu

    Qingxu Deng

    Wang Yi
    upload

    two step

    real time computing

    inertial navigation system

    inertial measurement unit

    global positioning system

    genetic algorithm

    drone

    correctness

    computer science
    Journal of Systems Architecture
    (2020-02-01)

    www.sciencedirect.com

    Assessment of Extubation Readiness Using Spontaneous Breathing Trials in Extremely Preterm Neonates.
    Wissam Shalish

    Lara Kanbar

    Lajos Kovacs

    Sanjay Chawla

    Martin Keszler

    Smita Rao

    Samantha Latremouille

    Karen Brown

    Robert E. Kearney

    Guilherme M. Sant’Anna
    surgery

    medicine

    mechanical ventilation

    interquartile range

    intensive care

    gestational age

    continuous positive airway pressure

    bradycardia

    birth weight

    apnea

    anesthesia
    JAMA Pediatrics
    (2020-02-01)

    jamanetwork.com

    A white-light-emitting single MOF sensor-based array for berberine homologue discrimination
    Qian Wang

    Qiao Liu

    Xiao-Meng Du

    Bo Zhao

    Wen-Juan Ruan
    white light

    titration

    single measurement

    sensor array

    selectivity

    photochemistry

    optoelectronics

    materials science

    luminescence

    berberine

    analyte
    Journal of Materials Chemistry C
    (2020-01-30)

    pubs.rsc.org

    fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
    Florian Knoll

    Jure Zbontar

    Anuroop Sriram

    Matthew J. Muckley

    Mary Bruno

    Aaron Defazio

    Marc Parente

    Krzysztof J. Geras

    Joe Katsnelson

    Hersh Chandarana

    Zizhao Zhang

    Michal Drozdzalv

    Adriana Romero

    James Pinkerton

    Duo Wang

    Nafissa Yakubova

    Erich Owens

    C. Lawrence Zitnick

    … (3 more)

    k space

    mr images

    dicom

    computer vision

    computer science

    artificial intelligence
    Radiology. Artificial intelligence
    (2020-01-29)

    pubs.rsna.org

    A luminescent MOF as a fluorescent sensor for the sequential detection of Al3+ and phenylpyruvic acid
    Qian Wang

    Xiao-Meng Du

    Bo Zhao

    Meili Pang

    Wen-Juan Ruan
    selectivity

    phenylpyruvic acid

    nuclear chemistry

    luminescence

    ligand

    intramolecular force

    inorganic chemistry

    fluorescence

    chemistry

    aqueous solution

    adsorption
    New Journal of Chemistry
    (2020-01-27)

    pubs.rsc.org

    Resting-state connectivity stratifies premanifest Huntington's disease by longitudinal cognitive decline rate.
    Pablo Polosecki

    Eduardo Castro

    Dorian Pustina

    John H. Warner

    Andrew Wood

    Cristina Sampaio

    Guillermo A. Cecchi
    white matter

    resting state fmri

    population

    physical medicine and rehabilitation

    neuroimaging

    medicine

    huntington s disease

    cohort

    cognitive decline

    cognition
    Scientific Reports
    (2020-01-27)

    www.nature.com

    Multi-Task Self-Supervised Learning for Robust Speech Recognition
    Mirco Ravanelli

    Jianyuan Zhong

    Santiago Pascual

    Pawel Swietojanski

    Joao Monteiro

    Jan Trmal

    unsupervised learning

    timit

    speech recognition

    self supervised learning

    speech distortion

    pattern recognition

    ground truth

    encoder

    computer science

    artificial neural network

    artificial intelligence
    ICASSP 2020
    (2020-01-25)

    ieeexplore.ieee.org

    SafeWatch: A Wearable Hand Motion Tracking System for Improving Driving Safety
    Chongguang Bi

    Jun Huang

    Guoliang Xing

    Landu Jiang

    Minghua Chen
    wearable computer

    tracking system

    real time computing

    hand motion

    engineering

    driving safety
    ACM Transactions on Cyber-Physical Systems
    (2020-01-22)

    dblp.uni-trier.de

    A multicut outer-approximation approach for competitive facility location under random utilities
    Tien Mai

    separable space

    robustness

    perfect competition

    nonlinear system

    mathematics

    mathematical optimization

    facility location problem

    data set

    cutting plane method

    convexity
    European Journal of Operational Research
    (2020-01-17)

    www.sciencedirect.com

    Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem
    Jaime E. González

    Andre A. Cire

    Louis-Martin Rousseau
    solver

    search tree

    recursion

    mathematics

    mathematical optimization

    integer programming

    influence diagram

    independent set

    exploit

    combinatorial optimization problem
    Constraints – An International Journal
    (2020-01-15)

    link.springer.com

    Optogenetic activation of parvalbumin and somatostatin interneurons selectively restores theta-nested gamma oscillations and oscillation-induced spike timing-dependent long-term potentiation impaired by amyloid β oligomers.
    Kyerl Park

    Jaedong Lee

    Hyun Jae Jang

    Michael M. Kohl

    Jeehyun Kwag
    synaptic plasticity

    parvalbumin

    optogenetics

    neuroscience

    molecular biology

    long term potentiation

    ltp induction

    interneuron

    hippocampal formation

    biology

    biological neural network
    BMC Biology
    (2020-01-15)

    bmcbiol.biomedcentral.comPDF

    Ultrasensitive Assay of Alkaline Phosphatase Based on the Fluorescent Response Difference of the Metal-Organic Framework Sensor.
    Xi-Yuan Yao

    Qian Wang

    Qiao Liu

    Meili Pang

    Xiao-Meng Du

    Bo Zhao

    Wen-Juan Ruan
    metal organic framework

    fluorescence

    enzyme

    clinical diagnosis

    chemistry

    biochemistry

    alkaline phosphatase

    abnormal expression
    ACS omega
    (2020-01-14)

    pubs.acs.orgPDF

    HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution
    Christopher Jf Cameron

    Josée Dostie

    restriction fragment

    matrix

    markov random field

    interpretability

    genetics

    density estimation

    deep sequencing

    chromosome conformation capture

    chia pet

    biology

    biological system
    Genome Biology
    (2020-01-14)

    genomebiology.biomedcentral.com

    Uncovering axes of variation among single-cell cancer specimens.
    William S. Chen

    Nevena Zivanovic

    David van Dijk

    Bernd Bodenmiller

    Smita Krishnaswamy
    scalability

    multicellular organism

    manifold

    general method

    embedding

    design of experiments

    cell cancer

    biology

    biological system

    bioinformatics
    Nature Methods
    (2020-01-13)

    www.nature.com

    Tiling Optimizations for Stencil Computations Using Rewrite Rules in Lift
    Larisa Stoltzfus

    Bastian Hagedorn

    Michel Steuwer

    Sergei Gorlatch

    stencil

    parallel computing

    lift

    general purpose computing on graphics processing units

    computer science

    computation

    code generation
    ACM Transactions on Architecture and Code Optimization
    (2020-01-10)

    www.research.ed.ac.ukPDF

    Upstream ORF-Encoded ASDURF Is a Novel Prefoldin-like Subunit of the PAQosome.
    Philippe Cloutier

    Christian Poitras

    Denis Faubert

    Annie Bouchard

    Marie-Soleil Gauthier

    Benoit Coulombe
    upstream open reading frame

    untranslated region

    translational regulation

    protein subunit

    protein complex assembly

    prefoldin

    computational biology

    coding region

    chaperone

    biology

    biochemistry
    Journal of Proteome Research
    (2020-01-03)

    pubs.acs.org

    Author Correction: Visualizing structure and transitions in high-dimensional biological data.
    Kevin R. Moon

    David van Dijk

    Zheng Wang

    Scott Gigante

    Daniel B. Burkhardt

    William S. Chen

    Kristina Yim

    Antonia van den Elzen

    Matthew J. Hirn

    Ronald R. Coifman

    Natalia B. Ivanova

    Smita Krishnaswamy
    high dimensional

    computational biology

    biotechnology

    biology

    biological data
    Nature Biotechnology
    (2020-01-02)

    www.nature.com

    Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation
    Wei Wang

    Chuang Wang

    Tao Cui

    theoretical computer science

    numeric data

    network structure

    generative grammar

    distributed computing

    computer science

    adversarial system
    IEEE Access
    (2020-01-01)

    xplorestaging.ieee.org

    Enabling Secure Trustworthiness Assessment and Privacy Protection in Integrating Data for Trading Person-Specific Information
    Rashid Hussain Khokhar

    Farkhund Iqbal

    Jamal Bentahar
    trustworthiness

    specific information

    privacy protection

    management science

    internet privacy

    engineering
    IEEE Transactions on Engineering Management
    (2020-01-01)

    xplorestaging.ieee.org

    Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
    Tanya Nair

    Doina Precup

    Douglas L. Arnold

    voxel

    sigmoid function

    segmentation

    pattern recognition

    network on

    multiple sclerosis lesion

    monte carlo method

    mathematics

    filter

    deep learning

    artificial intelligence
    Medical Image Analysis
    (2020-01-01)

    www.sciencedirect.com

    Efficient and Effective Dimension Control in Automotive Applications
    Ye Ma

    Gang Chen

    Mingsong Lv

    Wang Yi

    Hao Chen

    Bo Zhu
    effective dimension

    control engineering

    computer science

    automotive industry
    IEEE Transactions on Industrial Informatics
    (2020-01-01)

    xplorestaging.ieee.org

    AdSherlock: Efficient and Deployable Click Fraud Detection for Mobile Applications
    Chenhong Cao

    Yi Gao

    Yang Luo

    Mingyuan Xia

    Wei Dong

    Chun Chen

    computer science

    computer network

    click fraud
    IEEE Transactions on Mobile Computing
    (2020-01-01)

    xplorestaging.ieee.org

    Givs: Fine-Grained Gesture Control for Mobile Devices in Driving Environments
    Landu Jiang

    Mingyuan Xia

    Fan Bai
    use case

    touchscreen

    public transport

    obstacle

    mobile device

    mobile computing

    human computer interaction

    gesture recognition

    gesture

    distributed computing

    computer science
    IEEE Access
    (2020-01-01)

    dblp.uni-trier.de

    Bulk Savings for Bulk Transfers: Minimizing the Energy-Cost for Geo-Distributed Data Centers
    Xingjian Lu

    Fanxin Kong

    Jianwei Yin

    Qiao Xiang

    Huiqun Yu
    real time computing

    operating cost

    job shop scheduling

    electronic mail

    distributed database

    distributed computing

    data transmission

    data modeling

    data center

    computer science

    cloud computing
    CLOUDCOM 2020
    (2020-01-01)

    ieeexplore.ieee.org

    Mycorrhiza: Genotype Assignment using Phylogenetic Networks.
    Jeremy Georges-Filteau

    Richard C Hamelin

    random forest

    python

    phylogenetic tree

    phylogenetic network

    encode

    dimensionality reduction

    data mining

    computer science

    classifier

    assignment problem
    Bioinformatics
    (2020-01-01)

    academic.oup.com

    An ILP Solver for Multi-label MRFS with Connectivity Constraints.
    Ruobing Shen

    Eric Kendinibilir

    Ismail Ben Ayed

    Andrea Tramontani

    Gerhard Reinelt
    solver

    pattern recognition

    parallel computing

    mathematics

    artificial intelligence
    IEEE Transactions on Image Processing
    (2020-01-01)

    dblp.uni-trier.dePDF

    Activation Adaptation in Neural Networks.
    Farnoush Farhadi

    Vahid Partovi Nia

    machine learning

    computer science

    artificial neural network

    artificial intelligence
    ICPRAM 2020
    (2020-01-01)

    dblp.uni-trier.dePDF

    Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks.
    Stefan Horoi

    Victor Geadah

    Guillaume Lajoie
    recurrent neural network

    encoding

    computer science

    artificial intelligence
    Canadian Conference on AI
    (2020-01-01)

    dblp.uni-trier.de

    Block planning for intermodal rail: Methodology and case study
    Gianluca Morganti

    Teodor Gabriel Crainic

    Nicolettta Ricciardi
    transport engineering

    rail freight transport

    network planning and design

    economies of scale

    destinations

    computer science

    commercial software
    Transportation research procedia
    (2020-01-01)

    www.sciencedirect.com

    The AI Driving Olympics at NeurIPS 2018
    Julian G. Zilly

    Jacopo Tani

    Breandan Considine

    Bhairav Mehta

    Andrea F. Daniele

    Manfred Diaz

    Gianmarco Bernasconi

    Claudio Ruch

    Jan Hakenberg

    Florian Golemo

    A. Kirsten Bowser

    Matthew R. Walter

    Ruslan Hristov

    Sunil Mallya

    Emilio Frazzoli

    Andrea Censi

    robotics

    reinforcement learning

    neural information processing

    machine learning

    implementation

    human computer interaction

    fleet management

    embodied cognition

    deep learning

    computer science

    competitor analysis

    artificial intelligence
    NEURIPS 2020
    (2020-01-01)

    link.springer.com

    Few-Shot Learning
    computer vision

    computer science

    artificial intelligence
    (venue unknown)
    (2020-01-01)

    link.springer.com

    Toward Training Recurrent Neural Networks for Lifelong Learning.
    Shagun Sodhani

    recurrent neural network

    parametric statistics

    mathematics

    machine learning

    lifelong learning

    forgetting

    artificial intelligence
    Neural Computation
    (2020-01-01)

    ui.adsabs.harvard.eduPDF

    2019

    CLOSURE: Assessing Systematic Generalization of CLEVR Models.
    Dzmitry Bahdanau

    Harm de Vries

    Shikhar Murty

    Philippe Beaudoin

    computer science

    calculus
    ViGIL@NeurIPS
    (2019-12-12)

    dblp.uni-trier.dePDF

    Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
    Atilim Gunes Baydin

    Lei Shao

    Wahid Bhimji

    Lukas Heinrich

    Saeid Naderiparizi

    Andreas Munk

    Jialin Liu

    Bradley J Gram-Hansen

    Gilles Louppe

    Lawrence Meadows

    Philip Torr

    Victor Lee

    Kyle Cranmer

    Prabhat

    recurrent neural network

    probabilistic logic

    markov chain monte carlo

    machine learning

    inference engine

    inference

    importance sampling

    computer science

    bayesian probability

    artificial neural network

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    The Thermodynamic Variational Objective
    Vaden Masrani

    Tuan Anh Le

    upper and lower bounds

    thermodynamic integration

    mathematical optimization

    marginal likelihood

    inference

    generative grammar

    estimator

    computer science
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
    Gaël Letarte

    Benjamin Guedj

    Francois Laviolette
    machine learning

    expected loss

    deep neural networks

    computer science

    binary number

    bayesian probability

    artificial neural network

    artificial intelligence

    activation function
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    A Geometric Perspective on Optimal Representations for Reinforcement Learning

    Will Dabney

    Robert Dadashi-Tazehozi

    Adrien Ali Taiga

    Pablo Samuel Castro

    Nicolas Le Roux

    Dale Schuurmans

    Tor Lattimore

    Clare Lyle
    special class

    reinforcement learning

    mathematical optimization

    feature learning

    computer science

    close relationship

    bellman equation

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Learning Representations by Maximizing Mutual Information Across Views
    Philip Bachman

    William Buchwalter
    segmentation

    mutual information

    multiple view

    modalities

    machine learning

    feature learning

    computer science

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Learning Neural Networks with Adaptive Regularization
    Han Zhao

    Yao-Hung Tsai

    Ruslan Salakhutdinov

    regularization

    multiclass classification

    machine learning

    kronecker product

    kronecker delta

    empirical bayes method

    coordinate descent

    computer science

    backpropagation

    artificial neural network

    artificial intelligence

    algorithm
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Towards modular and programmable architecture search
    Renato Negrinho

    Matthew Gormley

    Darshan Patil

    Nghia Le

    Daniel Ferreira
    theoretical computer science

    search algorithm

    modular design

    machine learning

    language model

    language construct

    hyperparameter optimization

    formal language

    encoding

    deep learning

    computer science

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Efficient Graph Generation with Graph Recurrent Attention Networks
    Renjie Liao

    Yujia Li

    Yang Song

    Shenlong Wang

    David Duvenaud

    Raquel Urtasun

    Richard Zemel
    theoretical computer science

    sampling

    sample quality

    mathematical optimization

    graph generation

    graph

    generative grammar

    computer science

    bottleneck

    block size

    bernoulli s principle
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
    Mahmoud Assran

    Joshua Romoff

    Nicolas Ballas

    synchronization

    scalability

    reinforcement learning

    machine learning

    gossip

    distributed computing

    computer science

    asynchronous communication

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Probabilistic Logic Neural Networks for Reasoning
    Meng Qu

    theoretical computer science

    term logic

    rule of inference

    probabilistic logic

    markov logic network

    machine learning

    inference

    embedding

    domain knowledge

    computer science

    artificial neural network

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
    Fan-Yun Sun

    Meng Qu

    Jordan Hoffmann

    Chin-Wei Huang

    theoretical computer science

    power graph analysis

    parameterized complexity

    multinomial distribution

    machine learning

    inference

    graph

    generative model

    feature learning

    computer science

    backpropagation

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Online Continual Learning with Maximal Interfered Retrieval
    Rahaf Aljundi

    Eugene Belilovsky

    Tinne Tuytelaars

    Massimo Caccia

    Min Lin

    Lucas Page-Caccia
    sampling

    machine learning

    learning agent

    generative model

    generative grammar

    forgetting

    continual learning

    computer science

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Exact Combinatorial Optimization with Graph Convolutional Neural Networks
    Maxime Gasse

    Didier Chetelat

    Nicola Ferroni

    theoretical computer science

    solver

    machine learning

    graph

    feature selection

    convolutional neural network

    computer science

    combinatorial optimization problem

    combinatorial optimization

    branching

    bipartite graph

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Real-Time Reinforcement Learning
    Simon Ramstedt

    reinforcement learning

    markov decision process

    machine learning

    control algorithm

    computer science

    computation

    artificial intelligence

    action selection
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Neural Multisensory Scene Inference
    Jae Hyun Lim

    Pedro O. Pinheiro

    Negar Rostamzadeh

    Sungjin Ahn
    stimulus modality

    robustness

    modalities

    machine learning

    inference

    generative grammar

    feature learning

    embodied cognition

    computer science

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Reducing the variance in online optimization by transporting past gradients
    Sébastien Arnold

    Pierre-Antoine Manzagol

    Reza Harikandeh

    Nicolas Le Roux
    variance reduction

    stochastic optimization

    rate of convergence

    online optimization

    mathematical optimization

    iterated function

    hessian matrix

    finite set

    estimator

    computer science
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Reducing Noise in GAN Training with Variance Reduced Extragradient
    Tatjana Chavdarova

    Gauthier Gidel

    François Fleuret

    optimization methods

    optimization algorithm

    mathematical optimization

    mnist database

    large class

    gradient noise

    convergence

    computer science

    batch method
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
    Gauthier Gidel

    Francis Bach

    regularization

    regression

    optimization algorithm

    mathematical optimization

    linear network

    initialization

    deep neural networks

    convergence

    computer science

    artificial neural network
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
    Sharan Vaswani

    Aaron Mishkin

    Issam Laradji

    Mark Schmidt

    Gauthier Gidel

    stochastic gradient descent

    rate of convergence

    mathematical optimization

    lipschitz continuity

    line search

    kernel method

    interpolation

    gradient descent

    convergence

    computer science
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Ordered Memory
    Yikang Shen

    Shawn Tan

    SeyedArian Hosseini

    Zhouhan Lin

    Alessandro Sordoni

    treebank

    tree structure

    recursion

    recurrent neural network

    memory architecture

    machine learning

    ground truth

    deep learning

    cumulative distribution function

    computer science

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    No-Press Diplomacy: Modeling Multi-Agent Gameplay
    Philip Paquette

    Yuchen Lu

    Seton Steven Bocco

    Max Smith

    Jonathan K. Kummerfeld

    Satinder Singh

    teamwork

    supervised learning

    social dilemma

    reinforcement learning

    machine learning

    diplomacy

    computer science

    betrayal

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    On Adversarial Mixup Resynthesis
    Christopher Beckham

    Sina Honari

    Alex Lamb

    vikas verma

    Farnoosh Ghadiri

    qualitative evidence

    machine learning

    interpolation

    discriminator

    computer science

    artificial intelligence

    architecture

    adversarial system
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
    Maxence Ernoult

    Benjamin Scellier

    Damien Querlioz

    Julie Grollier
    transition function

    steady state

    recurrent neural network

    mathematical optimization

    mnist database

    deep neural networks

    computer science

    backpropagation through time

    artificial neural network

    algorithm
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
    Devansh Arpit

    Víctor Campos

    robustness

    residual neural network

    residual

    normalization

    machine learning

    initialization

    deep learning

    computer science

    artificial intelligence

    algorithm
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Variational Temporal Abstraction
    Taesup Kim

    Sungjin Ahn

    theoretical computer science

    state space representation

    sequential data

    machine learning

    inference

    imagination

    computer science

    artificial intelligence

    abstraction
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
    Giancarlo Kerg

    Kyle Goyette

    Maximilian Puelma Touzel

    Gauthier Gidel

    Eugene Vorontsov

    Guillaume Lajoie
    vanishing gradient problem

    schur decomposition

    recurrent neural network

    orthogonality

    orthogonal matrix

    matrix

    mathematical optimization

    eigenvalues and eigenvectors

    computer science

    computation

    algorithm
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Unsupervised State Representation Learning in Atari
    Ankesh Anand

    Evan Racah

    Sherjil Ozair

    Marc-Alexandre Côté

    state representation

    open problem

    mutual information

    machine learning

    intelligent agent

    ground truth

    generative grammar

    feature learning

    encoder

    computer science

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Gradient based sample selection for online continual learning
    Rahaf Aljundi

    Min Lin

    Baptiste Goujaud

    sample selection

    mathematical optimization

    machine learning

    gradient based algorithm

    forgetting

    feasible region

    continual learning

    constraint reduction

    constrained optimization

    computer science

    artificial neural network

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
    Kundan Kumar

    Rithesh Kumar

    Thibault de Boissiere

    Lucas Gestin

    Wei Zhen Teoh

    Jose Sotelo

    Alexandre de Brébisson

    waveform

    speech synthesis

    raw audio format

    mean opinion score

    machine learning

    inversion

    generative grammar

    generality

    computer science

    artificial intelligence

    algorithm

    adversarial system
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Wasserstein Dependency Measure for Representation Learning
    Sherjil Ozair

    Corey Lynch

    Aaron van den Oord

    Sergey Levine

    Pierre Sermanet
    reinforcement learning

    overfitting

    mutual information

    maximization

    machine learning

    lipschitz continuity

    kullback leibler divergence

    feature learning

    computer science

    cognitive neuroscience of visual object recognition

    artificial intelligence
    NEURIPS 2019
    (2019-12-08)

    papers.nips.ccPDF

    Visualizing structure and transitions in high-dimensional biological data.
    Kevin R. Moon

    David van Dijk

    Zheng Wang

    Scott Gigante

    Daniel B. Burkhardt

    William S. Chen

    Kristina Yim

    Antonia van den Elzen

    Matthew J. Hirn

    Ronald R. Coifman

    Natalia B. Ivanova

    Smita Krishnaswamy
    visualization

    pattern recognition

    embedding

    dimensionality reduction

    data visualization

    data type

    data structure

    data point

    biotechnology

    biology

    biological data

    artificial intelligence
    Nature Biotechnology
    (2019-12-03)

    www.nature.com

    Author correction: Why rankings of biomedical image analysis competitions should be interpreted with care (Nature Communications, (2018), 9, 1, (5217), 10.1038/s41467-018-07619-7)
    Lena Maier-Hein

    Matthias Eisenmann

    Annika Reinke

    Sinan Onogur

    Marko Stankovic

    Patrick Scholz

    Hrvoje Bogunovic

    Andrew P. Bradley

    Aaron Carass

    Carolin Feldmann

    Alejandro F. Frangi

    Peter M. Full

    Bram van Ginneken

    Allan Hanbury

    Katrin Honauer

    Michal Kozubek

    Bennett A. Landman

    Keno März

    Oskar Maier

    … (18 more)

    information retrieval

    genetics

    biomedical image

    biology
    Nature Communications
    (2019-12-01)

    research.tue.nl

    Finding Archetypal Spaces Using Neural Networks
    David van Dijk

    Daniel B. Burkhardt

    Matthew Amodio

    Alexander Tong

    Smita Krishnaswamy
    theoretical computer science

    maxima and minima

    machine learning

    feature vector

    feature learning

    data domain

    data density

    convex combination

    computer science

    artificial neural network

    artificial intelligence

    archetypal analysis
    BIG DATA 2019
    (2019-12-01)

    dblp.uni-trier.de

    Coupling between human brain activity and body movements: Insights from non-invasive electromagnetic recordings
    Mathieu Bourguignon

    Veikko Jousmaki

    Sarang S.S. Dalal

    Xavier De Tiege
    sensorimotor rhythm

    psychology

    proprioception

    neuroscience

    magnetoencephalography

    isometric exercise

    human brain

    electroencephalography

    efferent

    coherence

    cognitive psychology
    NeuroImage
    (2019-12-01)

    www.sciencedirect.comPDF

    Bisimulation for Feller-Dynkin Processes
    Linan Chen

    Florence Clerc

    theoretical computer science

    stochastic process

    markov process

    markov chain

    equivalence

    computer science

    bisimulation

    algebra
    Electronic Notes in Theoretical Computer Science
    (2019-11-30)

    www.sciencedirect.com

    Universality and diversity in human song.
    Samuel A. Mehr

    Manvir Singh

    Dean Knox

    Daniel M. Ketter

    Daniel Pickens-Jones

    S. Atwood

    Christopher Lucas

    Nori Jacoby

    Alena A. Egner

    Erin J. Hopkins

    Rhea M. Howard

    Joshua K. Hartshorne

    Mariela V. Jennings

    Jan Simson

    Constance M. Bainbridge

    Steven Pinker

    Max M. Krasnow

    Luke Glowacki
    vocal music

    tonality

    psychology

    perception

    musical form

    musical

    melody

    formality

    dance

    cognitive psychology
    Science
    (2019-11-22)

    hraf.yale.eduPDF

    Etalumis: bringing probabilistic programming to scientific simulators at scale
    Atilim Güneş Baydin

    Lei Shao

    Wahid Bhimji

    Lukas Heinrich

    Lawrence Meadows

    Jialin Liu

    Andreas Munk

    Saeid Naderiparizi

    Bradley Gram-Hansen

    Gilles Louppe

    Mingfei Ma

    Xiaohui Zhao

    Philip Torr

    Victor Lee

    Kyle Cranmer

    Prabhat

    supercomputer

    scalability

    rewriting

    probabilistic logic

    markov chain monte carlo

    inference

    distributed computing

    deep learning

    computer science

    bayesian inference

    artificial intelligence
    HIPC 2019
    (2019-11-17)

    inspirehep.net

    Universal Dependencies 2.5
    Daniel Zeman

    Joakim Nivre

    Mitchell Abrams

    Noëmi Aepli

    Željko Agić

    Lars Ahrenberg

    Gabrielė Aleksandravičiūtė

    Lene Antonsen

    Katya Aplonova

    Maria Jesus Aranzabe

    Gashaw Arutie

    Masayuki Asahara

    Luma Ateyah

    Mohammed Attia

    Aitziber Atutxa

    Liesbeth Augustinus

    Elena Badmaeva

    Miguel Ballesteros

    Esha Banerjee

    Sebastian Bank

    … (324 more)

    universal dependencies

    treebank

    syntax

    parsing

    natural language processing

    interlingua

    computer science

    artificial intelligence

    annotation
    (venue unknown)
    (2019-11-15)

    hdl.handle.net

    SST'19 – Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019
    Jan-Philipp Steghöfer

    Nan Niu

    Anas Mahmoud
    traceability

    systems engineering

    software engineering

    software

    computer science
    ACM Sigsoft Software Engineering Notes
    (2019-11-14)

    dblp.uni-trier.de

    oRNAment: a database of putative RNA binding protein target sites in the transcriptomes of model species.
    Louis Philip Benoit Bouvrette

    Samantha Bovaird

    Eric Lécuyer
    transcriptome

    rna binding protein

    rna

    model organism

    drosophila melanogaster

    database

    danio

    caenorhabditis elegans

    biology

    binding site
    Nucleic Acids Research
    (2019-11-14)

    academic.oup.com

    Nonlinear chance-constrained problems with applications to hydro scheduling

    Enrico Malaguti

    Giacomo Nannicini

    Dimitri Thomopulos
    solver

    scheduling

    numerical analysis

    nonlinear system

    nonlinear programming

    mathematics

    mathematical optimization

    job shop scheduling

    finite set

    feasible region
    Mathematical Programming
    (2019-11-14)

    link.springer.com

    Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy
    Alex Lamb

    Vikas Verma

    Juho Kannala

    standard test

    standard error

    robustness

    machine learning

    interpolation

    deep learning

    computer science

    artificial neural network

    artificial intelligence

    adversary

    adversarial system
    Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security
    (2019-11-11)

    dblp.uni-trier.de

    Integral formulations of volumetric transmittance
    Iliyan Georgiev

    Zackary Misso

    Toshiya Hachisuka

    Jaroslav Křivánek

    Wojciech Jarosz
    transmittance

    random walk

    monte carlo method

    monte carlo integration

    mathematics

    mathematical optimization

    light attenuation

    intuition

    estimator

    control variates
    ACM Transactions on Graphics
    (2019-11-08)

    doi.org

    Non-linear sphere tracing for rendering deformed signed distance fields
    Dario Seyb

    Alec Jacobson

    Wojciech Jarosz
    tracing

    signed distance function

    rendering

    nonlinear system

    mathematics

    computer vision

    computer graphics images

    artificial intelligence
    ACM Transactions on Graphics
    (2019-11-08)

    dblp.uni-trier.de

    Referring Expression Generation Using Entity Profiles
    referring expression generation

    natural language processing

    computer science

    artificial intelligence
    IJCNLP 2019
    (2019-11-03)

    www.emnlp-ijcnlp2019.orgPDF

    Countering the effects of lead bias in news summarization via multi-stage training and auxiliary losses
    Matt Grenander

    Yue Dong

    Annie Louis
    natural language processing

    multi stage

    computer science

    automatic summarization

    artificial intelligence
    IJCNLP 2019
    (2019-11-03)

    www.emnlp-ijcnlp2019.orgPDF

    How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
    Paul Trichelair

    Ali Emami

    Adam Trischler

    Kaheer Suleman

    winograd schema challenge

    natural language processing

    computer science

    commonsense reasoning

    artificial intelligence
    IJCNLP 2019
    (2019-11-03)

    www.emnlp-ijcnlp2019.org

    CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
    Koustuv Sinha

    Shagun Sodhani

    Jin Dong

    natural language processing

    inductive reasoning

    computer science

    artificial intelligence
    IJCNLP 2019
    (2019-11-03)

    www.emnlp-ijcnlp2019.orgPDF

    GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
    Huawei Shen

    Peng Bao
    power graph analysis

    information retrieval

    graph neural networks

    graph

    graph

    feature learning

    data structure

    computer science
    CIKM 2019
    (2019-11-03)

    dblp.uni-trier.de

    AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
    Weiping Song

    Chence Shi

    Zhiping Xiao

    Zhijian Duan

    Yewen Xu

    Ming Zhang

    user identifier

    self attention

    residual

    recommender system

    raw data

    online advertising

    data mining

    computer science

    categorical variable

    artificial neural network
    CIKM 2019
    (2019-11-03)

    dblp.uni-trier.dePDF

    Interactive Language Learning by Question Answering
    Xingdi Yuan

    Marc-Alexandre Côté

    Jie Fu

    Zhouhan Lin

    Adam Trischler
    question answering

    natural language processing

    linguistics

    language acquisition

    computer science

    artificial intelligence
    IJCNLP 2019
    (2019-11-03)

    www.emnlp-ijcnlp2019.org

    RadioLoc: Learning Vehicle Locations with FM Signal in All-Terrain Environments
    Xi Chen

    Qiao Xiang

    Linghe Kong

    terrain

    sweep frequency response analysis

    satellite navigation

    real time computing

    intelligent transportation system

    global positioning system

    frequency modulation

    distributed computing

    distortion

    computer science

    bandwidth
    MASS 2019
    (2019-11-01)

    dblp.uni-trier.de

    Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
    Sahand Rezaei-Shoshtari

    Inna Sharf
    robot manipulator

    robot

    recursion

    manipulator

    inverse dynamics

    gaussian process

    dimensionality reduction

    data efficiency

    control theory

    control engineering

    computer science
    IROS 2019
    (2019-11-01)

    dblp.uni-trier.de

    Deep Generative Modeling of LiDAR Data
    Lucas Caccia

    Herke van Hoof

    robustness

    robotics

    point cloud

    lidar data

    lidar

    generative grammar

    external data representation

    data type

    computer vision

    computer science

    artificial intelligence
    IROS 2019
    (2019-11-01)

    dblp.uni-trier.de

    Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.
    Willem Zuidema

    Robert M. French

    Raquel G. Alhama

    Kevin Ellis

    Tim Sainburg

    Timothy Q. Gentner
    visualization

    psychology

    model selection

    experimental research

    computational model

    cognitive science

    bayesian inference

    artificial neural network

    artificial language learning

    artificial grammar learning
    Topics in Cognitive Science
    (2019-10-30)

    onlinelibrary.wiley.com

    Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
    Martin Weiss

    Simon Chamorro

    Roger Girgis

    Margaux Luck

    Samira Ebrahimi Kahou

    Joseph Paul Cohen

    Florian Golemo

    visually impaired

    computer vision

    computer science

    artificial intelligence
    CoRL
    (2019-10-29)

    proceedings.mlr.press

    Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI.
    Joshua Durso-Finley

    Douglas L. Arnold

    voxel

    segmentation

    salience

    radiology

    multiple sclerosis

    lesion

    false positive paradox

    false discovery rate

    deep learning

    computer science

    artificial intelligence
    BrainLes@MICCAI (1)
    (2019-10-17)

    link.springer.com

    Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference
    Raghav Mehta

    Thomas Christinck

    Tanya Nair

    Paul Lemaître

    Douglas L. Arnold

    voxel

    segmentation

    sample variance

    pattern recognition

    monte carlo method

    medical imaging

    inference

    embedding

    deep learning

    computer science

    artificial intelligence
    UNSURE/CLIP@MICCAI
    (2019-10-17)

    doi.org

    Efficient Inference Amortization in Graphical Models using Structured Continuous Conditional Normalizing Flows
    Christian Weilbach

    Boyan Beronov

    William Harvey

    inference

    graphical model

    data mining

    computer science

    amortization
    (venue unknown)
    (2019-10-16)

    openreview.netPDF

    Visual short‐term memory activation patterns in adult survivors of childhood acute lymphoblastic leukemia
    Aubree Boulet‐Craig

    Philippe Robaey

    Fanny Barlaam

    Julie Laniel

    Victor Oswald

    Serge Sultan

    Laurence Affret‐Bertout

    Simon Drouin

    Maja Krajinovic

    Caroline Laverdière

    Daniel Sinnett

    Pierre Jolicoeur

    Sarah Lippé
    visual short term memory

    supramarginal gyrus

    short term memory

    precentral gyrus

    postcentral gyrus

    pathology

    neurocognitive

    middle temporal gyrus

    medicine

    inferior frontal gyrus

    audiology
    Nash Games Among Stackelberg Leaders.
    Margarida Carvalho

    Gabriele Dragotto

    Felipe Feijoo

    Sriram Sankaranarayanan
    stackelberg competition

    nash games

    mathematical economics
    (venue unknown)
    (2019-10-14)

    dblp.uni-trier.dePDF

    Improving Pathological Structure Segmentation via Transfer Learning Across Diseases
    Barleen Kaur

    Paul Lemaître

    Raghav Mehta

    Nazanin Mohammadi Sepahvand

    Douglas L. Arnold

    transfer of learning

    supervised learning

    segmentation

    network on

    machine learning

    large class

    encoder

    deep learning

    computer science

    brain tumor segmentation

    artificial intelligence
    DART/MIL3ID@MICCAI
    (2019-10-13)

    doi.org

    Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders.
    Sumana Basu

    Konrad Wagstyl

    Azar Zandifar

    D. Louis Collins

    Adriana Romero

    structural magnetic resonance imaging

    pattern recognition

    neuroscience

    latent variable

    early prediction

    disease progression

    disease

    dementia

    computer science

    artificial intelligence
    MICCAI 2019
    (2019-10-13)

    doi.org

    InfoMask: Masked Variational Latent Representation to Localize Chest Disease
    Saeid Asgari Taghanaki

    Mohammad Havaei

    Tess Berthier

    Francis Dutil

    Lisa Di-Jorio

    Ghassan Hamarneh

    pattern recognition

    mutual information

    masking

    limiting

    deep learning

    computer science

    chest disease

    artificial intelligence
    MICCAI 2019
    (2019-10-13)

    link.springer.com

    Visualizing High Dimensional Dynamical Processes
    Andres F. Duque

    Kevin R. Moon
    visualization

    time series

    pattern recognition

    operator

    nonlinear dimensionality reduction

    kernel

    information geometry

    dynamical systems theory

    data visualization

    data mining

    computer science

    artificial intelligence
    MLSP 2019
    (2019-10-12)

    sigport.orgPDF

    Exploring single-cell data with deep multitasking neural networks.
    Matthew Amodio

    David van Dijk

    Krishnan Srinivasan

    William S. Chen

    Hussein Mohsen

    Kevin R. Moon

    Allison Campbell

    Yujiao Zhao

    Xiaomei Wang

    Manjunatha Venkataswamy

    Anita Desai

    V. Ravi

    Priti Kumar

    Ruth Montgomery

    Smita Krishnaswamy
    visualization

    unsupervised clustering

    scalability

    human multitasking

    deep learning

    data mining

    biology

    bioinformatics

    artificial neural network

    artificial intelligence
    Nature Methods
    (2019-10-07)

    www.nature.comPDF

    A deep learning framework for neuroscience.

    Timothy P Lillicrap

    Philippe Beaudoin

    Rafal Bogacz

    Amelia Christensen

    Claudia Clopath

    Rui Ponte Costa

    Archy de Berker

    Surya Ganguli

    Colleen J Gillon

    Danijar Hafner

    Adam Kepecs

    Nikolaus Kriegeskorte

    Peter Latham

    Grace W Lindsay

    Kenneth D Miller

    Richard Naud

    Christopher C Pack

    Panayiota Poirazi

    … (12 more)

    systems neuroscience

    perception

    neuroscience

    deep learning

    cognition

    biology

    artificial neural network

    artificial intelligence
    Nature Neuroscience
    (2019-10-02)

    www.nature.com

    Deep Parametric Indoor Lighting Estimation
    Marc-Andre Gardner

    Yannick Hold-Geoffroy

    Kalyan Sunkavalli

    Jean-Francois Lalonde
    single image

    reflection mapping

    qualitative evaluations

    pattern recognition

    parametric statistics

    ground truth

    differentiable function

    computer vision

    computer science

    compositing

    artificial neural network

    artificial intelligence
    ICCV 2019
    (2019-10-01)

    openaccess.thecvf.comPDF

    Metal-organic frameworks based fluorescent sensor array for discrimination of flavonoids.
    Qiao Liu

    Jie Gao

    Zhe Zheng

    Di Ning

    Qian Wang

    Xiao-Meng Du

    Bo Zhao

    Wen-Juan Ruan

    uv spectrum

    sensor array

    metal organic framework

    linear discriminant analysis

    hierarchical clustering

    fluorescence

    drug analysis

    chemistry

    biological system

    analytical chemistry
    Talanta
    (2019-10-01)

    www.sciencedirect.com

    Learning chordal extensions

    Mathieu Tanneau

    Defeng Liu
    combinatorics

    chordal graph
    Les Cahiers du GERAD
    (2019-10-01)

    www.gerad.caPDF

    Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines
    Jakub M. Tomczak

    Szymon Zaręba

    Russell Greiner
    sampling

    restricted boltzmann machine

    pattern recognition

    maximum a posteriori estimation

    mathematics

    hidden variable theory

    gumbel distribution

    boltzmann machine

    boltzmann distribution

    binary number

    artificial intelligence

    algorithm
    Neural Processing Letters
    (2019-10-01)

    link.springer.comPDF

    Continual Learning of New Sound Classes Using Generative Replay
    Zhepei Wang

    Cem Subakan

    Efthymios Tzinis

    Paris Smaragdis

    training set

    spectrogram

    sound classification

    machine learning

    generative grammar

    forgetting

    electronic engineering

    continual learning

    computer science

    classifier

    artificial neural network

    artificial intelligence
    WASPAA 2019
    (2019-10-01)

    experts.illinois.edu

    Improved Conditional VRNNs for Video Prediction
    Lluis Castrejon

    Nicolas Ballas

    video sequence

    video prediction

    stochastic process

    probabilistic logic

    pattern recognition

    machine learning

    latent variable

    hierarchy

    expressivity

    data modeling

    computer science

    artificial intelligence
    ICCV 2019
    (2019-10-01)

    openaccess.thecvf.comPDF

    Batch Weight for Domain Adaptation With Mass Shift
    Mikolaj Binkowski

    training transfer

    target distribution

    semantics

    probabilistic logic

    pattern recognition

    joint probability distribution

    generative grammar

    domain adaptation

    computer science

    artificial intelligence
    ICCV 2019
    (2019-10-01)

    openaccess.thecvf.comPDF

    Depth with nonlinearity creates no bad local minima in ResNets.
    Kenji Kawaguchi

    residual neural network

    residual

    nonlinear system

    non convex optimization

    neural information processing

    network architecture

    maxima and minima

    mathematics

    mathematical optimization

    deep learning

    artificial intelligence
    Neural Networks
    (2019-10-01)

    www.sciencedirect.comPDF

    Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
    Mahfuzur Rahman Siddiquee

    Zongwei Zhou

    Nima Tajbakhsh

    Ruibin Feng

    Michael Gotway

    Jianming Liang
    pixel

    pattern recognition

    medical imaging

    image translation

    generative grammar

    fixed point

    disease detection

    computer vision

    computer science

    artificial intelligence

    annotation

    adversarial system
    ICCV 2019
    (2019-10-01)

    openaccess.thecvf.comPDF

    Retrieving Signals in the Frequency Domain with Deep Complex Extractors
    Chiheb Trabelsi

    Ousmane Dia

    Ying Zhang

    Mirco Ravanelli

    Jonathan Binas

    Negar Rostamzadeh

    Christopher J Pal
    pattern recognition

    frequency domain

    computer science

    artificial intelligence
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift
    Azadeh Sadat Mozafari

    Hugo Siqueira Gomes

    temperature scaling

    physics

    calibration

    algorithm
    (venue unknown)
    (2019-09-25)

    openreview.net

    Connectivity-constrained interactive annotations for panoptic segmentation
    Ruobing Shen

    Bo Tang

    Ismail Ben Ayed

    Thomas Guthier
    segmentation

    panopticon

    computer vision

    computer science

    artificial intelligence
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Beyond GANs: Transforming without a Target Distribution
    Matthew Amodio

    David van Dijk

    Ruth Montgomery

    Smita Krishnaswamy
    target distribution

    physics

    algorithm
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Variational inference of latent hierarchical dynamical systems in neuroscience: an application to calcium imaging data
    Luke Y. Prince

    inference

    dynamical systems theory

    computer science

    calcium imaging

    artificial intelligence
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Novelty Search in representational space for sample efficient exploration
    Ruo Yu Tao

    Vincent François-Lavet

    novelty

    information retrieval

    computer science
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Assessing Generalization in TD methods for Deep Reinforcement Learning
    Emmanuel Bengio

    reinforcement learning

    computer science

    artificial intelligence
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
    Glen Berseth

    reinforcement learning

    psychology

    imitation

    cognitive psychology
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Mem2Mem: Learning to Summarize Long Texts with Memory-to-Memory Transfer
    Jaehong Park

    Jonathan Pilault

    computer science

    cognitive science
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    CLAREL: classification via retrieval loss for zero-shot learning
    Boris N. Oreshkin

    Negar Rostamzadeh

    Pedro O. Pinheiro

    zero shot learning

    computer vision

    computer science

    artificial intelligence
    CVPR 2019
    (2019-09-25)

    openaccess.thecvf.comPDF

    Selfish Emergent Communication
    Michael Noukhovitch

    Travis LaCroix

    computer science

    communication
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    SPECTRA: Sparse Entity-centric Transitions
    Rim Assouel

    spectral line

    physics

    pattern recognition

    artificial intelligence
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion
    Michel Deudon

    Alfredo Kalaitzis

    Rifat Arefin

    Israel Goytom

    Zhichao Lin

    Kris Sankaran

    Vincent Michalski

    Samira E Kahou

    Julien Cornebise

    superresolution

    recursion

    multi frame

    fusion

    computer science

    algorithm
    (venue unknown)
    (2019-09-25)

    openreview.netPDF

    Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci.
    Jonathan M. Mudge

    Irwin Jungreis

    Toby Hunt

    Jose Manuel Gonzalez

    James C. Wright

    Mike Kay

    Claire Davidson

    Stephen Fitzgerald

    Ruth Seal

    Susan Tweedie

    Liang He

    Robert M. Waterhouse

    Elspeth Bruford

    Jyoti S. Choudhary

    Adam Frankish

    Manolis Kellis
    pseudogene

    locus

    human genome

    genome

    genetics

    gene

    gencode

    encode

    computational biology

    coding region

    biology
    Genome Research
    (2019-09-19)

    www.ncbi.nlm.nih.gov

    Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
    Anil Goyal

    Emilie Morvant

    Massih-Reza Amini
    pattern recognition

    multiview learning

    mathematics

    machine learning

    boosting

    artificial intelligence
    Neurocomputing
    (2019-09-17)

    www.sciencedirect.com

    Kotlin∇: A shape-safe DSL for differentiable programming
    Breandan Considine

    Michalis Famelis

    mathematical optimization

    kotlin

    digital subscriber line

    differentiable function

    computer science
    (venue unknown)
    (2019-09-17)

    openreview.netPDF

    Neural Transfer Learning for Cry-Based Diagnosis of Perinatal Asphyxia.
    Charles C. Onu

    Jonathan Lebensold

    transfer of learning

    speech recognition

    perinatal asphyxia

    computer science
    INTERSPEECH 2019
    (2019-09-15)

    dblp.uni-trier.de

    Learning Speaker Representations with Mutual Information.
    Mirco Ravanelli

    speech recognition

    mutual information

    computer science
    INTERSPEECH 2019
    (2019-09-15)

    dblp.uni-trier.dePDF

    Speech Model Pre-training for End-to-End Spoken Language Understanding
    Loren Lugosch

    Mirco Ravanelli

    Patrick Ignoto

    Vikrant Singh Tomar

    spoken language

    speech recognition

    speech model

    end to end principle

    computer science
    INTERSPEECH 2019
    (2019-09-15)

    ui.adsabs.harvard.eduPDF

    Retrieving Signals with Deep Complex Extractors
    Chiheb Trabelsi

    Ousmane Dia

    Ying Zhang

    Mirco Ravanelli

    Jonathan Binas

    Negar Rostamzadeh

    pattern recognition

    computer science

    artificial intelligence
    (venue unknown)
    (2019-09-14)

    openreview.netPDF

    Inferring hierarchies of latent features in calcium imaging data
    Luke Y. Prince

    pattern recognition

    computer science

    calcium imaging

    artificial intelligence
    (venue unknown)
    (2019-09-11)

    openreview.netPDF

    Fairness and discrimination in recommendation and retrieval
    Michael D Ekstrand

    Robin Burke

    social effects

    recommender system

    ranking

    machine learning

    information retrieval

    information access

    computer science

    artificial intelligence
    RECSYS 2019
    (2019-09-10)

    dl.acm.orgPDF

    Geometric wavelet scattering on graphs and manifolds
    Feng Gao

    Matthew Hirn

    Michael Perlmutter

    wavelet

    scattering

    pure mathematics

    manifold

    graph

    computer science
    Wavelets and Sparsity XVIII
    (2019-09-09)

    dx.doi.org

    Learning of Image Dehazing Models for Segmentation Tasks
    Sebastien de Blois

    Ihsen Hedhli

    segmentation

    perception

    image segmentation

    ground truth

    distance measures

    discriminator

    computer vision

    computer science

    artificial intelligence
    EUSIPCO 2019
    (2019-09-01)

    dblp.uni-trier.dePDF

    Toward Requirements Specification for Machine-Learned Components
    Mona Rahimi

    Sahar Kokaly

    Marsha Chechik
    training set

    software requirements specification

    software engineering

    requirements engineering

    position paper

    pedestrian detection

    pedestrian

    life critical system

    current practice

    computer science
    2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)
    (2019-09-01)

    doi.org

    Scattering Networks for Hybrid Representation Learning
    Edouard Oyallon

    Sergey Zagoruyko

    Gabriel Huang

    Nikos Komodakis

    Matthew Blaschko

    Eugene Belilovsky
    wavelet transform

    unsupervised learning

    supervised learning

    scattering

    residual

    pattern recognition

    grayscale

    feature learning

    convolutional neural network

    computer science

    artificial intelligence
    IEEE Transactions on Pattern Analysis and Machine Intelligence
    (2019-09-01)

    europepmc.orgPDF

    Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection
    David Macêdo

    Tsang Ing Ren

    Cleber Zanchettin

    Adriano L. I. Oliveira

    Teresa Ludermir
    turnkey

    softmax function

    scalability

    outlier

    maximization

    mahalanobis distance

    machine learning

    computer science

    bayesian probability

    artificial neural network

    artificial intelligence
    (venue unknown)
    (2019-08-15)

    export.arxiv.orgPDF

    Medical concept embedding with multiple ontological representations
    Lihong Song

    Chin Wang Cheong

    Kejing Yin

    William K. Cheung

    Jonathan Poon
    predictive analytics

    ontology

    medical knowledge

    machine learning

    health care

    feature learning

    embedding

    electronic health record

    deep learning

    data science

    computer science

    artificial intelligence
    IJCAI 2019
    (2019-08-10)

    www.ijcai.org

    A thousand studies for the price of one: Accelerating psychological science with Pushkin.
    Joshua K. Hartshorne

    Joshua R. de Leeuw

    Noah D. Goodman

    Mariela Jennings

    transformative learning

    the internet

    software

    population

    mobile device

    internet access

    econometrics

    data security

    data science

    computer science

    citizen science
    Behavior Research Methods
    (2019-08-01)

    link.springer.comPDF

    Leaking your engine speed by spectrum analysis of real-Time scheduling sequences
    Songran Liu

    Nan Guan

    Dong Ji

    Weichen Liu

    Wang Yi
    tracing

    spectrum analysis

    scheduling

    real time computing

    information leakage

    engine control unit

    computer science
    Journal of Systems Architecture
    (2019-08-01)

    www.sciencedirect.com

    Deep Active Localization
    Sai Krishna Gottipati

    Keehong Seo

    Dhaivat Bhatt

    Vincent Mai

    Krishna Murthy

    robustness

    robotics

    robot control

    robot

    reinforcement learning

    engineering

    deep learning

    convolutional neural network

    control engineering

    artificial intelligence

    action selection
    ICRA 2019
    (2019-08-01)

    ieeexplore.ieee.org

    An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
    Felipe Petroski Such

    Vashisht Madhavan

    Rosanne Liu

    Rui Wang

    Pablo Samuel Castro

    Yulun Li

    Jiale Zhi

    Ludwig Schubert

    Jeff Clune

    Joel Lehman
    reinforcement learning

    machine learning

    computer science

    artificial intelligence
    IJCAI 2019
    (2019-08-01)

    www.ijcai.orgPDF

    Expressiveness of probabilistic modal logics: A gradual approach
    Florence Clerc

    Nathanaël Fijalkow

    Bartek Klin

    theoretical computer science

    probabilistic simulation

    probabilistic logic

    probabilistic bisimulation

    modal

    mathematics

    mathematical proof

    markov process

    expressivity

    discrete mathematics

    bisimulation
    Information & Computation
    (2019-08-01)

    www.sciencedirect.com

    Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
    Cheng Yang

    Maosong Sun

    Ganqu Cui

    Zhiyuan Liu
    machine learning

    computer science

    artificial intelligence
    IJCAI 2019
    (2019-08-01)

    doi.org

    Interpolation Consistency Training for Semi-supervised Learning
    Vikas Verma

    Alex Lamb

    Juho Kannala

    David Lopez-Paz
    semi supervised learning

    machine learning

    interpolation

    computer science

    artificial intelligence
    IJCAI 2019
    (2019-08-01)

    www.ijcai.orgPDF

    Morphological Irregularity Correlates with Frequency
    Shijie Wu

    Ryan Cotterell

    natural language processing

    computer science

    artificial intelligence
    ACL 2019
    (2019-07-28)

    www.acl2019.org

    Towards Lossless Encoding of Sentences
    Gabriele Prato

    Mathieu Duchesneau

    natural language processing

    lossless compression

    encoding

    computer science

    artificial intelligence
    ACL 2019
    (2019-07-28)

    www.acl2019.org

    The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
    Ali Emami

    Paul Trichelair

    Adam Trischler

    Kaheer Suleman

    Hannes Schulz

    natural language processing

    coreference

    computer science

    artificial intelligence
    ACL 2019
    (2019-07-28)

    www.acl2019.orgPDF

    A Cross-Domain Transferable Neural Coherence Model
    Peng Xu

    Hamidreza Saghir

    Jin Sung Kang

    Teng Long

    Avishek Joey Bose

    Yanshuai Cao

    natural language processing

    computer science

    coherence

    artificial intelligence
    ACL 2019
    (2019-07-28)

    www.acl2019.orgPDF

    EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
    Yue Dong

    Zichao Li

    Mehdi Rezagholizadeh

    sentence

    programmer

    natural language processing

    interpreter

    computer science

    artificial intelligence
    ACL 2019
    (2019-07-28)

    www.acl2019.org

    On the impressive performance of randomly weighted encoders in summarization tasks
    Jonathan Pilault

    Jaehong Park

    natural language processing

    encoder

    computer science

    automatic summarization

    artificial intelligence
    ACL 2019
    (2019-07-28)

    www.acl2019.org

    Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study
    Chinnadhurai Sankar

    Sandeep Subramanian

    natural language processing

    empirical research

    dialog box

    conversation

    computer science

    artificial intelligence
    ACL 2019
    (2019-07-28)

    www.acl2019.orgPDF

    Subspace neural physics: fast data-driven interactive simulation
    Daniel Holden

    Bang Chi Duong

    Sayantan Datta

    verlet integration

    subspace topology

    rendering

    precomputation

    memory footprint

    dynamical simulation

    computer engineering

    collision detection

    artificial neural network
    SCA 2019
    (2019-07-26)

    dblp.uni-trier.de

    Hierarchical Gating Networks for Sequential Recommendation
    Chen Ma

    Peng Kang

    still face

    recommender system

    ranking

    machine learning

    gating

    computer science

    business process reengineering

    bayesian probability

    artificial intelligence
    KDD 2019
    (2019-07-25)

    dl.acm.org

    Session details: Session 3A: Recommendations 1
    information retrieval

    computer science
    SIGIR 2019
    (2019-07-18)

    dl.acm.org

    Fairness and Discrimination in Retrieval and Recommendation
    Michael D. Ekstrand

    Robin Burke

    social effects

    ranking

    information retrieval

    computer science
    SIGIR 2019
    (2019-07-18)

    doi.org

    DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
    Zhiqing Sun

    Pan Du

    Zhi-Hong Deng

    Jian-Yun Nie
    word graph

    ranking

    pointer

    natural language processing

    information retrieval

    graph

    document summarization

    decoding methods

    computer science

    benchmark data

    artificial neural network

    artificial intelligence
    SIGIR 2019
    (2019-07-18)

    sigir.orgPDF

    Learning Options with Interest Functions
    Khimya Khetarpal

    theoretical computer science

    state space

    machine learning

    function approximation

    computer science

    artificial intelligence

    architecture

    abstraction
    AAAI 2019
    (2019-07-17)

    www.aaai.org

    Noisy Interactive Quantum Communication
    Gilles Brassard

    Ashwin Nayak

    Dave Touchette

    Falk Unger
    theoretical computer science

    quantum information science

    quantum information

    mathematics

    discrete mathematics

    communication complexity

    channel

    coding theory
    SIAM Journal on Computing
    (2019-07-16)

    doi.org

    Prediction of mRNA subcellular localization using deep recurrent neural networks.
    Zichao Yan

    Eric Lécuyer

    supplementary data

    subcellular localization

    regulation of gene expression

    recurrent neural network

    messenger rna

    deep learning

    data mining

    computer science

    computational biology

    artificial neural network

    artificial intelligence
    Bioinformatics
    (2019-07-15)

    academic.oup.com

    Large-scale mammalian genome rearrangements coincide with chromatin interactions.
    Krister M Swenson

    supplementary data

    mammalian genome

    genome

    gene

    evolutionary biology

    data mining

    computer science

    chromosome conformation capture

    chromosome

    chromatin

    breakpoint
    Bioinformatics
    (2019-07-15)

    academic.oup.com

    Hyperparameter optimization in black-box image processing using differentiable proxies
    Ethan Tseng

    Felix Yu

    Yuting Yang

    Fahim Mannan

    Karl St. Arnaud

    Jean-François Lalonde

    Felix Heide
    software

    object detection

    mathematics

    image processing

    hyperparameter optimization

    hardware in the loop simulation

    deep learning

    convolutional neural network

    computer vision

    computer engineering

    black box

    artificial intelligence
    ACM Transactions on Graphics
    (2019-07-12)

    collaborate.princeton.edu

    Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
    Alexandra Olteanu

    Carlos Castillo

    Emre Kiciman
    user generated content

    sociology

    social media

    social issues

    public relations

    public policy

    health care
    Social Science Research Network
    (2019-07-11)

    www.frontiersin.orgPDF

    B-IoT: Blockchain Driven Internet of Things with Credit-Based Consensus Mechanism
    Junqin Huang

    Linghe Kong

    Guihai Chen

    Long Cheng

    Kaishun Wu

    throughput

    psychological resilience

    internet of things

    directed acyclic graph

    database transaction

    confidentiality

    computer science

    computer network

    blockchain

    access control
    ICDCS 2019
    (2019-07-07)

    ieeexplore.ieee.org

    Scalable Virtual Ray Lights Rendering for Participating Media
    Nicolas Vibert

    Adrien Gruson

    Heine Stokholm

    Troels Mortensen

    Wojciech Jarosz

    Toshiya Hachisuka

    scalability

    rendering

    computer vision

    computer science

    computer graphics images

    artificial intelligence
    Computer Graphics Forum
    (2019-07-01)

    diglib.eg.org

    Smoother: A Smooth Renewable Power-Aware Middleware
    Xinxin Liu

    Yu Hua

    Ling Yang

    Yuanyuan Sun
    source code

    smoothing

    renewable energy

    minimum variance unbiased estimator

    middleware

    intermittency

    execution time

    electricity

    distributed computing

    computer science
    ICDCS 2019
    (2019-07-01)

    dblp.uni-trier.de

    A Cross-National Study of Consumer Behaviour, Innovativeness and Apparel
    Osmud Rahman

    Zhimin Chen

    Devender Devender Kharb
    salient

    emerging markets

    cross national

    country of origin

    consumer innovativeness

    consumer behaviour

    clothing

    china

    business

    advertising
    (venue unknown)
    (2019-06-22)

    e-space.mmu.ac.uk

    Auto-Encoders, Distributed Training and Information Representation in Deep Neural Networks
    non convex optimization

    information representation

    feature learning

    deep neural networks

    deep learning

    computer science

    auto encoders

    artificial neural network

    artificial intelligence
    (venue unknown)
    (2019-06-19)

    papyrus.bib.umontreal.ca

    Applications of complex numbers to deep neural networks
    deep neural networks

    deep learning

    computer science

    complex number

    artificial neural network

    artificial intelligence
    (venue unknown)
    (2019-06-19)

    papyrus.bib.umontreal.ca

    Volume Path Guiding Based on Zero-Variance Random Walk Theory
    Sebastian Herholz

    Yangyang Zhao

    Oskar Elek

    Hendrik P. A. Lensch

    Jaroslav Křivánek
    scattering

    sampling

    roulette

    random walk

    radiance

    monte carlo method

    mathematics

    mathematical optimization

    importance sampling

    distance sampling
    ACM Transactions on Graphics
    (2019-06-15)

    dl.acm.org

    Stochastic Gradient Push for Distributed Deep Learning
    Mahmoud Assran

    Nicolas Loizou

    Nicolas Ballas

    machine learning

    deep learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Amortized Monte Carlo Integration
    Adam Golinski

    Tom Rainforth
    monte carlo integration

    machine learning

    computer science

    computational science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
    Edward Smith

    Adriana Romero

    Scott Fujimoto

    pattern recognition

    graph

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Off-Policy Deep Reinforcement Learning without Exploration
    Scott Fujimoto

    Doina Precup
    reinforcement learning

    machine learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Fairwashing: the risk of rationalization
    Ulrich Aivodji

    Hiromi Arai

    Olivier Fortineau

    Sébastien Gambs

    Satoshi Hara

    rationalization

    machine learning

    knowledge management

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    The Value Function Polytope in Reinforcement Learning
    Robert Dadashi

    Adrien Ali Taiga

    Nicolas Le Roux

    Dale Schuurmans
    reinforcement learning

    polytope

    machine learning

    computer science

    bellman equation

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Statistics and Samples in Distributional Reinforcement Learning
    Mark Rowland

    Robert Dadashi

    Saurabh Kumar

    Remi Munos

    Will Dabney
    reinforcement learning

    machine learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    DeepMDP: Learning Continuous Latent Space Models with Theoretical Guarantees
    Carles Gelada

    Saurabh Kumar

    Jacob Buckman

    Ofir Nachum

    machine learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    icml.cc

    On Learning Invariant Representation for Domain Adaptation
    Han Zhao

    Remi Tachet des Combes

    Kun Zhang

    speech recognition

    pattern recognition

    invariant

    domain adaptation

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Compositional Invariance Constraints for Graph Embeddings
    Avishek Bose

    theoretical computer science

    pattern recognition

    invariant

    graph

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    icml.cc

    Per-Decision Option Discounting
    Anna Harutyunyan

    Peter Vrancx

    Philippe Hamel

    Ann Nowe

    machine learning

    discounting

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Separable value functions across time-scales
    Joshua Romoff

    Peter Henderson

    Ahmed Touati

    Yann Ollivier

    Emma Brunskill
    separable space

    pattern recognition

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    TarMAC: Targeted Multi-Agent Communication
    Abhishek Das

    Theophile Gervet

    Joshua Romoff

    Dhruv Batra

    Devi Parikh

    tarmac

    machine learning

    human computer interaction

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Multi-objective training of Generative Adversarial Networks with multiple discriminators
    Isabela Albuquerque

    Joao Monteiro

    Thang Doan

    Breandan Considine

    Tiago Falk

    machine learning

    generative grammar

    computer science

    artificial intelligence

    adversarial system
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Unreproducible research is reproducible
    Xavier Bouthillier

    César Laurent

    machine learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Hierarchical Importance Weighted Autoencoders
    Chin-Wei Huang

    Kris Sankaran

    Eeshan Dhekane

    Alexandre Lacoste

    pattern recognition

    machine learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
    Alex Lamb

    Jonathan Binas

    Anirudh Goyal

    Sandeep Subramanian

    Michael Mozer
    reification

    machine learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    GMNN: Graph Markov Neural Networks
    markov chain

    machine learning

    graph

    computer science

    artificial neural network

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Manifold Mixup: Better Representations by Interpolating Hidden States
    Vikas Verma

    Alex Lamb

    Christopher Beckham

    Amir Najafi

    David Lopez-Paz

    pattern recognition

    manifold

    interpolation

    computer science

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    On the Spectral Bias of Neural Networks
    Nasim Rahaman

    Aristide Baratin

    Devansh Arpit

    Felix Draxler

    Min Lin

    Fred Hamprecht

    pattern recognition

    computer science

    artificial neural network

    artificial intelligence
    ICML 2019
    (2019-06-09)

    proceedings.mlr.pressPDF

    Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems
    Pierre Coste

    Gilles Pesant
    travelling salesman problem

    mathematical optimization

    filter

    constraint programming

    computer science
    CPAIOR 2019
    (2019-06-04)

    doi.org

    Learning MILP Resolution Outcomes Before Reaching Time-Limit
    Martina Fischetti

    Giulia Zarpellon
    time limit

    statistical pattern

    mathematical optimization

    linear programming

    exploit

    computer science

    computation

    branch and bound
    CPAIOR 2019
    (2019-06-04)

    doi.org

    Understanding the Behaviour of Neural Abstractive Summarizers Using Contrastive Examples
    Krtin Kumar

    natural language processing

    computer science

    artificial intelligence
    NAACL 2019
    (2019-06-02)

    naacl2019.org

    Introducing Graph Smoothness Loss for Training Deep Learning Architectures
    Myriam Bontonou

    Carlos Lassance

    Ghouthi Boukli Hacene

    Vincent Gripon

    smoothness

    robustness

    graph

    deep learning

    computer science

    artificial intelligence

    architecture

    algorithm
    2019 IEEE Data Science Workshop (DSW)
    (2019-06-02)

    hal.archives-ouvertes.frPDF

    Improved Bounds for Max Consensus in Wireless Networks
    Aida Nowzari

    wireless network

    upper and lower bounds

    random geometric graph

    mathematics

    lattice graph

    discrete mathematics

    convergence

    consensus

    binary logarithm

    approximation algorithm
    SIPN 2019
    (2019-06-01)

    ieeexplore.ieee.org

    A Frequency Analysis and Dual Hierarchy for Efficient Rendering of Subsurface Scattering
    David Milaenen

    Laurent Belcour

    Jean-Philippe Guertin

    Toshiya Hachisuka

    traverse

    subsurface scattering

    sparse image

    rendering

    ray tracing

    radiance

    pixel

    frequency analysis

    computer vision

    computer science

    artificial intelligence
    GI 2019
    (2019-06-01)

    dl.acm.org

    GreenBroker: Optimal Electric Vehicle Park-and-Charge Control via Vehicle-to-Infrastructure Communication
    Qiao Xiang

    Linghe Kong

    Xi Chen

    Zhe Wang

    Lei Rao

    stochastic optimization

    smart grid

    revenue

    market share

    management system

    electricity

    electric vehicle

    computer science

    charge control

    automotive engineering
    BLACKSEACOM 2019
    (2019-06-01)

    dblp.uni-trier.de

    Tulip: An open-source interior-point linear optimization solver with abstract linear algebra
    Miguel F. Anjos

    Mathieu Tanneau
    solver

    open source

    mathematics

    linear programming

    linear algebra

    interior point method

    applied mathematics
    Les Cahiers du GERAD
    (2019-06-01)

    www.gerad.ca

    QPLIB: a library of quadratic programming instances
    Fabio Furini

    Emiliano Traversi

    Pietro Belotti

    Antonio Frangioni

    Ambros M. Gleixner

    Nick Gould

    Leo Liberti

    Ruth Misener

    Hans D. Mittelmann

    Nikolaos V. Sahinidis

    Stefan Vigerske

    Angelika Wiegele
    undecidable problem

    theory of computation

    ranging

    quadratic programming

    quadratic equation

    optimization problem

    mathematics

    mathematical optimization

    binary quadratic programming

    algebra
    Mathematical Programming Computation
    (2019-06-01)

    mpc.zib.dePDF

    An empirical study on aggregation of alternatives and its influence on prediction in car type choice models
    Shiva Habibi

    Marcus Sundberg
    statistics

    registry data

    policy analysis

    parameterized complexity

    operations management

    nested logit

    empirical research

    economics

    econometrics

    discrete choice

    data aggregator

    cross validation
    Transportation
    (2019-06-01)

    link.springer.comPDF

    Adverse Event Prediction by Telemonitoring and Deep Learning
    Antoine Prouvost

    Louis-Martin Rousseau

    Jonathan Vallee
    risk threshold

    risk assessment

    recurrent neural network

    ranking

    medical emergency

    home health

    health care

    deep learning

    computer science

    artificial intelligence

    adverse effect
    International Conference on Human-Centred Software Engineering
    (2019-05-30)

    www.scilit.net

    Investigating Trust Factors in Human-Robot Shared Control: Implicit Gender Bias Around Robot Voice
    Alex Wong

    Anqi Xu

    task analysis

    robot control

    robot

    introspection

    human robot interaction

    human computer interaction

    empirical research

    controller

    computer vision

    computer science

    audio feedback

    artificial intelligence
    CRV 2019
    (2019-05-29)

    doi.org

    Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.
    Dayiheng Liu

    Jie Fu

    Yidan Zhang

    Jiancheng Lv
    programming language

    computer science
    (venue unknown)
    (2019-05-29)

    dblp.uni-trier.de

    Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning
    Junqiang Liu

    Xinyi Ju

    Xingxing Zhang

    Xiangcai Yang

    Changhong Yu
    task analysis

    scalable algorithms

    scalability

    pruning

    distributed computing

    data structure

    data mining

    computer science
    IEEE Access
    (2019-05-28)

    doi.org

    Activity-based analysis of open source software contributors: roles and dynamics
    Jinghui Cheng

    user interface

    through the lens metering

    systems engineering

    open source software

    data science

    computer science
    ICSE 2019
    (2019-05-27)

    ui.adsabs.harvard.eduPDF

    Singular value automata and approximate minimization
    spectral theory

    singular value decomposition

    singular value

    singular solution

    pure mathematics

    minification

    matrix

    mathematics

    hankel matrix

    discrete mathematics

    canonical form
    Mathematical Structures in Computer Science
    (2019-05-27)

    ui.adsabs.harvard.eduPDF

    Bit-Slicing FPGA Accelerator for Quantized Neural Networks

    Sean Wagner

    Yvon Savaria

    Jean-Pierre David
    system on a chip

    stratix

    quantized neural networks

    field programmable gate array

    exploit

    electronic engineering

    data set

    computer science

    computer hardware

    bit slicing

    artificial neural network
    ISCAS 2019
    (2019-05-26)

    doi.org

    Analysis and detection of information types of open source software issue discussions
    Deeksha Arya

    Wenting Wang

    Jinghui Cheng
    tracking system

    thread

    systems engineering

    software

    sentence

    relevant information

    random forest

    qualitative content analysis

    open source software

    data science

    computer science
    ICSE 2019
    (2019-05-25)

    dblp.uni-trier.de

    Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields.
    Nagesh K. Subbanna

    Deepthi Rajashekar

    Bastian Cheng

    Götz Thomalla

    Jens Fiehler

    Nils D. Forkert
    sorensen dice coefficient

    segmentation

    preprocessor

    pattern recognition

    neuroscience

    medicine

    markov random field

    markov chain

    magnetic resonance imaging

    image segmentation

    convolutional neural network

    artificial intelligence
    Frontiers in Neurology
    (2019-05-24)

    www.frontiersin.org

    DeepMDP: Learning Continuous Latent Space Models for Representation Learning
    Carles Gelada

    Saurabh Kumar

    Jacob Buckman

    Ofir Nachum

    machine learning

    feature learning

    computer science

    artificial intelligence
    ICML 2019
    (2019-05-24)

    proceedings.mlr.pressPDF

    Compositional Fairness Constraints for Graph Embeddings
    Avishek Joey Bose

    theoretical computer science

    machine learning

    graph

    computer science

    artificial intelligence
    ICML 2019
    (2019-05-24)

    proceedings.mlr.pressPDF

    Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
    Adrian Tousignant

    Paul Lemaître

    Douglas L. Arnold

    oncology

    multiple sclerosis

    medicine

    internal medicine

    disease progression

    deep learning

    artificial intelligence
    International Conference on Medical Imaging with Deep Learning
    (2019-05-24)

    proceedings.mlr.pressPDF

    Fast non-uniform radiance probe placement and tracing
    Yue Wang

    Soufiane Khiat

    Paul G. Kry

    visibility

    undersampling

    tracing

    sparse voxel octree

    ray tracing

    light field

    gradient descent

    global illumination

    computer vision

    computer science

    artificial intelligence
    I3D 2019
    (2019-05-21)

    doi.org

    Asm2Vec: Boosting Static Representation Robustness for Binary Clone Search against Code Obfuscation and Compiler Optimization
    Steven H. H. Ding

    Philippe Charland
    theoretical computer science

    reverse engineering

    optimizing compiler

    obfuscation

    obfuscation

    feature vector

    feature learning

    feature engineering

    computer security

    computer science

    assembly language
    S&P 2019
    (2019-05-20)

    www.computer.org

    In Support of Over-Parametrization in Deep Reinforcement Learning: an Empirical Study
    Brady Neal

    reinforcement learning

    parametrization

    empirical research

    computer science

    artificial intelligence
    (venue unknown)
    (2019-05-17)

    openreview.net

    GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
    Zhaocheng Zhu

    Shizhen Xu

    Meng Qu
    synchronization

    scalability

    parallel computing

    hybrid system

    graphics processing unit

    graph theory

    embedding

    data transmission

    data mining

    computer science

    central processing unit
    WWW 2019
    (2019-05-13)

    hgpu.orgPDF

    Provably Accelerated Randomized Gossip Algorithms
    Nicolas Loizou

    Peter Richtarik
    wireless sensor network

    theoretical computer science

    private information retrieval

    mathematical optimization

    linear system

    kaczmarz method

    gossip protocol

    gossip algorithms

    gossip

    computer science

    average consensus
    ICASSP 2019
    (2019-05-12)

    ieeexplore.ieee.orgPDF

    How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages
    Jessica A.F. Thompson

    Marc Schonwiesner

    Daniel Willett
    transferability

    transfer of learning

    top down and bottom up design

    speech recognition

    pattern recognition

    more language

    interpretability

    german

    convolutional neural network

    computer science

    artificial intelligence
    ICASSP 2019
    (2019-05-12)

    ieeexplore.ieee.org

    Representation Mixing for TTS Synthesis
    Kyle Kastner

    Joao Felipe Santos

    speech recognition

    spectrogram

    rule based machine translation

    pronunciation

    pattern recognition

    parametric statistics

    inference

    encoder

    deep learning

    decoding methods

    computer science

    artificial intelligence
    ICASSP 2019
    (2019-05-12)

    doi.orgPDF

    The Pytorch-kaldi Speech Recognition Toolkit
    Mirco Ravanelli

    Titouan Parcollet

    speech recognition

    software

    python language

    exploit

    documentation

    deep learning

    computer science

    artificial neural network

    artificial intelligence
    ICASSP 2019
    (2019-05-12)

    hal.archives-ouvertes.frPDF

    Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
    Alaaeldin El-Nouby

    Shikhar Sharma

    Hannes Schulz

    Layla El Asri

    Samira Ebrahimi Kahou

    Graham Taylor
    visualization

    task analysis

    single image

    linguistics

    image generation

    computer science
    ICCV 2019
    (2019-05-09)

    openaccess.thecvf.comPDF

    Deep Generative and Discriminative Domain Adaptation
    Han Zhao

    Junjie Hu

    Zhenyao Zhu

    Adam Coates

    upper and lower bounds

    machine learning

    generative grammar

    domain adaptation

    discriminative model

    deep learning

    computer science

    autoencoder

    artificial neural network

    artificial intelligence

    adversarial machine learning
    AAMAS 2019
    (2019-05-08)

    dl.acm.org

    Building Knowledge for AI Agents with Reinforcement Learning
    reinforcement learning

    procedural knowledge

    machine learning

    knowledge representation and reasoning

    human computer interaction

    continual learning

    computer science

    autonomous agent

    artificial intelligence
    AAMAS 2019
    (2019-05-08)

    dblp.uni-trier.de

    On the Pitfalls of Measuring Emergent Communication
    Ryan Lowe

    Jakob Foerster

    Y-Lan Boureau

    Yann Dauphin
    reinforcement learning

    phenomenon

    matrix games

    machine learning

    human computer interaction

    fault detection and isolation

    deep learning

    computer science

    channel

    artificial intelligence
    AAMAS 2019
    (2019-05-08)

    dblp.uni-trier.de

    Learning Graphs From Data: A Signal Representation Perspective
    Xiaowen Dong

    Dorina Thanou

    Pascal Frossard
    visualization

    viewpoints

    topological graph theory

    theoretical computer science

    signal processing

    graphical model

    data set

    data modeling

    data model

    computer science
    IEEE Signal Processing Magazine
    (2019-05-06)

    ui.adsabs.harvard.eduPDF

    Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer
    Hsueh-Ti Derek Liu

    Michael Tao

    Chun-Liang Li

    Alec Jacobson
    rendering

    pixel

    pattern recognition

    parametric statistics

    differentiable function

    computer science

    ball

    artificial intelligence

    algorithm
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Representation Learning on Graphs and Manifolds

    Frederic Sala

    Peter Battaglia

    Joan Bruna

    Thomas Kipf

    Yujia Li

    Razvan Pascanu

    Adriana Romero

    Petar Veličković

    Marinka Zitnik

    Maximilian Nickel

    Beliz Gunel

    Albert Gu

    Christopher Re
    theoretical computer science

    manifold

    machine learning

    graph

    feature learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.cc

    Task-Agnostic Reinforcement Learning (TARL)
    Danijar Hafner

    Deepak Pathak

    Frederik Ebert

    Raia Hadsell

    Rowan McAllister

    Amy Zhang

    Ahmed Touati

    Roberto Calandra
    reinforcement learning

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.cc

    RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
    Zhiqing Sun

    Zhi-Hong Deng

    Jian-Yun Nie

    theoretical computer science

    rotation

    pattern recognition

    knowledge graph

    embedding

    computer science

    complex space

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    A Variational Inequality Perspective on Generative Adversarial Networks
    Gauthier Gidel

    Hugo Berard

    Gaëtan Vignoud

    variational inequality

    machine learning

    generative grammar

    computer science

    artificial intelligence

    adversarial system
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Brief Report: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
    Yikeng Shen

    Shawn Tan

    Alessandro Sordoni

    tree structure

    recurrent neural network

    computer science

    artificial intelligence
    (venue unknown)
    (2019-05-06)

    www.microsoft.com

    Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
    Yikang Shen

    Shawn Tan

    Alessandro Sordoni

    tree structure

    recurrent neural network

    pattern recognition

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Systematic Generalization: What Is Required and Can It Be Learned?
    Dzmitry Bahdanau

    Shikhar Murty

    Mikhail Noukhovitch

    Thien H Nguyen

    Harm de Vries

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Reproducibility in Machine Learning
    Nan Rosemary Ke

    Alex Lamb

    Anirudh Goyal Alias Parth Goyal

    reproducibility

    pattern recognition

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.cc

    h-detach: Modifying the LSTM Gradient Towards Better Optimization
    Bhargav Kanuparthi

    Devansh Arpit

    Giancarlo Kerg

    Nan Rosemary Ke

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Modeling the Long Term Future in Model-Based Reinforcement Learning
    Nan Rosemary Ke

    Amanpreet Singh

    Ahmed Touati

    Anirudh Goyal Alias Parth Goyal

    Devi Parikh

    Dhruv Batra
    reinforcement learning

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Quaternion Recurrent Neural Networks
    Titouan Parcollet

    Mirco Ravanellu

    Mohamed Morchid

    Georges Linarès

    Chiheb Trabelsi

    Renato De Mori

    recurrent neural network

    quaternion

    pattern recognition

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Probabilistic Planning with Sequential Monte Carlo methods
    Alexandre Piche

    Valentin Thomas

    Cyril Ibrahim

    sequential monte carlo methods

    probabilistic logic

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    AI for Social Good
    Margaux Luck

    Joseph Paul Cohen

    Myriam Cote

    Kris Sankaran

    Sean McGregor

    Virgile Sylvain

    Jonnie Penn

    Tristan Sylvain

    Geneviève Boucher

    Rayid Ghani

    Kentaro Toyama
    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.cc

    InfoBot: Transfer and Exploration via the Information Bottleneck
    Anirudh Goyal Alias Parth Goyal

    Riashat Islam

    DJ Strouse

    Zafarali Ahmed

    Matthew Botvinick

    Sergey Levine

    machine learning

    information bottleneck method

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Recall Traces: Backtracking Models for Efficient Reinforcement Learning
    Anirudh Goyal Alias Parth Goyal

    Philemon Brakel

    William Fedus

    Soumye Singhal

    Timothy Lillicrap

    Sergey Levine

    reinforcement learning

    recall

    machine learning

    computer science

    backtracking

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
    Ali Farshchian

    Juan Álvaro Gallego

    Joseph Paul Cohen

    Lee E Miller

    Sara A Solla
    machine learning

    domain adaptation

    computer science

    artificial intelligence

    adversarial system
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
    Maxime Chevalier-Boisvert

    Dzmitry Bahdanau

    Salem Lahlou

    Lucas Willems

    Chitwan Saharia

    Thien H Nguyen

    machine learning

    language acquisition

    human computer interaction

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
    Stanislaw Jastrzebski

    Zachary Kenton

    Nicolas Ballas

    Asja Fischer

    Amos Storkey
    stride length

    pattern recognition

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    An Empirical Study of Example Forgetting during Deep Neural Network Learning
    Mariya Toneva

    Alessandro Sordoni

    Remi Combes

    Adam Trischler

    neural network learning

    machine learning

    forgetting

    empirical research

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Deep Graph Infomax
    Petar Veličković

    William Fedus

    Pietro Liò

    pattern recognition

    infomax

    graph

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    Learning deep representations by mutual information estimation and maximization

    Alex Fedorov

    Samuel Lavoie-Marchildon

    Karan Grewal

    Philip Bachman

    Adam Trischler

    mutual information

    maximization

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-05-06)

    iclr.ccPDF

    On overfitting and asymptotic bias in batch reinforcement learning with partial observability
    Vincent Francois-Lavet

    Damien Ernst

    Raphael Fonteneau
    reinforcement learning

    partially observable markov decision process

    overfitting

    observability

    mathematics

    machine learning

    artificial intelligence
    Journal of Artificial Intelligence Research
    (2019-05-05)

    doi.orgPDF

    Usability of Virtual Reality Application Through the Lens of the User Community: A Case Study
    Wenting Wang

    Jinghui Cheng

    virtual reality

    user feedback

    usability

    through the lens metering

    open source

    multimedia

    human computer interaction

    heuristics

    heuristic evaluation

    computer science
    CHI 2019
    (2019-05-02)

    dblp.uni-trier.dePDF

    A Survey on Gradient-Domain Rendering
    Binh-Son Hua

    Adrien Gruson

    Victor Petitjean

    Matthias Zwicker

    Elmar Eisemann

    Toshiya Hachisuka
    rendering

    ray tracing

    path tracing

    open problem

    monte carlo method

    iterative reconstruction

    convergence

    computer vision

    computer science

    artificial intelligence

    animation

    algorithm
    Computer Graphics Forum
    (2019-05-01)

    diglib.eg.org

    Underwater Communication Using Full-Body Gestures and Optimal Variable-Length Prefix Codes
    Karim Koreitem

    Jimmy Li

    Ian Karp

    Travis Manderson

    underwater acoustic communication

    robustness

    robot

    real time computing

    observability

    gesture

    engineering

    encoding

    decoding methods

    control engineering

    communications protocol
    ICRA 2019
    (2019-05-01)

    dblp.uni-trier.de

    Semantic Mapping for View-Invariant Relocalization
    visualization

    viewing angle

    simultaneous localization and mapping

    semantics

    semantic mapping

    scale invariant feature transform

    minimum bounding box

    invariant

    engineering

    control theory

    computer vision

    artificial intelligence
    ICRA 2019
    (2019-05-01)

    dblp.uni-trier.de

    Generating Adversarial Driving Scenarios in High-Fidelity Simulators
    Yasasa Abeysirigoonawardena

    Florian Shkurti

    trajectory

    suite

    software

    safer

    reinforcement learning

    industrial engineering

    high fidelity

    engineering

    control engineering

    collision

    bayesian optimization
    ICRA 2019
    (2019-05-01)

    dblp.uni-trier.de

    Prediction of Progression to Alzheimer's disease with Deep InfoMax
    Alex Fedorov

    Anees Abrol

    Zening Fu

    Yuhui Du

    Sergey Plis

    Vince D. Calhoun
    unsupervised learning

    neuroscience

    neuroimaging

    infomax

    high potential

    disease

    convolutional neural network

    computer science

    cognitive impairment

    alzheimer s disease
    ICBHI 2019
    (2019-05-01)

    dblp.uni-trier.de

    Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks
    Sanjay Thakur

    Herke van Hoof

    Juan Camilo Gamboa Higuera

    task analysis

    robot

    offset

    measurement uncertainty

    machine learning

    engineering

    controller

    control engineering

    bayesian neural networks

    artificial neural network

    artificial intelligence
    ICRA 2019
    (2019-05-01)

    ui.adsabs.harvard.eduPDF

    A Highly Adaptive Acoustic Model for Accurate Multi-dialect Speech Recognition
    Sanghyun Yoo

    Inchul Song

    training methods

    speech recognition

    pattern recognition

    difficult problem

    deep learning

    computer science

    artificial intelligence

    acoustic model
    ICASSP 2019
    (2019-05-01)

    dblp.uni-trier.de

    A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies
    Homanga Bharadhwaj

    Zihan Wang

    trajectory

    task analysis

    robot

    real time computing

    planner

    fine tuning

    engineering

    encoder

    data modeling

    control engineering
    ICRA 2019
    (2019-05-01)

    dblp.uni-trier.de

    Moving beyond reward prediction errors
    reinforcement learning

    computer science

    artificial intelligence
    Nature Machine Intelligence
    (2019-04-29)

    www.nature.com

    Faster and More Accurate Trace-based Policy Evaluation via Overall Target Error Meta-Optimization
    Mingde Zhao

    Ian Porada

    Sitao Luan

    Xiaowen Chang

    meta optimization

    data mining

    computer science
    (venue unknown)
    (2019-04-25)

    arxiv.org

    A deep neural network approach to investigate tone space in languages
    Bing'er Jiang

    Meghan Clayards
    speech recognition

    speech corpus

    pitch contour

    physics

    multiple time dimensions

    mandarin chinese

    contrast

    bottleneck

    artificial neural network

    acoustics
    Journal of the Acoustical Society of America
    (2019-04-23)

    dx.doi.org

    Human Motion Prediction Via Pattern Completion in Latent Representation Space
    Yi Tian Xu

    Yaqiao Li

    task analysis

    personalization

    pattern recognition

    pattern completion

    inference

    encoding

    decoding methods

    correlation

    computer science

    autoencoder

    artificial intelligence
    CRV 2019
    (2019-04-18)

    dblp.uni-trier.de

    Solving Quadratic Programming by Cutting Planes
    Pierre Bonami

    Jonas Schweiger

    Andrea Tramontani
    quadratic programming

    quadratic equation

    mathematics

    mathematical optimization

    global optimization

    applied mathematics
    Siam Journal on Optimization
    (2019-04-16)

    epubs.siam.org

    GradMask: Reduce Overfitting by Regularizing Saliency.
    Becks Simpson

    Francis Dutil

    Joseph Paul Cohen
    salience

    pattern recognition

    overfitting

    computer science

    artificial intelligence
    International Conference on Medical Imaging with Deep Learning — Extended Abstract Track
    (2019-04-16)

    dblp.uni-trier.dePDF

    LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models
    Yuan Zhou

    Bradley J. Gram-Hansen

    Tobias Kohn

    Tom Rainforth

    Hongseok Yang

    probability density function

    probabilistic programming language

    probabilistic logic

    mathematical optimization

    inference engine

    inference

    hybrid monte carlo

    differentiable function

    computer science

    classification of discontinuities
    AISTATS 2019
    (2019-04-11)

    proceedings.mlr.pressPDF

    Distributional reinforcement learning with linear function approximation

    Nicolas Le Roux

    Pablo Samuel Castro

    Subhodeep Moitra
    softmax function

    reinforcement learning

    probabilistic logic

    normalization

    mathematical optimization

    linear function

    function approximation

    convergence

    computer science

    bellman equation
    AISTATS 2019
    (2019-04-11)

    proceedings.mlr.pressPDF

    The Termination Critic
    Anna Harutyunyan

    Will Dabney

    Diana Borsa

    Nicolas Heess

    Remi Munos

    reinforcement learning

    machine learning

    leverage

    encoding

    control objective

    computer science

    as is

    artificial intelligence

    abstraction
    AISTATS 2019
    (2019-04-11)

    proceedings.mlr.pressPDF

    Multitask Metric Learning: Theory and Algorithm
    Boyu Wang

    Hejia Zhang

    Peng Liu

    Zebang Shen

    stability

    rate of convergence

    operator

    model complexity

    learning theory

    feature dimension

    computer science

    boosting

    benchmark data

    algorithm
    AISTATS 2019
    (2019-04-11)

    proceedings.mlr.pressPDF

    Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning

    Tianyu Li

    Doina Precup
    tensor

    recurrent neural network

    machine learning

    computer science

    automaton

    artificial intelligence

    algorithm
    AISTATS 2019
    (2019-04-11)

    proceedings.mlr.pressPDF

    Negative Momentum for Improved Game Dynamics
    Gauthier Gidel

    Reyhane Askari Hemmat

    Mohammad Pezeshki

    Gabriel Huang

    Rémi Le Priol

    momentum

    mathematical optimization

    generative grammar

    game dynamics

    differentiable function

    convergence

    computer science

    adversarial system
    AISTATS 2019
    (2019-04-11)

    proceedings.mlr.pressPDF

    Active Domain Randomization.
    Bhairav Mehta

    Manfred Diaz

    Florian Golemo

    randomization

    computer science

    algorithm

    active domain
    CoRL
    (2019-04-09)

    proceedings.mlr.pressPDF

    Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks.
    Santiago Pascual

    Mirco Ravanelli

    Joan Serrà

    Antonio Bonafonte

    speech recognition

    learning problem

    computer science
    INTERSPEECH 2019
    (2019-04-06)

    dblp.uni-trier.de

    Distributed Data Center Bandwidth Allocation for Cloud-Based Streaming
    Fanxin Kong

    Xingjian Lu

    robustness

    real time computing

    distributed algorithm

    data center

    computer science

    cloud computing

    channel allocation schemes

    bandwidth allocation

    bandwidth

    algorithm design
    IEEE Transactions on Sustainable Computing
    (2019-04-01)

    doi.org

    Rapid Genetic Code Evolution in Green Algal Mitochondrial Genomes
    Emmanuel Noutahi

    Virginie Calderon

    Nadia El-Mabrouk

    Bernd Franz Lang
    viridiplantae

    transfer rna

    stop codon

    sphaeropleales

    phylogenetics

    genome

    genetics

    genetic code

    dna sequencing

    biology
    Molecular Biology and Evolution
    (2019-04-01)

    academic.oup.com

    A RAD approach to deep mixture models
    Laurent Dinh

    Jascha Sohl-Dickstein

    Razvan Pascanu

    pattern recognition

    mixture model

    machine learning

    computer science

    artificial intelligence
    ICLR 2019
    (2019-03-27)

    dblp.uni-trier.de

    Dataflow-Based Joint Quantization for Deep Neural Networks
    Xue Geng

    Jie Fu

    Bin Zhao

    Jie Lin

    Mohamed Aly

    Vijay Chandrasekhar
    theoretical computer science

    rounding

    quantization

    quantization

    network architecture

    energy consumption

    deep learning

    dataflow

    computer science

    computer engineering

    artificial neural network

    artificial intelligence
    DCC 2019
    (2019-03-26)

    doi.org

    Reconfigurable Battery Systems: A Survey on Hardware Architecture and Research Challenges
    Shaheer Muhammad

    M. Usman Rafique

    Shuai Li

    Zili Shao

    Qixin Wang

    state of health

    state of charge

    software

    smart battery

    scheduling

    real time computing

    hardware architecture

    computer science

    computer architecture

    battery pack

    battery
    ACM Transactions on Design Automation of Electronic Systems
    (2019-03-21)

    doi.org

    Online continual learning with no task boundaries.
    Rahaf Aljundi

    Min Lin

    Baptiste Goujaud

    online setting

    machine learning

    forgetting

    feasible region

    data stream

    continual learning

    computer science

    artificial neural network

    artificial intelligence
    (venue unknown)
    (2019-03-20)

    dblp.uni-trier.dePDF

    Learning proposals for sequential importance samplers using reinforced variational inference.
    Zafarali Ahmed

    Arjun Karuvally

    Simon Gravel
    machine learning

    inference

    computer science

    artificial intelligence
    ICLR 2019
    (2019-03-16)

    dblp.uni-trier.dePDF

    Gated Orthogonal Recurrent Units: On Learning to Forget.
    Li Jing

    Caglar Gulcehre

    John Peurifoy

    Yichen Shen

    Max Tegmark

    Marin Soljacic

    unitary evolution

    recurrent neural network

    mathematics

    machine learning

    artificial intelligence
    Neural Computation
    (2019-03-15)

    doi.org

    Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases
    Eugene Vorontsov

    Milena Cerny

    Philippe Régnier

    Lisa Di Jorio

    Réal Lapointe

    Franck Vandenbroucke-Menu

    Simon Turcotte

    Samuel Kadoury

    An Tang
    segmentation

    radiology

    medicine

    in patient

    deep learning

    colorectal cancer

    automated segmentation

    artificial intelligence
    Radiology: Artificial Intelligence
    (2019-03-13)

    pubs.rsna.org

    Adversarial Mixup Resynthesizers
    Christopher Beckham

    Sina Honari

    Alex Lamb

    Vikas Verma

    Farnoosh Ghadiri

    machine learning

    computer science

    artificial intelligence

    adversarial system
    ICLR 2019
    (2019-03-07)

    dblp.uni-trier.dePDF

    Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism
    Junqin Huang

    Linghe Kong

    Guihai Chen

    Min-You Wu

    Peng Zeng
    throughput

    single point of failure

    scalability

    real time computing

    psychological resilience

    directed acyclic graph

    database transaction

    confidentiality

    computer security

    computer science

    access control
    IEEE Transactions on Industrial Informatics
    (2019-03-06)

    doi.org

    Ten years of feasibility pump, and counting
    Timo Berthold

    Domenico Salvagnin
    integer programming

    heuristic

    computer science

    arithmetic
    EURO Journal on Computational Optimization
    (2019-03-01)

    link.springer.com

    Improving NILM by Combining Sensor Data and Linear Programming

    Baptiste Vrigneau

    Olivier Sentieys
    wireless sensor network

    usability

    solver

    real time computing

    power load

    meter

    linear programming

    energy consumption

    electricity meter

    computer science
    SAS 2019
    (2019-03-01)

    dblp.uni-trier.de

    2C-ChIP: measuring chromatin immunoprecipitation signal from defined genomic regions with deep sequencing
    Xue Qing David Wang

    Christopher J. F. Cameron

    Denis Paquette

    Dana Segal

    Reid Warsaba

    Josée Dostie
    transcription

    proteomics

    genetics

    gene expression

    epigenetics

    deep sequencing

    dna sequencing

    dna microarray

    chromatin immunoprecipitation

    biology
    BMC Genomics
    (2019-02-28)

    bmcgenomics.biomedcentral.com

    When AIs Outperform Doctors: Confronting the Challenges of a Tort-Induced Over-Reliance on Machine Learning
    A. Michael Froomkin

    Ian R. Kerr

    tort

    medical malpractice

    medical diagnosis

    malpractice

    machine learning

    liability

    health policy

    health law

    delegate

    computer science

    artificial intelligence
    Ariz. L. Rev.
    (2019-02-20)

    repository.law.miami.eduPDF

    Adaptive Sampling for Sound Propagation
    Chakravarty R. Alla Chaitanya

    John M. Snyder

    Keith Godin

    Nikunj Raghuvanshi
    visibility

    undersampling

    tracing

    rendering

    interpolation

    geodesic

    computer vision

    computer simulation

    computer science

    artificial intelligence

    adaptive sampling
    IEEE Transactions on Visualization and Computer Graphics
    (2019-02-14)

    www.microsoft.comPDF

    Searchable Storage in Cloud Computing

    Yu Hua
    database

    computer science

    cloud computing
    (venue unknown)
    (2019-02-08)

    www.amazon.com

    Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition
    Zizhao Zhang

    Adriana Romero

    Matthew J. Muckley

    Lin Yang

    Michal Drozdzal
    residual neural network

    reconstruction error

    pattern recognition

    knee mri

    inference

    fidelity

    computer vision

    computer science

    artificial intelligence
    CVPR 2019
    (2019-02-08)

    openaccess.thecvf.comPDF

    Multi-Channel Based Sybil Attack Detection in Vehicular Ad Hoc Networks Using RSSI
    Yuan Yao

    Bin Xiao

    Gaofei Wu

    Zhiwen Yu

    Kailong Zhang

    Xingshe Zhou
    wireless network

    wireless ad hoc network

    sybil attack

    spectrogram

    radio propagation model

    power control

    dissemination

    computer science

    computer network

    channel
    IEEE Transactions on Mobile Computing
    (2019-02-01)

    ieeexplore.ieee.org

    Dendritic solutions to the credit assignment problem.

    Timothy P Lillicrap
    synaptic plasticity

    neuroscience

    neuron

    multiple stages

    credit assignment

    biology
    Current Opinion in Neurobiology
    (2019-02-01)

    www.sciencedirect.com

    The Impact of Time Interval between Extubation and Reintubation on Death or Bronchopulmonary Dysplasia in Extremely Preterm Infants.
    Wissam Shalish

    Lara Kanbar

    Lajos Kovacs

    Sanjay Chawla

    Martin Keszler

    Smita Rao

    Bogdan Panaitescu

    Alyse Laliberte

    Karen Brown

    Robert E. Kearney

    Guilherme M. Sant'Anna
    observational study

    medicine

    mechanical ventilation

    logistic regression

    internal medicine

    gestational age

    endocrinology

    diabetes mellitus

    confounding

    bronchopulmonary dysplasia

    birth weight

    anesthesia
    The Journal of Pediatrics
    (2019-02-01)

    www.sciencedirect.com

    Why rankings of biomedical image analysis competitions should be interpreted with care (vol 9, 5217, 2018)
    Lena Maier-Hein

    Matthias Eisenmann

    Annika Reinke

    Sinan Onogur

    Marko Stankovic

    Patrick Scholz

    Hrvoje Bogunovic

    Andrew P. Bradley

    Aaron Carass

    Carolin Feldmann

    Alejandro F. Frangi

    Peter M. Full

    Bram van Ginneken

    Allan Hanbury

    Katrin Honauer

    Michal Kozubek

    Bennett A. Landman

    Keno Maerz

    Oskar Maier

    … (18 more)

    genetics

    data science

    biomedical image

    biology
    Nature Communications
    (2019-01-30)

    eprints.whiterose.ac.uk

    Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care.
    Lena Maier-Hein

    Matthias Eisenmann

    Annika Reinke

    Sinan Onogur

    Marko Stankovic

    Patrick Scholz

    Hrvoje Bogunovic

    Andrew P. Bradley

    Aaron Carass

    Carolin Feldmann

    Alejandro F. Frangi

    Peter M. Full

    Bram van Ginneken

    Allan Hanbury

    Katrin Honauer

    Michal Kozubek

    Bennett A. Landman

    Keno März

    Oskar Maier

    … (18 more)

    information retrieval

    genetics

    biomedical image

    biology
    Nature Communications
    (2019-01-30)

    www.nature.com

    Gated Attentive-Autoencoder for Content-Aware Recommendation
    Chen Ma

    Peng Kang

    Bin Wu

    Qinglong Wang

    the internet

    still face

    recommender system

    mobile device

    information retrieval

    exploit

    computer science

    binary number

    autoencoder
    WSDM 2019
    (2019-01-30)

    dl.acm.orgPDF

    Session-Based Social Recommendation via Dynamic Graph Attention Networks
    Weiping Song

    Zhiping Xiao

    Yifan Wang

    Ming Zhang

    world wide web

    social network

    social influence

    relevant information

    recurrent neural network

    recommender system

    information retrieval

    influencer marketing

    graph

    computer science

    artificial neural network
    WSDM 2019
    (2019-01-30)

    doi.orgPDF

    Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-negative Tensor Factorization
    Kejing Yin

    Dong Qian

    William Cheung

    Jonathan A Poon
    tensor factorization

    tensor

    regularization

    mortality prediction

    machine learning

    individual data

    health records

    disease progression

    computer science

    clinical events

    artificial intelligence
    AAAI 2019
    (2019-01-27)

    aaai.orgPDF

    Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
    Carles Gelada

    simplex

    reinforcement learning

    operator

    normalization

    mathematical optimization

    discounting

    contraction mapping

    computer science

    bootstrapping

    bellman equation
    AAAI 2019
    (2019-01-27)

    www.aaai.orgPDF

    A Comparative Analysis of Expected and Distributional Reinforcement Learning
    Clare Mb Lyle

    Pablo Samuel Castro

    reinforcement learning

    mathematical optimization

    linear approximation

    expected value

    convergence

    computer science
    AAAI 2019
    (2019-01-27)

    aaai.orgPDF

    Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
    Christopher Morris

    Martin Ritzert

    Matthias Fey

    Jan Eric Lenssen

    Gaurav Rattan

    Martin Grohe
    theoretical computer science

    social network

    machine learning

    heuristic

    graph neural networks

    graph isomorphism

    graph classification

    graph

    expressivity

    computer science

    artificial intelligence
    AAAI 2019
    (2019-01-27)

    aaai.orgPDF

    Generating Character Descriptions for Automatic Summarization of Fiction
    Weiwei Zhang

    Joel Oren
    ranking

    natural language processing

    machine learning

    computer science

    automatic summarization

    artificial intelligence
    AAAI 2019
    (2019-01-27)

    aaai.orgPDF

    Learning Multi-task Communication with Message Passing for Sequence Learning
    Pengfei Liu

    Jie Fu

    Yue Dong

    Xipeng Qiu

    transfer of learning

    sequence learning

    message passing

    machine learning

    graph neural networks

    graph

    computer science

    artificial intelligence
    AAAI 2019
    (2019-01-27)

    aaai.orgPDF

    Contextualized Non-local Neural Networks for Sequence Learning
    Pengfei Liu

    Shuaichen Chang

    Jian Tang

    sequence learning

    sentence

    semantic matching

    non local

    machine learning

    interpretability

    graph neural networks

    computer science

    artificial neural network

    artificial intelligence
    AAAI 2019
    (2019-01-27)

    aaai.orgPDF

    Leveraging observations in bandits: Between risks and benefits
    Andrei Lupu

    speedup

    risks and benefits

    regret

    optimism

    observational learning

    machine learning

    leverage

    imitation learning

    high probability

    computer science

    artificial intelligence
    AAAI 2019
    (2019-01-27)

    www.aaai.orgPDF

    Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
    Eric Crawford

    object detection

    neural network architecture

    machine learning

    invariant

    interpretability

    intelligent agent

    grid cell

    convolutional neural network

    computer science

    artificial intelligence

    architecture
    AAAI 2019
    (2019-01-27)

    www.aaai.orgPDF

    On-line Adaptative Curriculum Learning for GANs
    Thang Doan

    Joao B Monteiro

    Isabela Albuquerque

    Bogdan Mazoure

    stochastic optimization

    probability distribution

    machine learning

    generative grammar

    discriminator

    curriculum

    convergence

    computer science

    baseline

    artificial intelligence

    adversarial system
    AAAI 2019
    (2019-01-27)

    www.aaai.orgPDF

    Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies

    Chinnadhurai Sankar

    Eugene Vorontsov

    Samira Ebrahimi Kahou

    recurrent neural network

    operator

    mathematical optimization

    computer science

    algorithm
    AAAI 2019
    (2019-01-27)

    www.aaai.orgPDF

    Combined Reinforcement Learning via Abstract Representations
    vincent francois-lavet

    transfer of learning

    state space

    reinforcement learning

    modularity

    machine learning

    encoding

    computer science

    bridging

    artificial intelligence

    abstraction
    AAAI 2019
    (2019-01-27)

    www.aaai.orgPDF

    Towards a Knowledge-Based Recommender System for Linking Electronic Patient Records With Continuing Medical Education Information at the Point of Care
    Manuel Gil

    Reem El Sherif

    Manon Pluye

    Roland Grad

    Pierre Pluye
    workflow

    recommender system

    recall

    point of care

    medical record

    medical physics

    knowledge based systems

    gold standard

    continuing medical education

    computer science

    computer network
    IEEE Access
    (2019-01-23)

    ieeexplore.ieee.org

    A Hybrid Framework for Sentiment Analysis Using Genetic Algorithm Based Feature Reduction
    Farkhund Iqbal

    Jahanzeb Maqbool Hashmi

    Rabia Batool

    Asad Masood Khattak

    Saiqa Aleem

    Patrick C. K. Hung
    the internet

    sentiment analysis

    scalability

    ranging

    principal component analysis

    machine learning

    lexicon

    latent semantic analysis

    genetic algorithm

    distributed computing

    computer science

    artificial intelligence
    IEEE Access
    (2019-01-21)

    ieeexplore.ieee.org

    Equivalence of Equilibrium Propagation and Recurrent Backpropagation.
    Benjamin Scellier

    supervised training

    recurrent neural network

    mathematics

    machine learning

    equivalence

    backpropagation

    artificial intelligence
    Neural Computation
    (2019-01-18)

    ui.adsabs.harvard.eduPDF

    Cross-Domain Noise Impact Evaluation for Black Box Two-Level Control CPS
    Feng Tan

    Liansheng Liu

    Stefan Winter

    Qixin Wang

    Neeraj Suri

    Lei Bu

    Yu Peng

    Xiyuan Peng
    testbed

    real time computing

    reachability

    lyapunov stability

    impact evaluation

    exploit

    engineering

    emulation

    distributed computing

    cyber physical system

    black box
    ACM Transactions on Cyber-Physical Systems
    (2019-01-16)

    dblp.uni-trier.de

    Development of a ranking procedure for energy performance evaluation of buildings based on occupant behavior
    Milad Ashouri

    Fariborz Haghighat

    Hiroshi Yoshino
    urban climate

    ranking

    engineering

    energy performance

    energy consumption

    cluster analysis

    building energy

    association rule learning

    artificial neural network

    architectural engineering
    Energy and Buildings
    (2019-01-15)

    www.sciencedirect.com

    Scalable appearance filtering for complex lighting effects
    Luis E. Gamboa

    Jean-Philippe Guertin

    rendering

    normal mapping

    mathematics

    histogram

    ground truth

    global illumination

    filter

    computer vision

    artificial intelligence

    aliasing

    active appearance model
    ACM Transactions on Graphics
    (2019-01-10)

    doi.org

    Wordnet-Based Criminal Networks Mining for Cybercrime Investigation
    Farkhund Iqbal

    Mourad Debbabi

    Rabia Batool

    Andrew Marrington
    social network

    social media

    law enforcement

    internet privacy

    information revolution

    hacker

    exploit

    cybercrime

    content analysis

    computer science

    computer network
    IEEE Access
    (2019-01-09)

    doi.org

    An Efficient UAV Hijacking Detection Method Using Onboard Inertial Measurement Unit
    Zhiwei Feng

    Nan Guan

    Mingsong Lv

    Weichen Liu

    Qingxu Deng

    Wang Yi
    trajectory

    real time computing

    inertial measurement unit

    gyroscope

    drone

    cyber physical system

    computer science

    computational complexity theory

    accelerometer

    acceleration
    ACM Transactions in Embedded Computing Systems
    (2019-01-09)

    doi.org

    Arabic Authorship Attribution: An Extensive Study on Twitter Posts
    Malik H. Altakrori

    Farkhund Iqbal

    Steven H. H. Ding

    Abdallah Tubaishat
    writing style

    turkish

    the internet

    social media

    law enforcement

    internet privacy

    deception

    cybercrime

    computer science

    anonymity
    ALRLIP 2019
    (2019-01-08)

    dblp.uni-trier.de

    Graph-Based Compression for Distributed Particle Filters
    Jun Ye Yu

    Mark J. Coates

    particle filter

    particle

    matrix

    laplacian matrix

    graph based

    exploit

    encode

    computer science

    compression

    algorithm
    SIPN 2019
    (2019-01-01)

    doi.org

    Uncertainty Principle on Graphs
    Bastien Pasdeloup

    Vincent Gripon

    Réda Alami

    uncertainty principle

    sampling

    operator

    harmonic analysis

    graph

    fourier transform

    filter

    convolution

    computer science

    algorithm
    (venue unknown)
    (2019-01-01)

    link.springer.com

    Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow.
    Tuan Anh Le

    Adam R. Kosiorek

    N. Siddharth

    Yee Whye Teh

    wake

    stochastic control

    mathematical optimization

    flow

    computer science
    UAI 2019
    (2019-01-01)

    dblp.uni-trier.dePDF

    View-dependent Radiance Caching.
    Yangyang Zhao

    Laurent Belcour

    view dependent

    radiance

    computer vision

    computer science

    artificial intelligence
    GI 2019
    (2019-01-01)

    dblp.uni-trier.de

    Learning Stylometric Representations for Authorship Analysis
    Steven H. H. Ding

    Farkhund Iqbal

    William K. Cheung
    word2vec

    sentence

    paragraph

    natural language processing

    mathematics

    machine learning

    latent semantic analysis

    latent dirichlet allocation

    feature vector

    feature engineering

    bag of words model

    artificial intelligence
    IEEE Transactions on Systems, Man, and Cybernetics
    (2019-01-01)

    doi.org

    Evaluating systematicity in neural networks with natural language inference.
    Emily Goodwin

    Koustuv Sinha

    psychology

    natural language inference

    cognitive psychology

    artificial neural network
    Cognitive Science
    (2019-01-01)

    dblp.uni-trier.de

    On Robustness: An Undervalued Dimension of Human Rationality.
    Ardavan Salehi Nobandegani

    Kevin da Silva Castanheira

    Thomas R. Shultz
    robustness

    rationality

    psychology

    cognitive psychology
    Cognitive Science
    (2019-01-01)

    dblp.uni-trier.de

    Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony.
    Daniel Harasim

    Martin Rohrmeier
    syntax

    speech recognition

    rhythm

    harmony

    harmonic

    computer science
    ISMIR 2019
    (2019-01-01)

    dblp.uni-trier.de

    HyperCo: Optimizing Network Performance in ARM-Based Mobile Virtualization
    Jianguo Yao

    Ting Deng

    Hans-Arno Jacobsen

    Haibing Guan
    virtualization

    throughput

    network performance

    mobile telephony

    hypervisor

    hardware virtualization

    full virtualization

    embedded system

    context switch

    computer science
    IEEE Transactions on Services Computing
    (2019-01-01)

    ieeexplore.ieee.org

    Indoor Localization Based on Channel State Information
    Shabir Abdul Samadh

    Qianyu Liu

    Negar Ghourchian

    Michel Allegue
    wireless sensor network

    wireless

    wifi network

    robustness

    real time computing

    radio frequency

    engineering

    electronic engineering

    deep learning

    data modeling

    channel state information

    artificial intelligence
    WISNET 2019
    (2019-01-01)

    dblp.uni-trier.de

    Bandwidth and Energy Efficient Image Sharing for Situation Awareness in Disasters
    Pengfei Zuo

    Yu Hua

    Yuanyuan Sun

    Jie Wu

    Yuncheng Guo

    Wen Xia

    Shunde Cao

    Dan Feng
    source code

    situation awareness

    redundancy

    image sharing

    feature extraction

    exploit

    efficient energy use

    distributed computing

    computer science

    bandwidth
    IEEE Transactions on Parallel and Distributed Systems
    (2019-01-01)

    ieeexplore.ieee.org

    Traceability in the Wild: Automatically Augmenting Incomplete Trace Links.
    Michael Rath

    Jacob Rendall

    Jane Cleland-Huang

    Patrick Mäder
    traceability

    database

    computer science
    SE/SWM
    (2019-01-01)

    doi.org

    Bioinformatics Approaches to Gain Insights into cis-Regulatory Motifs Involved in mRNA Localization.
    Louis Philip Benoit Bouvrette

    Eric Lécuyer
    zip code

    rna localization

    protein secondary structure

    protein biosynthesis

    primary sequence

    motif

    messenger rna

    gene expression

    computational biology

    biology

    biochemistry
    Advances in Experimental Medicine and Biology
    (2019-01-01)

    link.springer.com

    A Decentralized Framework for the Optimal Coordination of Distributed Energy Resources
    Miguel F. Anjos

    Mathieu Tanneau
    state of charge

    software

    robustness

    mathematical optimization

    linear programming

    engineering

    energy resources

    distributed generation

    control engineering

    computation

    column generation
    IEEE Transactions on Power Systems
    (2019-01-01)

    ieeexplore.ieee.org

    A tutorial on recursive models for analyzing and predicting path choice behavior.
    Maëlle Zimmermann

    recursion

    mathematical optimization

    inverse reinforcement learning

    inverse optimization

    intuition

    discrete choice

    computer science

    choice problem
    EURO Journal on Transportation and Logistics
    (2019-01-01)

    www.sciencedirect.com

    Learning Reliable Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
    Hossein Aboutalebi

    Tibor Schuster
    machine learning

    computer science

    clinical trial

    artificial intelligence
    IJCAI 2019
    (2019-01-01)

    dblp.uni-trier.dePDF

    Temporally Extended Metrics for Markov Decision Processes.
    markov decision process

    machine learning

    computer science

    artificial intelligence
    AAAI 2019
    (2019-01-01)

    dblp.uni-trier.dePDF

    Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials.
    Hossein Aboutalebi

    Tibor Schuster
    modular design

    machine learning

    computer science

    clinical trial

    artificial intelligence
    IJCAI 2019
    (2019-01-01)

    dblp.uni-trier.dePDF

    Seeded self-play for language learning
    Abhinav Gupta

    Ryan Lowe

    Jakob Foerster

    Douwe Kiela

    linguistics

    language acquisition

    computer science
    Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world kNowledge (LANTERN)
    (2019-01-01)

    dx.doi.org

    Leveraging exploration in off-policy algorithms via normalizing flows.
    Bogdan Mazoure

    Thang Doan

    data mining

    computer science
    CoRL
    (2019-01-01)

    proceedings.mlr.press

    Attending Over Triads for Learning Signed Network Embedding
    Shagun Sodhani

    Meng Qu

    theoretical computer science

    social balance

    single type

    network embedding

    higher order structure

    computer science
    Frontiers in Big Data
    (2019-01-01)

    www.frontiersin.org

    Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
    Luchen Liu

    Haoran Li

    Zhiting Hu

    Haoran Shi

    Zichang Wang

    Ming Zhang
    psychological intervention

    outcome prediction

    machine learning

    icu admission

    health records

    health care

    electronic health record

    computer science

    clinical events

    artificial intelligence
    AMIA 2019
    (2019-01-01)

    dblp.uni-trier.dePDF

    Probability Distillation: A Caveat and Alternatives.
    Chin-Wei Huang

    Faruk Ahmed

    Kundan Kumar

    Alexandre Lacoste

    mathematical optimization

    distillation

    computer science
    UAI 2019
    (2019-01-01)

    dblp.uni-trier.dePDF

    VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering.
    Catalina Cangea

    Eugene Belilovsky

    Pietro Liò

    question answering

    embodied cognition

    computer vision

    computer science

    cognitive science

    bridging

    artificial intelligence
    BMVC 2019
    (2019-01-01)

    dblp.uni-trier.dePDF

    InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck
    Anirudh Goyal

    Riashat Islam

    Daniel Strouse

    Zafarali Ahmed

    Matthew Botvinick

    Sergey Levine
    information bottleneck method

    distributed computing

    computer science
    (venue unknown)
    (2019-01-01)

    research.google

    Perceptual Generative Autoencoders.
    Zijun Zhang

    Ruixiang Zhang

    Zongpeng Li

    speech recognition

    perception

    machine learning

    generative grammar

    computer science

    artificial intelligence
    ICLR 2019
    (2019-01-01)

    dblp.uni-trier.de

    2018

    Ethical Challenges in Data-Driven Dialogue Systems
    Peter Henderson

    Koustuv Sinha

    Nicolas Angelard-Gontier

    Nan Rosemary Ke

    Genevieve Fried

    Ryan Lowe

    systems research

    reinforcement learning

    offensive

    machine learning

    ethical issues

    data driven

    data science

    conversation

    computer science

    artificial intelligence

    adversarial system
    AAAI 2018
    (2018-12-27)

    dblp.uni-trier.de

    Double-Stranded Biotinylated Donor Enhances Homology-Directed Repair in Combination with Cas9 Monoavidin in Mammalian Cells.
    Philip J.R. Roche

    Heidi Gytz

    Faiz Hussain

    Christopher J.F. Cameron

    Denis Paquette

    Josée Dostie

    Bhushan Nagar

    Uri David Akavia
    indel

    homology directed repair

    genome editing

    double stranded

    dna

    chemistry

    cell biology

    cas9

    biotinylation
    The CRISPR journal
    (2018-12-20)

    www.liebertpub.com

    An Introduction to Deep Reinforcement Learning
    Vincent François-Lavet

    Peter Henderson

    Riashat Islam

    smart grid

    robotics

    reinforcement learning

    human computer interaction

    deep learning

    computer science

    artificial intelligence
    (venue unknown)
    (2018-12-20)

    nowpublishers.comPDF

    Prediction of Progression in Multiple Sclerosis Patients
    Adrian Tousignant

    Paul Lemaître

    Douglas Arnold

    oncology

    multiple sclerosis

    medicine

    internal medicine
    International Conference on Medical Imaging with Deep Learning — Full Paper Track
    (2018-12-13)

    openreview.netPDF

    Why rankings of biomedical image analysis competitions should be interpreted with care
    Lena Maier-Hein

    Matthias Eisenmann

    Annika Reinke

    Sinan Onogur

    Marko Stankovic

    Patrick Scholz

    Hrvoje Bogunovic

    Andrew P. Bradley

    Aaron Carass

    Carolin Feldmann

    Alejandro F. Frangi

    Peter M. Full

    Bram van Ginneken

    Allan Hanbury

    Katrin Honauer

    Michal Kozubek

    Bennett A. Landman

    Keno März

    Oskar Maier

    … (18 more)

    test data

    ranking

    open research

    medline

    image processing

    genetics

    data science

    biomedical image

    biology

    best practice

    benchmarking
    Nature Communications
    (2018-12-06)

    www.nature.comPDF

    Recurrent transition networks for character locomotion
    Félix G. Harvey

    transition network

    terrain

    recurrent neural network

    motion capture

    gait

    deep learning

    computer vision

    computer science

    artificial neural network

    artificial intelligence

    animation
    SIGGRAPH 2018
    (2018-12-04)

    dl.acm.org

    Automatic differentiation in ML: Where we are and where we should be going
    toolchain

    recursion

    python

    programming language

    operator overloading

    machine learning

    functional programming

    dataflow programming

    computer science

    compiler

    automatic differentiation

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Faithful Inversion of Generative Models for Effective Amortized Inference
    Stefan Webb

    Adam Golinski

    Rob Zinkov

    Siddharth Narayanaswamy

    Tom Rainforth

    Yee Whye Teh

    maxima and minima

    mathematical optimization

    inversion

    inference

    heuristic

    graphical model

    generative model

    generative grammar

    correctness

    computer science

    algorithm
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Bayesian Distributed Stochastic Gradient Descent
    Michael Teng

    stochastic gradient descent

    rate of convergence

    predictive inference

    mathematical optimization

    inference

    generative model

    computer science

    computer cluster

    bayesian probability

    artificial neural network
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation
    Edward Smith

    Scott Fujimoto

    voxel

    silhouette

    scaling

    rgb color model

    orthographic depth

    machine learning

    learning problem

    high resolution

    generative grammar

    computer vision

    computer science

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Dual Policy Iteration
    Wen Sun

    Byron Boots

    J. Bagnell
    optimal control

    mathematical optimization

    markov decision process

    convergence

    computer science

    artificial neural network
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Learning Beam Search Policies via Imitation Learning
    Renato Negrinho

    Matthew Gormley

    structured prediction

    machine learning

    imitation learning

    decoding methods

    computer science

    beam search

    beam

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Adversarial Multiple Source Domain Adaptation
    Han Zhao

    Shanghang Zhang

    Guanhang Wu

    José M. F. Moura

    Joao P Costeira

    sentiment analysis

    regression

    multiple source

    machine learning

    invariant

    domain adaptation

    discriminative model

    computer science

    artificial neural network

    artificial intelligence

    adversarial system
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Embedding Logical Queries on Knowledge Graphs

    Payal Bajaj

    Marinka Zitnik

    Dan Jurafsky

    Jure Leskovec
    time complexity

    theoretical computer science

    operator

    machine learning

    logical operations

    knowledge graph

    incomplete knowledge

    graph

    enumeration

    embedding

    computer science

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Hierarchical Graph Representation Learning with Differentiable Pooling
    Zhitao Ying

    Jiaxuan You

    Christopher Morris

    Xiang Ren

    Jure Leskovec
    theoretical computer science

    pooling

    machine learning

    graph neural networks

    graph classification

    graph

    graph

    differentiable function

    computer science

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Temporal Regularization for Markov Decision Process
    smoothness

    reinforcement learning

    regularization

    mathematical optimization

    markov decision process

    markov chain

    high dimensional

    exploit

    computer science

    bellman equation
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Unsupervised Depth Estimation, 3D Face Rotation and Replacement
    Joel Moniz

    Christopher Beckham

    Simon Rajotte

    Sina Honari

    single image

    machine learning

    image translation

    facial geometry

    computer vision

    computer science

    computation

    artificial intelligence

    affine transformation

    3d model
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Towards Deep Conversational Recommendations
    Raymond Li

    Samira Ebrahimi Kahou

    Hannes Schulz

    Vincent Michalski

    sentiment analysis

    recommender system

    problem domain

    natural language

    machine learning

    deep learning

    data science

    computer science

    artificial neural network

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
    Kirill Struminsky

    Anton Osokin
    upper and lower bounds

    sample complexity

    regular polygon

    ranking

    quadratic equation

    mathematical optimization

    computer science

    calibration function
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Fast Approximate Natural Gradient Descent in a Kronecker Factored Eigenbasis
    Thomas George

    César Laurent

    Xavier Bouthillier

    Nicolas Ballas

    rendering

    optimization algorithm

    network architecture

    natural gradient

    mathematical optimization

    kronecker delta

    diagonal

    covariance matrix

    covariance

    computer science

    algorithm
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Improving Explorability in Variational Inference with Annealed Variational Objectives
    Chin-Wei Huang

    Shawn Tan

    Alexandre Lacoste

    robustness

    mathematical optimization

    inference

    importance sampling

    computer science
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Towards Text Generation with Adversarially Learned Neural Outlines
    Sandeep Subramanian

    Sai Rajeswar Mudumba

    Alessandro Sordoni

    Adam Trischler

    text generation

    sentence

    multinomial sampling

    machine learning

    interpolation

    generative grammar

    encoder

    computer science

    autoregressive model

    artificial intelligence

    adversarial system
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
    Nan Ke

    Anirudh Goyal Alias Parth Goyal

    Jonathan Binas

    Michael Mozer

    single step

    recurrent neural network

    mental state

    machine learning

    credit assignment

    computer science

    computation

    common method

    backtracking

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Bayesian Model-Agnostic Meta-Learning
    Jaesik Yoon

    Taesup Kim

    Ousmane Dia

    Sungwoong Kim

    Sungjin Ahn
    robustness

    reinforcement learning

    point estimation

    overfitting

    machine learning

    inference

    computer science

    bayesian probability

    bayesian inference

    artificial intelligence

    active learning
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    MetaGAN: An Adversarial Approach to Few-Shot Learning
    Ruixiang Zhang

    Tong Che

    Zoubin Ghahramani

    Yangqiu Song
    machine learning

    learning models

    decision boundary

    contextual image classification

    computer science

    artificial intelligence

    adversarial system
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Dendritic cortical microcircuits approximate the backpropagation algorithm
    João Sacramento

    Rui Ponte Costa

    Walter Senn
    synaptic plasticity

    regression

    pyramidal neuron

    neuroscience

    machine learning

    deep learning

    credit assignment

    cortical circuits

    computer science

    biological neural network

    backpropagation

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Image-to-image translation for cross-domain disentanglement
    Abel Gonzalez-Garcia

    Joost van de Weijer

    pattern recognition

    network component

    multiple modes

    machine learning

    labeled data

    interpolation

    image translation

    image transfer

    generative grammar

    computer science

    artificial intelligence
    NEURIPS 2018
    (2018-12-03)

    papers.nips.ccPDF

    Scheduling M2M traffic over LTE uplink of a dense small cell network
    Melchiorre Danilo Abrignani

    Lorenza Giupponi

    Roberto Verdone
    throughput

    telecommunications link

    scheduling

    protocol stack

    optimization problem

    network simulation

    heuristic

    heterogeneous network

    computer science

    computer network
    Eurasip Journal on Wireless Communications and Networking
    (2018-12-01)

    jwcn-eurasipjournals.springeropen.comPDF

    Deep Learning recognizes weather and climate patterns
    K. Kashinath

    M. Prabhat

    M. Mudigonda

    A. Mahesh

    S. K. Kim

    Y. Liu

    S. Kahou

    B. A. Toms

    E. Racah

    C. Beckham

    T. Maharaj

    J. Biard

    K. Kunkel

    D. N. Williams

    T. A. O'Brien

    M. F. Wehner

    W. D. Collins
    weather and climate

    machine learning

    informatics

    fuzzy logic

    deep learning

    computer science

    artificial intelligence
    AGUFM
    (2018-12-01)

    ui.adsabs.harvard.edu

    Deep convolutional networks for quality assessment of protein folds.
    Georgy Derevyanko

    Sergei Grudinin

    Guillaume Lamoureux
    supplementary data

    ranking

    quality assessment

    protein model

    native structure

    data mining

    computer science

    assessment methods

    artificial neural network

    a protein
    Bioinformatics
    (2018-12-01)

    academic.oup.comPDF

    Contextual Bandits for Adapting Treatment in a Mouse Model of de Novo Carcinogenesis

    Charis Achilleos

    Demetris Iacovides

    Katerina Strati

    Georgios D. Mitsis

    computer science

    carcinogenesis

    cancer research
    Machine Learning for Healthcare Conference
    (2018-11-29)

    proceedings.mlr.pressPDF

    Keep Drawing It: Iterative language-based image generation and editing.
    Alaaeldin El-Nouby

    Shikhar Sharma

    Hannes Schulz

    Layla El Asri

    Samira Ebrahimi Kahou

    Graham W. Taylor
    single step

    single image

    image generation

    computer vision

    computer science

    artificial intelligence
    (venue unknown)
    (2018-11-24)

    www.microsoft.comPDF

    A natural history of song [working paper]
    Samuel Mehr

    Manvir Singh

    Dean Knox

    Christopher Lucas

    Daniel Ketter

    Daniel Pickens-Jones

    Nori Jacoby

    Steven Pinker

    Max Krasnow
    singing

    problem of universals

    natural history

    history

    ethnography

    cross cultural

    anthropology
    (venue unknown)
    (2018-11-22)

    osf.io

    Navigation in the Service of Enhanced Pose Estimation
    Travis Manderson

    Ran Cheng

    visual feedback

    underwater robotics

    robot trajectory

    pose

    odometry

    engineering

    control engineering

    computer vision

    artificial intelligence
    ISER 2018
    (2018-11-05)

    doi.org

    Policy Search on Aggregated State Space for Active Sampling
    Sandeep Manjanna

    Herke Van Hoof

    state space

    scalar field

    sampling

    region of interest

    engineering

    control engineering

    algorithm

    adaptive sampling
    ISER 2018
    (2018-11-05)

    doi.org

    Defending Against Adversarial Samples Without Security through Obscurity
    Wenbo Guo

    Qinglong Wang

    Kaixuan Zhang

    Alexander G. Ororbia

    Sui Huang

    C. Lee Giles

    Lin Lin

    Xinyu Xing
    security through obscurity

    robustness

    malware

    machine learning

    mnist database

    generality

    exploit

    deep learning

    data mining

    computer science

    artificial intelligence

    adversarial system
    ICDM 2018
    (2018-11-01)

    doi.org

    A Knowledge Hunting Framework for Common Sense Reasoning
    Ali Emami

    Adam Trischler

    Kaheer Suleman

    Noelia De La Cruz

    natural language processing

    computer science

    commonsense reasoning

    cognitive science

    artificial intelligence
    EMNLP 2018
    (2018-10-31)

    emnlp2018.org

    A Hierarchical Neural Attention-based Text Classifier
    Koustuv Sinha

    Yue Dong

    natural language processing

    machine learning

    computer science

    classifier

    artificial intelligence
    EMNLP 2018
    (2018-10-31)

    emnlp2018.org

    BanditSum: Extractive Summarization as a Contextual Bandit
    Yue Dong

    Yikang Shen

    Eric Crawford

    Herke van Hoof

    reinforcement learning algorithm

    natural language processing

    machine learning

    computer science

    automatic summarization

    artificial neural network

    artificial intelligence
    EMNLP 2018
    (2018-10-31)

    aclanthology.info

    Extending Neural Generative Conversational Model using External Knowledge Sources
    Prasanna Parthasarathi

    natural language processing

    knowledge sources

    generative grammar

    computer science

    artificial intelligence
    EMNLP 2018
    (2018-10-31)

    emnlp2018.orgPDF

    Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
    Tom Bosc

    natural language processing

    encoding

    computer science

    artificial intelligence
    EMNLP 2018
    (2018-10-31)

    emnlp2018.org

    HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
    Zhilin Yang

    Peng Qi

    Saizheng Zhang

    William Cohen

    Ruslan Salakhutdinov

    Christopher D. Manning
    question answering

    natural language processing

    hop

    computer science

    artificial intelligence
    EMNLP 2018
    (2018-10-31)

    aclanthology.info

    Sim-to-Real Transfer with Neural-Augmented Robot Simulation
    Florian Golemo

    Adrien Ali Taïga

    Pierre-Yves Oudeyer
    robot

    reinforcement learning

    recurrent neural network

    reality gap

    motor skill

    computer science

    backlash

    artificial intelligence
    Conference on Robot Learning
    (2018-10-23)

    proceedings.mlr.pressPDF

    Deep Learning. Das umfassende Handbuch
    Ian Goodfellow

    Yoshua Bengio

    psychology

    pedagogy

    deep learning

    artificial intelligence
    (venue unknown)
    (2018-10-10)

    content-select.com

    Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio
    Stanislaw Jastrzebski

    Zachary Kenton

    Devansh Arpit

    Nicolas Ballas

    Asja Fischer

    Amos J. Storkey
    stochastic gradient descent

    size ratio

    pattern recognition

    maxima and minima

    generalization error

    deep neural networks

    convergence

    computer science

    artificial intelligence

    applied mathematics
    ICANN 2018
    (2018-10-04)

    doi.orgPDF

    Computing Nash equilibria for integer programming games

    Margarida Carvalho

    João Pedro Pedroso
    nash equilibrium

    mathematical optimization

    integer programming

    computer science
    Les Cahiers du GERAD
    (2018-10-01)

    www.gerad.ca

    Recurrent semi-supervised classification and constrained adversarial generation with motion capture data
    Félix G. Harvey

    Julien Roy

    David Kanaa

    pattern recognition

    motion capture

    mathematics

    machine learning

    labeled data

    generative grammar

    encoder

    cluster analysis

    artificial neural network

    artificial intelligence

    animation

    adversarial system
    Image and Vision Computing
    (2018-10-01)

    www.sciencedirect.com

    Where Off-Policy Deep Reinforcement Learning Fails
    Scott Fujimoto

    reinforcement learning

    computer science

    cognitive psychology
    (venue unknown)
    (2018-09-27)

    openreview.netPDF

    Learning powerful policies and better dynamics models by encouraging consistency
    Shagun Sodhani

    Anirudh Goyal

    Tristan Deleu

    Yoshua Bengio

    management science

    computer science
    (venue unknown)
    (2018-09-27)

    openreview.netPDF

    Visualizing and Discovering Behavioural Weaknesses in Deep Reinforcement Learning
    Christian Rupprecht

    Cyril Ibrahim

    reinforcement learning

    computer science

    cognitive science
    (venue unknown)
    (2018-09-27)

    openreview.netPDF

    EnGAN: Latent Space MCMC and Maximum Entropy Generators for Energy-based Models
    Rithesh Kumar

    Anirudh Goyal

    Yoshua Bengio
    statistical physics

    principle of maximum entropy

    mathematics

    markov chain monte carlo

    energy based
    (venue unknown)
    (2018-09-27)

    openreview.netPDF

    W2GAN: RECOVERING AN OPTIMAL TRANSPORT MAP WITH A GAN
    Leygonie Jacob

    Jennifer She

    Amjad Almahairi

    Sai Rajeswar

    topology

    computer science
    (venue unknown)
    (2018-09-27)

    openreview.netPDF

    Pix2Scene: Learning Implicit 3D Representations from Images
    Sai Rajeswar

    Fahim Mannan

    Florian Golemo

    David Vazquez

    natural language processing

    computer science

    artificial intelligence
    (venue unknown)
    (2018-09-27)

    openreview.net

    Convergence Properties of Deep Neural Networks on Separable Data
    Remi Tachet des Combes

    Mohammad Pezeshki

    Samira Shabanian

    topology

    separable space

    deep neural networks

    convergence

    computer science
    (venue unknown)
    (2018-09-27)

    openreview.netPDF

    Manifold Mixup: Learning Better Representations by Interpolating Hidden States
    Vikas Verma

    Alex Lamb

    Christopher Beckham

    Amir Najafi

    supervised learning

    robustness

    manifold

    machine learning

    discriminative model

    data point

    curse of dimensionality

    computer science

    computation

    classifier

    artificial intelligence
    (venue unknown)
    (2018-09-27)

    openreview.netPDF

    Social-Affiliation Networks: Patterns and the SOAR Model
    Dhivya Eswaran

    Artur W. Dubrawski

    Christos Faloutsos
    theoretical computer science

    stochastic modelling

    social affiliation

    soar

    recursion

    graph

    friendship graph

    friendship

    data mining

    computer science

    binary number
    PKDD 2018
    (2018-09-10)

    link.springer.com

    Visual Reasoning with Multi-hop Feature Modulati