Mila est un institut de recherche en intelligence artificielle qui rassemble 500 chercheurs spécialisés dans le domaine de l’apprentissage profond. Voici un répertoire de leurs publications, de 2018 à 2021.
2021-10
Lightweight Speech Enhancement in Unseen Noisy and Reverberant Conditions using KISS-GEV Beamforming.
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond.
Learning Multi-Objective Curricula for Deep Reinforcement Learning.
SparsePro: an efficient genome-wide fine-mapping method integrating summary statistics and functional annotations
Circulating proteins to predict adverse COVID-19 outcomes
A Survey on Deep Learning for Human Activity Recognition
On the robustness of generalization of drug-drug interaction models.
TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching
Normalizing automatic spinal cord cross-sectional area measures
Publisher Correction: Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data
Transfer functions: learning about a lagged exposure-outcome association in time-series data
THE EFFECT SIZE OF GENES ON COGNITIVE ABILITIES IS LINKED TO THEIR EXPRESSION ALONG THE MAJOR HIERARCHICAL GRADIENT IN THE HUMAN BRAIN
Inter-Brain Synchronization: From Neurobehavioral Correlation to Causal Explanation
Stochastic gradient descent with Polyak’s learning rate
Reward is enough
Weighted automata are compact and actively learnable
Information Processing Letters
(2021-10-01)
www.sciencedirect.com[Also on arXiv preprint arXiv:2011.10498 (2020-11-20)]2021-09
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents.
Topological Analysis of Single-Cell Hierarchy Reveals Inflammatory Glial Landscape of Macular Degeneration
Visually Grounded Reasoning across Languages and Cultures
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems
Opioid prescribing among new users for non-cancer pain in USA, Canada, UK and Taiwan: a population-based cohort study
Estimating the lagged effect of price discounting: a time-series study using transaction data of sugar sweetened beverages.
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
Informs Journal on Computing
(2021-09-28)
pubsonline.informs.org[Also on arXiv preprint arXiv:1911.09461 (2019-11-21)]Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling.
International Workshop on Machine Learning in Medical Imaging
(2021-09-27)
128.84.4.18PDF[Also on arXiv preprint arXiv:2108.06554 (2021-08-14)]Fast Successive-Cancellation List Flip Decoding of Polar Codes.
List-GRAND: A practical way to achieve Maximum Likelihood Decoding.
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information
Informs Journal on Computing
(2021-09-21)
pubsonline.informs.org[Also on arXiv preprint arXiv:1901.07935 (2018-07-31)]CARL: Conditional-value-at-risk Adversarial Reinforcement Learning.
From the group to the individual in schizophrenia spectrum disorders: Biomarkers of social cognitive impairments and therapeutic translation
Propagating Uncertainty Across Cascaded Medical Imaging Tasks For Improved Deep Learning Inference
Periodic Freight Demand Estimation for Large-scale Tactical Planning.
Routine Bandits: Minimizing Regret on Recurring Problems.
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge.
Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification
Transplantation of bacteriophages from ulcerative colitis patients shifts the gut bacteriome and exacerbates severity of DSS-colitis
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers.
Decision Models and Technology Can Help Psychiatry Develop Biomarkers
The challenge of reproducible ML: an empirical study on the impact of bugs.
RNAglib: A Python Package for RNA 2.5D Graphs
Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning.
Problems in the deployment of machine-learned models in health care.
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs
Simple Video Generation using Neural ODEs.
Assessing the Electronic Evidence System Needs of Canadian Public Health Professionals: Cross-sectional Study.
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation
Electronic Proceedings in Theoretical Computer Science
(2021-09-06)
dx.doi.org[LATEST on arXiv preprint arXiv:2109.04196 (2021-09-07)]Learning Neural Causal Models with Active Interventions
Proceedings 17th International Conference on Quantum Physics and Logic: Preface
Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data.
Nature Communications
(2021-09-06)
www-nature-com-443.webvpn.bjmu.tsg211.com[Also on bioRxiv (2021-01-15)]Decoding Reed-Muller Codes with Successive Factor-Graph Permutations.
Rapid simultaneous acquisition of macromolecular tissue volume, susceptibility, and relaxometry maps
Tensor of quantitative equational theories
Quantitative 7-Tesla Imaging of Cortical Myelin Changes in Early Multiple Sclerosis
Proceedings 17th International Conference on Quantum Physics and Logic
On the estimation of discrete choice models to capture irrational customer behaviors
Research Papers in Economics
(2021-09-01)
econpapers.repec.org[LATEST on arXiv preprint arXiv:2109.03882 (2021-09-08)]Promoting and Optimizing the Use of 3D-Printed Objects in Spontaneous Recognition Memory Tasks in Rodents: A Method for Improving Rigor and Reproducibility.
A Survey of Exploration Methods in Reinforcement Learning.
Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm
I-MAD: Interpretable malware detector using Galaxy Transformer
Learning function from structure in neuromorphic networks
2021-08
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.
Weakly supervised underwater fish segmentation using affinity LCFCN
Deep Reinforcement Learning at the Edge of the Statistical Precipice
Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform
High-Throughput VLSI Architecture for GRAND Markov Order.
Approximate Bayesian Optimisation for Neural Networks
Fall 2021 Resurgence and COVID-19 Seroprevalence in Canada: Modelling waning and boosting COVID-19 immunity in Canada, A Canadian Immunization Research Network Study
Monitoring non-pharmaceutical public health interventions during the COVID-19 pandemic.
Increased responsiveness to punishment of cocaine self-administration after experience with high punishment.
Generating community measures of food purchasing activities using store-level electronic grocery transaction records: an ecological study in Montreal, Canada.
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction.
Magnetoencephalography Resting-State Correlates of Executive and Language Components of Verbal Fluency
A Two-step Heuristic for the Periodic Demand Estimation Problem.
Generic acquisition protocol for quantitative MRI of the spinal cord.
Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
RAPPPID: Towards Generalisable Protein Interaction Prediction with AWD-LSTM Twin Networks
Deep Learning on Graphs for Natural Language Processing
Looking at the BiG picture: Incorporating bipartite graphs in drug response prediction
A functional mirror ascent view of policy gradient methods with function approximation.
Forgetting Enhances Episodic Control with Structured Memories
The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study.
Dynamic Diffuse Global Illumination Resampling.
Issue Link Label Recovery and Prediction for Open Source Software.
Post-hoc Interpretability for Neural NLP: A Survey.
Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord.
Evaluation of distortion correction methods in diffusion MRI of the spinal cord
Combinatorial Optimization and Reasoning with Graph Neural Networks
Reproducibility and Evolution of Diffusion MRI Measurements within the Cervical Spinal Cord in Multiple Sclerosis.
Temporally Abstract Partial Models
Improved Retrieval of Programming Solutions With Code Examples Using a Multi-featured Score
Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information.
Policy Gradients Incorporating the Future
Memorize, Factorize, or be Na\"ive: Learning Optimal Feature Interaction Methods for CTR Prediction
Parallel and Recurrent Cascade Models as a Unifying Force for Understanding Subcellular Computation.
Tracking White and Gray Matter Degeneration along the Spinal Cord Axis in Degenerative Cervical Myelopathy
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Sequoia: A Software Framework to Unify Continual Learning Research
Why do sleep disorders belong to mental disorder classifications? A network analysis of the "Sleep-Wake Disorders" section of the DSM-5.
ADEPT: An Adjective-Dependent Plausibility Task
On-the-Fly Attention Modulation for Neural Generation
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting
A Survey of Data Augmentation Approaches for NLP
Supervised multi-specialist topic model with applications on large-scale electronic health record data
BIOINFORMATICS 2021
(2021-08-01)
dblp.uni-trier.de[Also on arXiv preprint arXiv:2105.01238 (2021-05-04)]End-to-End Training of Neural Retrievers for Open-Domain Question Answering
UnNatural Language Inference
Temporal Profiles of Social Attention Are Different Across Development in Autistic and Neurotypical People.
Optimizing Deeper Transformers on Small Datasets
MLMLM: Link Prediction with Mean Likelihood Masked Language Model
StereoSet: Measuring stereotypical bias in pretrained language models
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
Journal of Machine Learning Research
(2021-08-01)
hal.archives-ouvertes.frPDF[Also on arXiv preprint arXiv:2003.12206 (2020-03-27)]2021-07
Smart About Meds (SAM): a pilot randomized controlled trial of a mobile application to improve medication adherence following hospital discharge.
Dynamic Diffuse Global Illumination Resampling
Pharmacists' perceptions of a machine learning model for the identification of atypical medication orders
Atlas-Based Quantification of DTI Measures in a Typically Developing Pediatric Spinal Cord.
Human brain anatomy reflects separable genetic and environmental components of socioeconomic status
Deep learning identifies and quantifies recombination hotspot determinants
Demystifying Neural Language Models' Insensitivity to Word-Order
A BRIEF STUDY ON THE EFFECTS OF TRAINING GENERATIVE DIALOGUE MODELS WITH A SEMANTIC LOSS
DO ENCODER REPRESENTATIONS OF GENERATIVE DIALOGUE MODELS HAVE SUFFICIENT SUMMARY OF THE INFORMATION ABOUT THE TASK
Clones in Deep Learning Code: What, Where, and Why?
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems
Investigating the impact of the CT Hounsfield unit range on radiomic feature stability using dual energy CT data.
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare
Sequential Core-Set Monte Carlo
q-Paths: Generalizing the Geometric Annealing Path using Power Means
Geographical concentration of COVID-19 cases by social determinants of health in 16 large metropolitan areas in Canada - a cross-sectional study
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
ETS1, ELK1, and ETV4 Transcription Factors Regulate Angiopoietin-1 Signaling and the Angiogenic Response in Endothelial Cells.
Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks.
Automatic Multiclass Intramedullary Spinal Cord Tumor Segmentation on MRI with Deep Learning
Diffusion magnetic resonance imaging reveals tract-specific microstructural correlates of electrophysiological impairments in non-myelopathic and myelopathic spinal cord compression.
Task-Assisted GAN for Resolution Enhancement and Modality Translation in Fluorescence Microscopy
Exploring polypharmacy with artificial intelligence: data analysis protocol.
Effects of eight neuropsychiatric copy number variants on human brain structure.
Active 3D Shape Reconstruction from Vision and Touch.
Parametric Scattering Networks.
Comorbidities and Medical Complications in Hospitalized Subarachnoid Hemorrhage Patients.
A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes.
Equivariant Networks for Pixelized Spheres
Preferential Temporal Difference Learning
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Robust Asymmetric Learning in POMDPs
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Randomized Exploration in Reinforcement Learning with General Value Function Approximation
Multi-Task Reinforcement Learning with Context-based Representations
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
Aggregating From Multiple Target-Shifted Sources
Diffusion Earth Mover's Distance and Distribution Embeddings
Learning a Universal Template for Few-shot Dataset Generalization
Information Obfuscation of Graph Neural Networks
Continuous Coordination As a Realistic Scenario for Lifelong Learning
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
Assisting the Adversary to Improve GAN Training
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization
Combating False Negatives in Adversarial Imitation Learning
On generalized surrogate duality in mixed-integer nonlinear programming
On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming
Time cell encoding in deep reinforcement learning agents depends on mnemonic demands
Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD-3.
Trips and Neurotransmitters: Discovering Principled Patterns across 6,850 Hallucinogenic Experiences
Making Sense of Metrics in the Music Industries
ACM SIGIR 2021 Chairs' Welcome
Deep Learning on Graphs for Natural Language Processing
TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks.
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical Samples
Structured Denoising Diffusion Models in Discrete State-Spaces.
How does hemispheric specialization contribute to human-defining cognition?
A simple and robust method for automating analysis of naïve and regenerating peripheral nerves.
SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality
Discrete-Valued Neural Communication
Design Smells in Deep Learning Programs: An Empirical Study.
The default mode network in cognition: a topographical perspective.
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
The Causal-Neural Connection: Expressiveness, Learnability, and Inference.
Enjeux juridiques propres au modèle émergent des patients accompagnateurs dans les milieux de soins au Québec (Legal Issues Arising from the Emerging Model of Accompanying Patients in the Quebec Healthcare System)
An artificial intelligence framework integrating longitudinal electronic health records with real-world data enables continuous pan-cancer prognostication
Educating the future generation of researchers: A cross-disciplinary survey of trends in analysis methods.
Why do builds fail?—A conceptual replication study
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints
General Cops and Robbers games with randomness
Theoretical Computer Science
(2021-07-01)
www.sciencedirect.com[Also on arXiv preprint arXiv:2004.11503 (2020-04-24)]HInet: Generating Neutral Hydrogen from Dark Matter with Neural Networks
The Astrophysical Journal
(2021-07-01)
iopscience.iop.org[Also on arXiv preprint arXiv:2007.10340 (2020-07-20)]2021-06
On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging.
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity.
Machine-Learning–Based Column Selection for Column Generation
Structure-aware reinforcement learning for node-overload protection in mobile edge computing.
Universal Semantics for the Stochastic λ-Calculus
Fixed-Points for Quantitative Equational Logics
Universal Semantics for the Stochastic Lambda-Calculus
Measures of balance in combinatorial optimization
Decomposed Mutual Information Estimation for Contrastive Representation Learning
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
Stochastic Polyak Stepsize with a Moving Target
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models.
Assumptions about frequency-dependent architectures of complex traits bias measures of functional enrichment
Deep learning for AI
Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design
Large-Scale Intrinsic Functional Brain Organization Emerges from Three Canonical Spatiotemporal Patterns
Memory Augmented Optimizers for Deep Learning.
Do Encoder Representations of Generative Dialogue Models Encode Sufficient Information about the Task
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss
Touch-based Curiosity for Sparse-Reward Tasks
5th Annual Conference on Robot Learning
(2021-06-19)
dblp.uni-trier.dePDF[Also on arXiv preprint arXiv:2104.00442 (2021-04-01)]Digitizing a sustainable future
Differentiable Particle Filtering without Modifying the Forward Pass.
Sample Efficient Social Navigation Using Inverse Reinforcement Learning.
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
The Cost of Untracked Diversity in Brain-Imaging Prediction
Cardinality Minimization, Constraints, and Regularization: A Survey.
Dissecting the midlife crisis: disentangling social, personality and demographic determinants in social brain anatomy.
SPeCiaL: Self-Supervised Pretraining for Continual Learning.
Techniques for Symbol Grounding with SATNet.
Deep feature extraction of single-cell transcriptomes by generative adversarial network.
In silico voltage-sensitive dye imaging reveals the emergent dynamics of cortical populations
Predicting Unreliable Predictions by Shattering a Neural Network
Randomized Exploration for Reinforcement Learning with General Value Function Approximation
Multi-Resolution Continuous Normalizing Flows.
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures.
Apprentissage de Vote de Majorité par Minimisation d'une C-Borne PAC-Bayésienne
Dérandomisation des Bornes PAC-Bayésiennes
Learning to Combine Per-Example Solutions for Neural Program Synthesis.
A Comparative Study of Learning Outcomes for Online Learning Platforms
Exploration-Driven Representation Learning in Reinforcement Learning
Federated Learning with Buffered Asynchronous Aggregation.
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.
Pretraining Representations for Data-Efficient Reinforcement Learning
SpeechBrain: A General-Purpose Speech Toolkit
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation.
Understanding Capacity Saturation in Incremental Learning
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models.
Improved Predictive Uncertainty using Corruption-based Calibration.
Bias Mitigation of Face Recognition Models Through Calibration.
The Benchmark Lottery
Rethinking Graph Transformers with Spectral Attention
Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation.
Towards Practical Near-Maximum-Likelihood Decoding of Error-Correcting Codes: An Overview
High-Throughput VLSI Architecture for Soft-Decision Decoding with ORBGRAND
CMIM: Cross-Modal Information Maximization For Medical Imaging
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Toward Skills Dialog Orchestration with Online Learning.
Attention Is All You Need In Speech Separation
Geometric Scattering Attention Networks
Double-Linear Thompson Sampling for Context-Attentive Bandits
A Variational Perspective on Diffusion-Based Generative Models and Score Matching
Extracting Weighted Automata for Approximate Minimization in Language Modelling.
Hierarchical Video Generation for Complex Data.
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting.
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL.
Beyond Target Networks: Improving Deep Q-learning with Functional Regularization.
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
MICo: Learning improved representations via sampling-based state similarity for Markov decision processes.
Continual Learning in Deep Networks: an Analysis of the Last Layer
Improving Continuous Normalizing Flows using a Multi-Resolution Framework
Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models
Outcome after acute ischemic stroke is linked to sex-specific lesion patterns.
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Reinforcement Learning.
Fast SC-Flip Decoding of Polar Codes with Reinforcement Learning
Artificial Intelligence and Ethics in Dentistry: A Scoping Review:
Genomic epidemiology and associated clinical outcomes of a SARS-CoV-2 outbreak in a general adult hospital in Quebec
Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL.
Malware classification and composition analysis: A survey of recent developments
Ethics of Corporeal, Co-present Robots as Agents of Influence: a Review
Enabling Technologies for Energy Cloud
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.
gRemote: Cloud rendering on GPU resource pool based on API-forwarding
What Do Practitioners Discuss about IoT and Industry 4.0 Related Technologies? Characterization and Identification of IoT and Industry 4.0 Categories in Stack Overflow Discussions
Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks
Neural Successive Cancellation Flip Decoding of Polar Codes
DuoRAT: Towards Simpler Text-to-SQL Models
ER-AE: Differentially Private Text Generation for Authorship Anonymization
2021-05
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
On the benefits of representation regularization in invariance based domain generalization.
Learning to Extend Program Graphs to Work-in-Progress Code.
Efficient and robust multi-task learning in the brain with modular task primitives.
Gotta Go Fast When Generating Data with Score-Based Models.
AndroidEnv: A Reinforcement Learning Platform for Android.
Deep generative models for galaxy image simulations
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19
RISC-V Barrel Processor for Deep Neural Network Acceleration
Deep generative models for galaxy image simulations
Publisher Correction: The default network of the human brain is associated with perceived social isolation
Le dialogue inclusif sur l’éthique de l’IA : délibération en ligne citoyenne et internationale pour l’UNESCO
Scalable Multi-Robot System for Non-myopic Spatial Sampling.
Author Correction: RADICL-seq identifies general and cell type-specific principles of genome-wide RNA-chromatin interactions.
Periodic Freight Demand Forecasting for Large-scale Tactical Planning.
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery.
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
Recovering the wedge modes lost to 21-cm foregrounds
Monthly Notices of the Royal Astronomical Society
(2021-05-17)
academic.oup.comPDF[LATEST on arXiv: Cosmology and Nongalactic Astrophysics (2021-05-25)]Quantitative magnetic resonance imaging of spinal cord microstructure in adults with cerebral palsy.
Imbalanced social-communicative and restricted repetitive behavior subtypes of autism spectrum disorder exhibit different neural circuitry
Recurrent Traumatic Brain Injury Surveillance Using Administrative Health Data: A Bayesian Latent Class Analysis.
The overfitted brain hypothesis.
Variability in Brain Structure and Function Reflects Lack of Peer Support
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
Reciprocity and alignment: quantifying coupling in dynamic interactions
CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
Phenotypical predictors of pregnancy-related restless legs syndrome and their association with basal ganglia and the limbic circuits
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks
A Comparison of an Artificial Intelligence Tool to Fundamental Frequency as an Outcome Measure in People Seeking a More Feminine Voice.
Graph Attention Networks with Positional Embeddings
TAG: Task-based Accumulated Gradients for Lifelong learning.
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle.
SARS-CoV-2 B.1.617 emergence and sensitivity to vaccine-elicited antibodies
Facilitating Asynchronous Participatory Design of Open Source Software: Bringing End Users into the Loop
Understanding by Understanding Not: Modeling Negation in Language Models.
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus
Interprofessional collaboration and health policy: results from a Quebec mixed method legal research.
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation.
“I Can’t Reply with That”: Characterizing Problematic Email Reply Suggestions
The N170 Face-Sensitive Brain Response: Toward a Stratification Biomarker for ASD
INSAR 2021
(2021-05-05)
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation.
Dilations and degeneracy in network controllability.
Neural Bayes: A Generic Parameterization Method for Unsupervised Learning
Transformers with Competitive Ensembles of Independent Mechanisms
Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations
Unified Principles For Multi-Source Transfer Learning Under Label Shifts
PNS-GAN: Conditional Generation of Peripheral Nerve Signals in the Wavelet Domain via Adversarial Networks
Lifespan Perspective on Congenital Heart Disease Research: JACC State-of-the-Art Review.
Decoupled Greedy Learning of Graph Neural Networks
Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training
Practical Marginalized Importance Sampling with the Successor Representation
Correcting Momentum in Temporal Difference Learning
Offline Policy Optimization with Variance Regularization
Conditional Networks
Visual Question Answering From Another Perspective: CLEVR Mental Rotation Tests
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks
Visualizing High-Dimensional Trajectories on the Loss-Landscape of ANNs
Search Data Structure Learning
Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression
Dependency Structure Discovery from Interventions
CaLFADS: latent factor analysis of dynamical systems in calcium imaging data
GraphLog: A Benchmark for Measuring Logical Generalization in Graph Neural Networks
Uncertainty for deep image classifiers on out of distribution data.
On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes
SSW-GAN: Scalable Stage-wise Training of Video GANs
Decomposing Mutual Information for Representation Learning
A Closer Look at Codistillation for Distributed Training
Fundamental Limits and Tradeoffs in Invariant Representation Learning
Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations
Out-of-Distribution Classification and Clustering
Mem2Mem: Learning to Summarize Long Texts with Memory Compression and Transfer
Gradient penalty from a maximum margin perspective
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
XLVIN: eXecuted Latent Value Iteration Nets
Adversarial Boot Camp: label free certified robustness in one epoch
Uncertainty in Neural Processes
Data-driven Learning of Geometric Scattering Networks
Uniform Priors for Data-Efficient Transfer
Directional graph networks
Maximum Reward Formulation In Reinforcement Learning
Graph Adversarial Networks: Protecting Information against Adversarial Attacks
Improving Few-Shot Visual Classification with Unlabelled Examples
Visual Imitation with Reinforcement Learning using Recurrent Siamese Networks
Adversarial Feature Desensitization
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
Revisiting Loss Modelling for Unstructured Pruning
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Meta Attention Networks: Meta-Learning Attention to Modulate Information Between Recurrent Independent Mechanisms
Spatially Structured Recurrent Modules
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments
DC3: A learning method for optimization with hard constraints
The R1-weighted connectome: complementing brain networks with a myelin-sensitive measure
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
Batch Reinforcement Learning Through Continuation Method
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Predicting Infectiousness for Proactive Contact Tracing
Adversarial score matching and improved sampling for image generation
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Iterated learning for emergent systematicity in VQA
Learning Task Decomposition with Order-Memory Policy Network
Systematic generalisation with group invariant predictions
Saliency is a Possible Red Herring When Diagnosing Poor Generalization
gradSim: Differentiable simulation for system identification and visuomotor control
Neural representation and generation for RNA secondary structures
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Integrating Categorical Semantics into Unsupervised Domain Translation
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Reinforcement Learning with Random Delays
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning
Learning Neural Generative Dynamics for Molecular Conformation Generation
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Neural Approximate Sufficient Statistics for Implicit Models
Regularized Inverse Reinforcement Learning
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
The Importance of Pessimism in Fixed-Dataset Policy Optimization
A Universal Representation Transformer Layer for Few-Shot Image Classification
Data-Efficient Reinforcement Learning with Self-Predictive Representations
ICLR 2021
(2021-05-03)
papyrus.bib.umontreal.caPDF[Also on arXiv preprint arXiv:2007.05929 (2020-07-12)]Recurrent Independent Mechanisms
Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning
SWAT tool at the SBST 2021 Tool Competition
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)
(2021-05-01)
dblp.uni-trier.deUncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning
Deep Koopman Representation for Control over Images (DKRCI)
Code Generation for Room Acoustics Simulations with Complex Boundary Conditions
Deep Learning for Voice Gender Identification: Proof‐of‐concept for Gender‐Affirming Voice Care
Data Driven Testing of Cyber Physical Systems
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing (SBST)
(2021-05-01)
dblp.uni-trier.de[Also on arXiv: Cryptography and Security (2021-02-23)]The Covering-Assignment Problem for Swarm-Powered Ad Hoc Clouds: A Distributed 3-D Mapping Usecase
2021-04
Design and Implementation of Smooth Renewable Power in Cloud Data Centers
What is Going on Inside Recurrent Meta Reinforcement Learning Agents
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
PKDD 2021
(2021-04-27)
hal.archives-ouvertes.frPDF[LATEST on arXiv preprint arXiv:2104.13626 (2021-04-28)]Fast Optimisation of Convolutional Neural Network Inference using System Performance Models
Recurrent neural networks achieving MLSE performance for optical channel equalization.
CosmicRIM : Reconstructing Early Universe by Combining Differentiable Simulations with Recurrent Inference Machines
Automatic API Usage Scenario Documentation from Technical Q&A Sites
ACM Transactions on Software Engineering and Methodology
(2021-04-23)
dl.acm.org[Also on arXiv preprint arXiv:2102.08502 (2021-02-16)]Tracking white and grey matter degeneration along the spinal cord axis in degenerative cervical myelopathy
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation.
Gradient Masked Federated Optimization.
Modeling Event Plausibility with Consistent Conceptual Abstraction.
Smart about medications (SAM): a digital solution to enhance medication management following hospital discharge.
The Surprising Performance of Simple Baselines for Misinformation Detection
Estimation of Fair Ranking Metrics with Incomplete Judgments
Enquire One’s Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
Linguistic dependencies and statistical dependence.
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval.
Characterizing Idioms: Conventionality and Contingency.
The Topic Confusion Task: A Novel Scenario for Authorship Attribution.
Compressed Imaging Reconstruction with Sparse Random Projection
Machine learning for combinatorial optimization: A methodological tour d’horizon
European Journal of Operational Research
(2021-04-16)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]Sometimes We Want Translationese.
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
Comparative Study of Learning Outcomes for Online Learning Platforms
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little.
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention.
Towards Causal Federated Learning For Enhanced Robustness and Privacy.
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer’s Disease
Science-Software Linkage: The Challenges of Traceability between Scientific Knowledge and Software Artifacts.
Common Limitations of Image Processing Metrics: A Picture Story
Reducing Representation Drift in Online Continual Learning.
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting.
Medical Imaging with Deep Learning
(2021-04-09)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:2107.12978 (2021-07-27)]SYSTEM AND METHOD FOR WIFI-BASED INDOOR LOCALIZATION VIA UNSUPERVISED DOMAIN ADAPTATION
A single gradient step finds adversarial examples on random two-layers neural networks
Mining heterogeneous clinical notes by multi-modal latent topic model.
Multi-tract multi-symptom relationships in pediatric concussions
hBert + BiasCorp -- Fighting Racism on the Web
Ecole: A Library for Learning Inside MILP Solvers.
gradSim: Differentiable simulation for system identification and visuomotor control
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark.
Understanding Continual Learning Settings with Data Distribution Drift Analysis.
#EEGManyLabs : investigating the replicability of influential EEG experiments
hBert + BiasCorp - Fighting Racism on the Web.
Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
(2021-04-01)
www.aclweb.orgPDFdeep21: a deep learning method for 21 cm foreground removal
Common limitations of performance metrics in biomedical image analysis
Analyzing the Kinematics of SITELLE Spectra using Machine Learning
Out-of-Distribution Detection using Vision Transformers
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection
Maintenance of a collection of machines under partial observability: Indexability and computation of Whittle index.
“Are you kidding me?”: Detecting Unpalatable Questions on Reddit
Discourse-Aware Unsupervised Summarization for Long Scientific Documents.
A Design Framework for Invertible Logic
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
(2021-04-01)
ieeexplore.ieee.orgUnderstanding How and Why Developers Seek and Analyze API-Related Opinions
IEEE Transactions on Software Engineering
(2021-04-01)
espace2.etsmtl.caPDF[Also on arXiv preprint arXiv:2102.08495 (2021-02-16)]Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs.
Differentially private data publishing for arbitrarily partitioned data
SeroTracker: a global SARS-CoV-2 seroprevalence dashboard.
AdSherlock: Efficient and Deployable Click Fraud Detection for Mobile Applications
2021-03
Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness
Functional architecture of the aging brain
All in This Together? A Preregistered Report on Deservingness of Government Aid during the COVID-19 Pandemic
Fasting alters the gut microbiome reducing blood pressure and body weight in metabolic syndrome patients.
On Systematic Polarization-Adjusted Convolutional (PAC) Codes
IEEE Communications Letters
(2021-03-30)
ieeexplore.ieee.org[Also on arXiv preprint arXiv:2011.03177 (2020-11-06)]Loneliness and Neurocognitive Aging
Associations Between Relative Morning Blood Pressure, Cerebral Blood Flow, and Memory in Older Adults Treated and Controlled for Hypertension.
Infodemic Pathways: Evaluating the Role That Traditional and Social Media Play in Cross-National Information Transfer
Bayesian Clustering for Continuous-Time Hidden Markov Models.
Countering Racial Bias in Computer Graphics Research.
Parallel and recurrent cascade models as a unifying force for understanding sub-cellular computation
A Practical Survey on Faster and Lighter Transformers.
Mapping gene transcription and neurocognition across human neocortex.
Challenges in Statistical Analysis of Data Collected by a Bandit Algorithm: An Empirical Exploration in Applications to Adaptively Randomized Experiments.
Beyond Correlation versus Causation: Multi-brain Neuroscience Needs Explanation.
Factors influencing consumer choice: a study of apparel and sustainable cues from Canadian and Indian consumers’ perspectives
Learning Task Decomposition with Ordered Memory Policy Network.
The neural correlates of ongoing conscious thought.
Stochastic Computing: Techniques and Applications
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
SoftSeg: Advantages of soft versus binary training for image segmentation.
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.
Learning to Schedule Heuristics in Branch-and-Bound.
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Implicit Regularization via Neural Feature Alignment
AISTATS 2021
(2021-03-18)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2008.00938 (2020-08-03)]A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
Tensor Networks for Probabilistic Sequence Modeling
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence.
AISTATS 2021
(2021-03-18)
proceedings.mlr.pressPDF[Also on arXiv: Optimization and Control (2020-02-24)]Strengthening the culture of public health surveillance and population health monitoring
Price discounting as a hidden risk factor of energy drink consumption
Diffusion Kurtosis Imaging of the neonatal Spinal Cord: design and application of the first processing pipeline implemented in Spinal Cord Toolbox
Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Image Dehazing in Disproportionate Haze Distributions
Accounting for Variance in Machine Learning Benchmarks
MLsys 2021 - 4th Conference on Machine Learning and Systems
(2021-03-15)
proceedings.mlsys.orgPDF[Also on arXiv preprint arXiv:2103.03098 (2021-03-01)]Scaleable input gradient regularization for adversarial robustness
Non-linearity matters: a deep learning solution to generalization of hidden brain patterns across population cohorts
Local Data Debiasing for Fairness Based on Generative Adversarial Training
Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification
Staying Ahead of the Epidemiologic Curve: Evaluation of the British Columbia Asthma Prediction System (BCAPS) During the Unprecedented 2018 Wildfire Season.
Electro-clinical features in epileptic children with chromosome 15q duplication syndrome.
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning.
LOCO: Adaptive exploration in reinforcement learning via local estimation of contraction coefficients
Resolving Causal Confusion in Reinforcement Learning via Robust Exploration
Pretraining Reward-Free Representations for Data-Efficient Reinforcement Learning
Parallel inference of hierarchical latent dynamics in two-photon calcium imaging of neuronal populations
A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes' interactions points to Neutrophil extracellular traps as mediators of thrombosis in COVID-19.
Training a First-Order Theorem Prover from Synthetic Data.
Meta Learning Black-Box Population-Based Optimizers.
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay.
Successor Feature Sets: Generalizing Successor Representations Across Policies
Predictive learning as a network mechanism for extracting low-dimensional latent space representations.
Neural Production Systems
Functional specialization within the inferior parietal lobes across cognitive domains
Interpretable Multi-Modal Hate Speech Detection.
Online Adversarial Attacks.
Coordination Among Neural Modules Through a Shared Global Workspace.
Summarizing Relevant Parts from Technical Videos
Automatic Mining of Opinions Expressed About APIs in Stack Overflow
Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds
Les Cahiers du GERAD
(2021-03-01)
www.gerad.ca[LATEST on arXiv preprint arXiv:2103.06953 (2021-03-11)]Bayesian latent multi-state modeling for nonequidistant longitudinal electronic health records.
Integrated inbound train split and load planning in an intermodal railway terminal
Towards robust and replicable sex differences in the intrinsic brain function of autism
QBSUM: A large-scale query-based document summarization dataset from real-world applications
Computer Speech & Language
(2021-03-01)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:2010.14108 (2020-10-27)]Accelerating data filtering for database using FPGA
Efficient and Effective Dimension Control in Automotive Applications
2021-02
Toward Causal Representation Learning
Scale-invariant localization using quasi-semantic object landmarks
Image Completion via Inference in Deep Generative Models
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times
Understanding and Mitigating Accuracy Disparity in Regression
Structural and developmental principles of neuropil assembly in C. elegans
From generative models to generative passages: A computational approach to (neuro)phenomenology
Spinal Cord Morphology in Degenerative Cervical Myelopathy Patients; Assessing Key Morphological Characteristics Using Machine Vision Tools.
Towards Causal Representation Learning
Deep ReLU Networks Preserve Expected Length.
Interacting brains revisited: A cross-brain network neuroscience perspective
Model-Invariant State Abstractions for Model-Based Reinforcement Learning.
Autobots: Latent Variable Sequential Set Transformers
Latent Variable Nested Set Transformers & AutoBots.
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective.
Benefits of Linear Conditioning with Metadata for Image Segmentation
SVRG Meets AdaGrad: Painless Variance Reduction.
Concurrent prescriptions for opioids and benzodiazepines and risk of opioid overdose: protocol for a retrospective cohort study using linked administrative data.
Mining API Usage Scenarios from Stack Overflow
A Strategic Markovian Traffic Equilibrium Model for Capacitated Networks
Bridging the Gap Between Adversarial Robustness and Optimization Bias
DEUP: Direct Epistemic Uncertainty Prediction
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition
A General Framework for the Derandomization of PAC-Bayesian Bounds
The Locomotive Assignment Problem with Distributed Power at the Canadian National Railway Company
Domain Adversarial Reinforcement Learning.
Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata
A Generative Model for Hallucinating Diverse Versions of Super Resolution Images.
Multimodal data visualization, denoising and clustering with integrated diffusion.
ivadomed: A Medical Imaging Deep Learning Toolbox
A Machine Learning Approach to Integral Field Unit Spectroscopy Observations: II. HII Region LineRatios
Central Bank Digital Currency with Asymmetric Privacy
Are Multi-Language Design Smells Fault-Prone? An Empirical Study
ACM Transactions on Software Engineering and Methodology
(2021-02-11)
dl.acm.org[Also on arXiv preprint arXiv:2010.14331 (2020-10-27)]HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Benefits of Linear Conditioning for Segmentation using Metadata
Medical Imaging with Deep Learning
(2021-02-09)
dblp.uni-trier.dePDF[LATEST on arXiv: Computer Vision and Pattern Recognition (2021-02-18)]CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation
Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study
Design and implementation of a modular interior-point solver for linear optimization
Quantifying the effect of experimental perturbations at single-cell resolution.
Structured Sparsity Inducing Adaptive Optimizers for Deep Learning
Analyzing the Contribution of Ethical Charters to Building the Future of Artificial Intelligence Governance
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems.
AAAI 2021
(2021-02-06)
researchportal.bath.ac.uk[LATEST on arXiv preprint arXiv:2103.07785 (2021-03-13)]Variance Penalized On-Policy and Off-Policy Actor-Critic.
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services.
Metrics and continuity in reinforcement learning
Smart Futures based Resource Trading and Coalition Formation for Real-time Mobile Data Processing
Self-Supervised Equivariant Scene Synthesis from Video
Human attachments shape interbrain synchrony toward efficient performance of social goals.
Task dependent deep LDA pruning of neural networks
Computer Vision and Image Understanding
(2021-02-01)
www.sciencedirect.comPDF[Also on arXiv: Computer Vision and Pattern Recognition (2020-11-24)]Task Similarity Estimation Through Adversarial Multitask Neural Network
Prediction, Not Association, Paves the Road to Precision Medicine.
Enabling Secure Trustworthiness Assessment and Privacy Protection in Integrating Data for Trading Person-Specific Information
2021-01
Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems
HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data.
Training neural networks to recognize speech increased their correspondence to the human auditory pathway but did not yield a shared hierarchy of acoustic features
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm
A systematic analysis of ICSD-3 diagnostic criteria and proposal for further structured iteration.
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes
CVPR 2021
(2021-01-26)
openaccess.thecvf.comPDF[LATEST on arXiv preprint arXiv:2101.10994 (2021-01-26)]COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Author response: Functional specialization within the inferior parietal lobes across cognitive domains
Horizontal gene transfer and recombination analysis of SARS-CoV-2 genes helps discover its close relatives and shed light on its origin.
Topological analysis of single-cell data reveals shared glial landscape of macular degeneration and neurodegenerative diseases
An Exact Algorithmic Framework for a Class of Mixed-Integer Programs with Equilibrium Constraints
Multilevel Approaches for the Critical Node Problem
HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis
Learning from unexpected events in the neocortical microcircuit
Investigating design anti-pattern and design pattern mutations and their change- and fault-proneness
Inherent privacy limitations of decentralized contact tracing apps.
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning.
Spatial correspondence of spinal cord white matter tracts using diffusion tensor imaging, fibre tractography, and atlas-based segmentation
Deep learning identifies partially overlapping subnetworks in the human social brain
COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application.
Systematic detection of brain protein-coding genes under positive selection during primate evolution and their roles in cognition.
Knowledge-Enhanced Top-K Recommendation in Poincar\'e Ball.
Auditory cortex supports verbal working memory capacity.
Reduced axon caliber in the associative striatum of the Sapap3 knockout mouse
Fairness over time in dynamic resource allocation with an application in Healthcare
Mass-spectrometry analysis of the human pineal proteome during night and day and in autism.
Attention Based Pruning for Shift Networks
ICPR 2021
(2021-01-10)
hal.archives-ouvertes.frPDF[Also on arXiv preprint arXiv:1905.12300 (2019-05-29)]Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Geo-Spatiotemporal Features and Shape-Based Prior Knowledge for Fine-grained Imbalanced Data Classification
IJCAI 2021
(2021-01-07)
hal.archives-ouvertes.frPDF[LATEST on arXiv preprint arXiv:2103.11285 (2021-03-21)]Recurrent disease progression networks for modelling risk trajectory of heart failure.
Pump scheduling in drinking water distribution networks with an LP/NLP-based branch and bound
Learning chordal extensions
Journal of Global Optimization
(2021-01-04)
link.springer.com[Also on arXiv preprint arXiv:1910.07600 (2019-10-16)][Also on Les Cahiers du GERAD (2019-10-01)]On-the-Fly Attention Modularization for Neural Generation
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias.
Using Artificial Intelligence to Visualize the Impacts of Climate Change
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters
Democratising the Digital Revolution: The Role of Data Governance
On Evaluating Session-Based Recommendation with Implicit Feedback.
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error
AI and Health Law
Is Late Propagation a Harmful Code Clone Evolutionary Pattern? An Empirical Study.
Hybrid Harmony: A Multi-Person Neurofeedback Application for Interpersonal Synchrony
Low-Complexity Construction of Polar Codes Based on Genetic Algorithm
Toward Tweet-Mining Framework for Extracting Terrorist Attack-Related Information and Reporting
Impact of Aliasing on Generalization in Deep Convolutional Networks
ICCV 2021
(2021-01-01)
openaccess.thecvf.comPDF[LATEST on arXiv preprint arXiv:2108.03489 (2021-08-07)]Practical product sampling for single scattering in media
A Novel and Dedicated Machine Learning Model for Malware Classification.
Processing differences among irregular inflection classes
The Learnability of Goal-directedness in Jazz Music
Structural Inductive Biases in Emergent Communication
Proceedings of the Annual Meeting of the Cognitive Science Society
(2021-01-01)
escholarship.org[Also on arXiv: Computation and Language (2020-02-04)]Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
Individual Fairness in Kidney Exchange Programs.
Self-Supervised Attention-Aware Reinforcement Learning.
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery.
TDprop: Does Adaptive Optimization With Jacobi Preconditioning Help Temporal Difference Learning?
Fast And Slow Learning Of Recurrent Independent Mechanisms
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples.
ICCV 2021
(2021-01-01)
openaccess.thecvf.comPDF[LATEST on arXiv preprint arXiv:2104.13963 (2021-04-28)]Learning with Gradient Descent and Weakly Convex Losses.
AISTATS 2021
(2021-01-01)
proceedings.mlr.press[LATEST on arXiv preprint arXiv:2101.04968 (2021-01-13)]Editorial: Social Interaction in Neuropsychiatry
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?
Research Papers in Economics
(2021-01-01)
ideas.repec.org[LATEST on arXiv preprint arXiv:2101.10249 (2021-01-13)]Generative Compositional Augmentations for Scene Graph Prediction
Evaluating the Integration of One Health in Surveillance Systems for Antimicrobial Use and Resistance: A Conceptual Framework.
Training Binarized Neural Networks using Ternary Multipliers
Applying PySCMGroup to Breast Cancer Biomarkers Discovery
Hardware-Aware Design for Edge Intelligence
Emergent Communication under Competition.
Autonomous Agents and Multi-Agent Systems
(2021-01-01)
dl.acm.org[LATEST on arXiv preprint arXiv:2101.10276 (2021-01-25)]Personalized Medicine for OSA Syndrome in a Nutshell: Conceptual Clarification for Integration.
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection Approach.
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
Learning Intuitive Physics with Multimodal Generative Models.
Learning Goal Conditioned Socially Compliant Navigation From Demonstration Using Risk-Based Features
Les trois cultures de la psychiatrie computationnelle
Asynchronous Gradient Push
Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor
Explainability and Interpretability: Keys to Deep Medicine
The role of case importation in explaining differences in early SARS-CoV-2 transmission dynamics in Canada-A mathematical modeling study of surveillance data.
A note on the Lasserre hierarchy for different formulations of the maximum independent set problem
Signal diffusion along connectome gradients and inter-hub routing differentially contribute to dynamic human brain function.
Incorporating dynamic flight network in SEIR to model mobility between populations
Applied Network Science
(2021-01-01)
appliednetsci.springeropen.com[Also on arXiv preprint arXiv:2010.01408 (2020-10-03)]GraphMix: Improved Training of GNNs for Semi-Supervised Learning.
Generative lesion pattern decomposition of cognitive impairment after stroke.
Brain communications
(2021-01-01)
academic.oup.com[Also on Social Science Research Network (2020-09-29)][Also on bioRxiv (2020-08-24)]Profiling Chromatin Landscape at High Resolution and Throughput with 2C-ChIP.
FDG-PET/CT Radiomics Models for The Early Prediction of Locoregional Recurrence in Head and Neck Cancer
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Tabu search for the time-dependent vehicle routing problem with time windows on a road network
Safe Option-Critic: Learning Safety in the Option-Critic Architecture
Knowledge Engineering Review
(2021-01-01)
www.cambridge.orgPDF[Also on arXiv preprint arXiv:1807.08060 (2018-07-21)]2020-12
Robust Asymmetric Learning in POMDPs.
Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing.
Optimizing Deeper Transformers on Small Datasets
Detecting High-Engaging Breaking News Rumors in Social Media
Supervised learning on phylogenetically distributed data.
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease
Taxonomy of multimodal self-supervised representation learning.
On self-supervised multi-modal representation learning: An application to Alzheimer's disease
Towards Continual Reinforcement Learning: A Review and Perspectives.
Identification of COVID-19-relevant transcriptional regulatory networks and associated kinases as potential therapeutic targets
IIRC: Incremental Implicitly-Refined Classification
Cross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals
Functional idiosyncrasy has a shared topography with group-level connectivity alterations in autism
Multi-player games in the era of machine learning
Phylogenetic Manifold Regularization: A semi-supervised approach to predict transcription factor binding sites
Look-ahead Meta Learning for Continual Learning
The default network of the human brain is associated with perceived social isolation
Annealed Importance Sampling with q-Paths.
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Directional Graph Networks. (arXiv:2010.02863v2 [cs.LG] UPDATED)
arXiv Computer Science
(2020-12-11)
Spatiotemporal Features Improve Fine-Grained Butterfly Image Classification
NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning
(2020-12-11)
www.climatechange.aiPDFUncovering the Folding Landscape of RNA Secondary Structure Using Deep Graph Embeddings
DUGRA: Dual-Graph Representation Learning for Health Information Networks
Extendable and invertible manifold learning with geometry regularized autoencoders
Ensemble Squared: A Meta AutoML System.
Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation
Histone H3.3G34-Mutant Interneuron Progenitors Co-opt PDGFRA for Gliomagenesis
Decoding the neural dynamics of free choice in humans.
Domain adaptation with conditional distribution matching and generalized label shift
Extendable and invertible manifold learning with geometry regularized autoencoders
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
Sobolev Wasserstein GAN.
Deep Reinforcement and InfoMax Learning
Team Optimal Control of Coupled Major-Minor Subsystems with Mean-Field Sharing
Modeling assembly bias with machine learning and symbolic regression
Historical and cross-disciplinary trends in the biological and social sciences reveal an accelerating adoption of advanced analytics
Intervention Design for Effective Sim2Real Transfer.
Reinforcement Learning in Decentralized Stochastic Control Systems with Partial History Sharing.
Team-Optimal Solution of Finite Number of Mean-Field Coupled LQG Subsystems.
Team Optimal Control of Coupled Subsystems with Mean-Field Sharing
Autonomous navigation of stratospheric balloons using reinforcement learning.
Quantitative Equational Reasoning
Tabular: Probabilistic Inference from the Spreadsheet
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
Médecine du sommeil personnalisée et syndrome d’apnées hypopnées obstructives du sommeil : entre précision et stratification, une proposition de clarification
An Analysis of Dataset Overlap on Winograd-Style Tasks
What matters and what is possible in neuroimaging meta-analyses (of psychopathy).
Decoding Polar Codes with Reinforcement Learning
Fast reinforcement learning with generalized policy updates
Proceedings of the National Academy of Sciences of the United States of America
(2020-12-01)
europepmc.orgPDFMachine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation
EURO Journal on Transportation and Logistics
(2020-12-01)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:2010.00134 (2020-09-30)][Also on Les Cahiers du GERAD (2020-02-01)]Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Magnetic Resonance in Medicine
(2020-12-01)
nyuscholars.nyu.eduPDF[Also on arXiv preprint arXiv:2001.02518 (2020-01-06)]Learning to handle parameter perturbations in Combinatorial Optimization: An application to facility location
EURO Journal on Transportation and Logistics
(2020-12-01)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1907.05765 (2019-07-12)]Travel speed prediction based on learning methods for home delivery
Data-driven optimization model customization
2020-11
Inductive Biases for Deep Learning of Higher-Level Cognition
Automatic Detection of Flavescence Dorée Symptoms Across White Grapevine Varieties Using Deep Learning.
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks.
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies
OPTIMIZING SPARSE GRAPH NEURAL NETWORKS FOR DENSE HARDWARE
RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design.
Persistent Mixture Model Networks for Few-Shot Image Classification.
Bijective-Contrastive Estimation
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Multimodal dynamics modeling for off-road autonomous vehicles.
Geometry-Aware Universal Mirror-Prox.
On the Convergence of Continuous Constrained Optimization for Structure Learning.
SYSTEM AND METHOD FOR CONTROLLABLE MACHINE TEXT GENERATION ARCHITECTURE
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference.
An Effective Anti-Aliasing Approach for Residual Networks.
Establishing an evaluation metric to quantify climate change image realism
Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems
(2020-11-20)
digitalintelligentsiaconsultancyservices.com[Also on Machine Learning: Science and Technology (2020-04-09)][Also on arXiv preprint arXiv:1910.10143 (2019-10-22)]Bisimulation metrics and norms for real-weighted automata
Gradient Starvation: A Learning Proclivity in Neural Networks.
DelayRepay: delayed execution for kernel fusion in Python
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
IEEE Transactions on Knowledge and Data Engineering
(2020-11-16)
ieeexplore.ieee.org[Also on arXiv preprint arXiv:2011.06301 (2020-11-12)]Universal Dependencies 2.7
Approximate minimization of weighted tree automata
Using Open Source Licensing to Regulate the Assembly of LAWS: A Preliminary Analysis
Learned Equivariant Rendering without Transformation Supervision.
Differentiation independent neuroprotective role of Vcan+ oligodendrocyte precursor cells in poststroke cognitive impairment recovery
Thompson sampling for linear quadratic mean-field teams.
An Analysis of Dataset Overlap on Winograd-Style Tasks.
Affinity LCFCN: Learning to Segment Fish with Weak Supervision.
NERO: A Biomedical Named-entity (Recognition) Ontology with a Large, Annotated Corpus Reveals Meaningful Associations Through Text Embedding
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
Differential neural circuitry behind autism subtypes with imbalanced social-communicative and restricted repetitive behavior symptoms
Effectiveness of quarantine and testing to prevent COVID-19 transmission from arriving travelers
Diversity-Enriched Option-Critic.
Urban Night Scenery Reconstruction by Day-night Registration and Synthesis
Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model.
A Study of Policy Gradient on a Class of Exactly Solvable Models.
ComplexDataLab at W-NUT 2020 Task 2: Detecting Informative COVID-19 Tweets by Attending over Linked Documents.
PO-1531: Publishing linked and FAIR radiomics data in radiation oncology via ontologies and Semantic Web
Out-of-Sample Representation Learning for Knowledge Graphs.
Analysis of ABC Submission to NIST SRE 2019 CMN and VAST Challenge.
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
EMNLP 2020
(2020-11-01)
virtual.2020.emnlp.org[LATEST on arXiv preprint arXiv:2012.13978 (2020-12-27)]Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage
Learning Improvised Chatbots from Adversarial Modifications of Natural Language Feedback
Distilling Structured Knowledge for Text-Based Relational Reasoning
TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization
Deconstructing word embedding algorithms
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Recursive Top-Down Production for Sentence Generation with Latent Trees
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
An Empirical Investigation of Beam-Aware Training in Supertagging.
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Factual Error Correction for Abstractive Summarization Models.
Supervised Seeded Iterated Learning for Interactive Language Learning
Structure Aware Negative Sampling in Knowledge Graphs
RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning.
Do sequence-to-sequence VAEs learn global features of sentences?
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images Using a View-Based Representation
International Journal of Computer Vision
(2020-11-01)
link.springer.com[Also on arXiv preprint arXiv:2003.14166 (2020-03-23)]2020-10
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing.
MICRA-Net: MICRoscopy Analysis Neural Network to solve detection, classification, and segmentation from a single simple auxiliary task
Neuroimaging: into the Multiverse
deep21: a Deep Learning Method for 21cm Foreground Removal
$\texttt{deep21}$: a Deep Learning Method for 21cm Foreground Removal
Tensorpac : an open-source Python toolbox for tensor-based Phase-Amplitude Coupling measurement in electrophysiological brain signals
NutriQuébec: a unique web-based prospective cohort study to monitor the population's eating and other lifestyle behaviours in the province of Québec.
Are Multi-language Design Smells Prevalent? An Empirical Study.
Optimization for Data-Driven Learning and Control
The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach
Journal of Artificial Intelligence Research
(2020-10-27)
dblp.uni-trier.dePDF[Also on arXiv preprint arXiv:1807.04723 (2018-07-12)]LEAD: Least-Action Dynamics for Min-Max Optimization
PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments
Learning Domain Randomization Distributions for Training Robust Locomotion Policies
DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization
Implicit Variational Inference: the Parameter and the Predictor Space.
Efficient Learning in Non-Stationary Linear Markov Decision Processes.
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference
One-Shot Informed Robotic Visual Search in the Wild
Predicting Infectiousness for Proactive Contact Tracing
Beyond brain age: Empirically-derived proxy measures of mental health
Generative adversarial networks
Comment on Starke et al.: "Computing schizophrenia: ethical challenges for machine learning in psychiatry": From machine learning to student learning: pedagogical challenges for psychiatry - Corrigendum.
Zero-Shot Learning from scratch (ZFS): leveraging local compositional representations.
Stronger Transformers for Neural Multi-Hop Question Generation
NU-GAN: High resolution neural upsampling with GAN.
Explicitly Modeling Syntax in Language Model improves Generalization.
Learning to Summarize Long Texts with Memory Compression and Transfer.
Neural oscillations track natural but not artificial fast speech: Novel insights from speech-brain coupling using MEG
Learning General Transformations of Data for Out-of-Sample Extensions
Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning.
Cross-Modal Information Maximization for Medical Imaging: CMIM.
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata.
Mutations associated with neuropsychiatric conditions delineate functional brain connectivity dimensions contributing to autism and schizophrenia.
Evaluating Stochastic Rankings with Expected Exposure
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning.
A recursive framework for predicting the time-course of drug sensitivity.
Multi-agent estimation and filtering for minimizing team mean-squared error.
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Learning Meets Combinatorial Algorithms at NeurIPS2020
(2020-10-17)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:2011.06069 (2020-11-11)]Approximate information state for approximate planning and reinforcement learning in partially observed systems.
DoMoBOT: a bot for automated and interactive domain modelling
The nonsmooth landscape of phase retrieval
Transparency and reproducibility in artificial intelligence.
When Are Search Completion Suggestions Problematic
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study.
Overheating-Avoidance Remapping Scheme for Reliability Enhancement of 3D PCM Storage Systems
Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up
Towards Efficient On-Chip Learning using Equilibrium Propagation
Kidney injury molecule-1 is a potential receptor for SARS-CoV-2
Recursive Top-Down Production for Sentence Generation with Latent Trees.
Training Hardware for Binarized Convolutional Neural Network Based on CMOS Invertible Logic
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Inference and prediction diverge in biomedicine
A Fully Tensorized Recurrent Neural Network.
Advances in Asynchronous Parallel and Distributed Optimization
Proceedings of the IEEE
(2020-10-08)
ieeexplore.ieee.org[Also on arXiv preprint arXiv:2006.13838 (2020-06-24)]SACSANN: identifying sequence-based determinants of chromosomal compartments
Contact Graph Epidemic Modelling of COVID-19 for Transmission and Intervention Strategies.
Reinforcement Learning with Random Delays
A Machine-learning Approach to Integral Field Unit Spectroscopy Observations. II. H II Region Line Ratios
On the use of C# Unsafe Code Context: An Empirical Study of Stack Overflow
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
International Workshop on Machine Learning in Medical Imaging
(2020-10-04)
link.springer.com[Also on arXiv preprint arXiv:2003.09365 (2020-03-20)]A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure
Integrating Categorical Semantics into Unsupervised Domain Translation
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration
Uncertainty driven probabilistic voxel selection for image registration
Stochastic damped L-BFGS with controlled norm of the Hessian approximation
Embedding for Anomaly Detection on Health Insurance Claims
Towards a Classification of Behavioural Equivalences in Continuous-time Markov Processes.
Multi-Fact Correction in Abstractive Text Summarization
Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate
A Regression-Based Method to Synthesize Complex Arithmetic Computations on Stochastic Streams
Video Key Object Detection Network via Reinforcement Learning
Numeric Data Augmentation using Structural Constraint Wasserstein Generative Adversarial Networks
Correction to: Why public health matters today and tomorrow: the role of applied public health research.
Canadian Journal of Public Health-revue Canadienne De Sante Publique
(2020-10-01)
link.springer.comPDFHigh-Throughput VLSI Architecture for GRAND
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
2020-09
mSIMPAD: Efficient and Robust Mining of Successive Similar Patterns of Multiple Lengths in Time Series
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Grow-Push-Prune: aligning deep discriminants for effective structural network compression
Deep discriminant analysis for task-dependent compact network search
Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition
Sex-specific lesion topographies explain outcomes after acute ischemic stroke
Graph neural induction of value iteration.
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer
Optimal control of network-coupled subsystems: Spectral decomposition and low-dimensional solutions
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions
Population variability in social brain morphology:links to socioeconomic status and health disparity
Generating Multiscale Amorphous Molecular Structures Using Deep Learning: A Study in 2D
A Partially Ranked Choice Model for Large-Scale Data-Driven Assortment Optimization
Causal Inference for Recommender Systems
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model
Accelerometer-based smartphone eavesdropping
A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
Overfit Neural Networks as a Compact Shape Representation.
Graph Representation Learning
Synbols: Probing Learning Algorithms with Synthetic Datasets
Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation
Synbols: Probing Learning Algorithms with Synthetic Datasets
Landmark-Based Ensemble Learning with Random Fourier Features and Gradient Boosting
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples
Adversarial score matching and improved sampling for image generation
A normative modelling approach reveals age-atypical cortical thickness in a subgroup of males with autism spectrum disorder.
Keynote Lecture Building Knowledge For AI AgentsWith Reinforcement Learning
Exploiting Link Diversity for Performance-Aware and Repeatable Simulation in Low-Power Wireless Networks
Change Point Detection by Cross-Entropy Maximization.
Why are Some Bugs Non-Reproducible? : –An Empirical Investigation using Data Fusion–
Analysis of Modern Release Engineering Topics : – A Large-Scale Study using StackOverflow –
Practitioners’ insights on machine-learning software engineering design patterns: a preliminary study
VeRNAl: Mining RNA Structures for Fuzzy Base Pairing Network Motifs
Fixing Bias in Reconstruction-Based Anomaly Detection with Lipschitz Discriminators
Traceability Network Analysis: A Case Study of Links in Issue Tracking Systems
2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)
(2020-09-01)
dblp.uni-trier.deSENET: A Semantic Web for Supporting Automation of Software Engineering Tasks
2020 IEEE Seventh International Workshop on Artificial Intelligence for Requirements Engineering (AIRE)
(2020-09-01)
dblp.uni-trier.deOn the Effectiveness of Two-Step Learning for Latent-Variable Models
Fast greedy $$\mathcal {C}$$-bound minimization with guarantees
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA.
2020-08
Dissecting the phenotypic heterogeneity in sensory features in autism spectrum disorder: a factor mixture modelling approach.
Biomedical Image Analysis Challenges (BIAS) Reporting Guideline
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input
BDD-based optimization for the quadratic stable set problem
Visual Concept Reasoning Networks
Information correspondence between types of documentation for APIs
Robustesse structurelle des architectures d'apprentissage profond
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets.
How To Evaluate Your Dialogue System: Probe Tasks as an Alternative for Token-level Evaluation Metrics
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Associative Alignment for Few-shot Image Classification
Laplacian Change Point Detection for Dynamic Graphs
Do Syntax Trees Help Pre-trained Transformers Extract Information?. (arXiv:2008.09084v1 [cs.CL])
arXiv Computer Science
(2020-08-21)
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks. (arXiv:2008.08838v1 [cs.LG])
arXiv Computer Science
(2020-08-21)
Precision, Equity, and Public Health and Epidemiology Informatics - A Scoping Review.
BIAS: Transparent reporting of biomedical image analysis challenges.
Action-Based Representation Learning for Autonomous Driving
Partitioning gene-based variance of complex traits by gene score regression
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks.
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks.
Augmented base pairing networks encode RNA-small molecule binding preferences.
A Framework for Studying Reinforcement Learning and Sim-to-Real in Robot Soccer
A review of the-state-of-the-art in data-driven approaches for building energy prediction
Mastering Rate based Curriculum Learning.
Conditions for indexability of restless bandits and an algorithm to compute Whittle index.
Adaptive Learning of Tensor Network Structures
Introduction to Dynamic Stochastic Computing
Adaptive Tensor Learning with Tensor Networks
Meta-matching: a simple framework to translate phenotypic predictive models from big to small data
DeepDrummer : Generating Drum Loops using Deep Learning and a Human in the Loop.
Heterogeneous data release for cluster analysis with differential privacy
Hidden population modes in social brain morphology: Its parts are more than its sum
Statistical Evidence for Learnable Lexical Subclasses in Japanese
Distinct miRNA Profile of Cellular and Extracellular Vesicles Released from Chicken Tracheal Cells Following Avian Influenza Virus Infection.
Dimensionality and flexibility of learning in biological recurrent neural networks
Implicit Regularization in Deep Learning: A View from Function Space.
Adaptive Feature Boosting of Multi-Sourced Deep Autoencoders for Smart Grid Intrusion Detection
A Neural Network Based Approach to Domain Modelling Relationships and Patterns Recognition
Towards Queryable and Traceable Domain Models
Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework
Myeloarchitecture gradients in the human insula: Histological underpinnings and association to intrinsic functional connectivity
Optimal Local and Remote Controllers With Unreliable Uplink Channels: An Elementary Proof
Renewal Monte Carlo: Renewal Theory-Based Reinforcement Learning
A multicut outer-approximation approach for competitive facility location under random utilities
Leveraging cluster backbones for improving MAP inference in statistical relational models
2020-07
Plan2Vec: Unsupervised Representation Learning by Latent Plans
Learning for Dynamics and Control
(2020-07-31)
proceedings.mlr.pressPDF[Also on arXiv: Learning (2020-05-07)]Beyond H-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence.
Population variability in social brain morphology for social support, household size and friendship satisfaction
Inferring disease subtypes from clusters in explanation space.
Patterns of autism symptoms: hidden structure in the ADOS and ADI-R instruments
Deriving Differential Target Propagation from Iterating Approximate Inverses
Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning
Analyzing and Learning from User Interactions for Search Clarification
Operationalizing the Legal Principle of Data Minimization for Personalization
Data-Efficient Reinforcement Learning with Momentum Predictive Representations. (arXiv:2007.05929v2 [cs.LG] UPDATED)
arXiv Computer Science
(2020-07-24)
BabyAI 1.1.
Importation of SARS-CoV-2 following the "semaine de relache" and Quebec's (Canada) COVID-19 burden - a mathematical modeling study
Phenotypical predictors of Restless Legs Syndrome in pregnancy and their association with basal ganglia and the limbic circuits
Neuronal activity remodels the F-actin based submembrane lattice in dendrites but not axons of hippocampal neurons
Survey on Applications of Multi-Armed and Contextual Bandits
Slot Contrastive Networks: A Contrastive Approach for Representing Objects.
Neurocognitive patterns dissociating semantic processing from executive control are linked to more detailed off-task mental time travel.
GRADE: Graph Dynamic Embedding.
Molecular signatures of cognition and affect
Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP
Binary Ostensibly‐Implicit Trees for Fast Collision Detection
Building reproducible, reusable, and robust machine learning software
S2RMs: Spatially Structured Recurrent Modules.
Data-Efficient Reinforcement Learning with Momentum Predictive Representations
What can I do here? A Theory of Affordances in Reinforcement Learning
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference
Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics
Representations for Stable Off-Policy Reinforcement Learning
An end-to-end approach for the verification problem: learning the right distance
Universal Equivariant Multilayer Perceptrons
Latent Variable Modelling with Hyperbolic Normalizing Flows
Inductive Relation Prediction by Subgraph Reasoning
On Variational Learning of Controllable Representations for Text without Supervision
Constrained Markov Decision Processes via Backward Value Functions
Invariant Causal Prediction for Block MDPs
Online Learned Continual Compression with Adaptive Quantization Modules
Interference and Generalization in Temporal Difference Learning
Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Continuous Graph Neural Networks
A Graph to Graphs Framework for Retrosynthesis Prediction
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
Linear Lower Bounds and Conditioning of Differentiable Games
Stochastic Hamiltonian Gradient Methods for Smooth Games
Countering Language Drift with Seeded Iterated Learning
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Learning to Navigate in Synthetically Accessible Chemical Space Using Reinforcement Learning
Revisiting Fundamentals of Experience Replay
ICML 2020
(2020-07-12)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2007.06700 (2020-07-13)]Small-GAN: Speeding up GAN Training using Core-Sets
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
Perceptual Generative Autoencoders
Generative Graph Perturbations for Scene Graph Prediction.
Feature Statistics Guided Efficient Filter Pruning.
On the Social and Technical Challenges of Web Search Autosuggestion Moderation.
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract).
Robust motion in-betweening
ACM Transactions on Graphics
(2020-07-08)
dl.acm.org[LATEST on arXiv preprint arXiv:2102.04942 (2021-02-09)]Superior breast cancer metastasis risk stratification using an epithelial-mesenchymal-amoeboid transition gene signature
Directional sources and listeners in interactive sound propagation using reciprocal wave field coding
A Weakly Supervised Region-Based Active Learning Method for COVID-19 Segmentation in CT Images.
3D Shape Reconstruction from Vision and Touch
NEURIPS 2020
(2020-07-07)
papers.nips.ccPDF[LATEST on arXiv: Computer Vision and Pattern Recognition (2020-07-07)]The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Sharp Analysis of Smoothed Bellman Error Embedding.
Attenuated Anticipation of Social and Monetary Rewards in Autism Spectrum Disorders
Comparing Audience Appreciation to Fact-Checking Across Political Communities on Reddit
Automated Personalized Feedback Improves Learning Gains in An Intelligent Tutoring System
TDprop: Does Jacobi Preconditioning Help Temporal Difference Learning?
A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Deep interpretability for GWAS.
A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genes’ interactions points to Neutrophil Extracellular Traps as mediators of thrombosis in COVID-19
Software Engineering Event Modeling using Relative Time in Temporal Knowledge Graphs.
Development of a polygenic risk score to improve screening for fracture risk: A genetic risk prediction study
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
A Linear-Complexity Channel-Independent Code Construction Method for List Sphere Polar Decoder
Counterexamples on the Monotonicity of Delay Optimal Strategies for Energy Harvesting Transmitters
Bringing proportional recovery into proportion: Bayesian modelling of post-stroke motor impairment.
Hemispheric specialization within the inferior parietal lobe across cognitive domains
Practical Product Path Guiding Using Linearly Transformed Cosines
Probing Linguistic Systematicity
Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning.
Legends: Folklore on Reddit
Accelerating Deep Learning Systems via Critical Set Identification and Model Compression
How Do Open Source Software Contributors Perceive and Address Usability? Valued Factors, Practices, and Challenges
IEEE Software
(2020-07-01)
ieeexplore.ieee.org[LATEST on arXiv preprint arXiv:2007.06654 (2020-07-13)]EvoLSTM: context-dependent models of sequence evolution using a sequence-to-sequence LSTM.
Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT
Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions.
Learning an Unreferenced Metric for Online Dialogue Evaluation.
Interactive Machine Comprehension with Information Seeking Agents.
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences
Adversarial Example Games.
SVRG for Policy Evaluation with Fewer Gradient Evaluations.
Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition.
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach
Compositional Generalization by Factorizing Alignment and Translation
The need for privacy with public digital contact tracing during the COVID-19 pandemic
2020-06
Semi-supervised Sequential Generative Models
Medical Imaging with Deep Learning: MIDL 2020 - Short Paper Track.
Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems
Learning to Fix Build Errors with Graph2Diff Neural Networks
Machine learning analysis identifies genes differentiating triple negative breast cancers.
Hybrid Models for Learning to Branch
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools
Shared and unique brain network features predict cognition, personality and mental health in childhood
Graph Policy Network for Transferable Active Learning on Graphs
gRemote: API-Forwarding Powered Cloud Rendering
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Rethinking Distributional Matching Based Domain Adaptation.
Image-to-image Mapping with Many Domains by Sparse Attribute Transfer
Advantages of biologically-inspired adaptive neural activation in RNNs during learning.
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. (arXiv:2002.09127v2 [cs.CL] UPDATED)
arXiv Computer Science
(2020-06-19)
Learning to Prove from Synthetic Theorems.
The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media
Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations.
Enhancing Few-Shot Image Classification with Unlabelled Examples
Learning Lexical Subspaces in a Distributional Vector Space
Intelligent Tools for Precision Public Health.
Untangling tradeoffs between recurrence and self-attention in neural networks
Towards an Unsupervised Method for Model Selection in Few-Shot Learning
Cross-layer communication over fading channels with adaptive decision feedback
Design and implementation of a modular interior-point solver for linear optimization
Supervised Visualization for Data Exploration
Gradient Estimation with Stochastic Softmax Tricks
Chaotic Continual Learning
Improved Few-Shot Visual Classification
PatchUp: A Regularization Technique for Convolutional Neural Networks
Uncovering the Folding Landscape of RNA Secondary Structure with Deep Graph Embeddings
La-MAML: Look-ahead Meta Learning for Continual Learning
A Brief Look at Generalization in Visual Meta-Reinforcement Learning
Evaluating Logical Generalization in Graph Neural Networks.
Learning Causal Models Online.
Deep Learning-based Stress Determinator for Mouse Psychiatric Analysis using Hippocampus Activity.
To Each Optimizer a Norm, To Each Norm its Generalization.
Learning normalizing flows from Entropy-Kantorovich potentials
Deterministic Gaussian Averaged Neural Networks.
Standardised convolutional filtering for radiomics.
Multi-agent Assortment Optimization in Sequential Matching Markets
Provable Guarantees for General Two-sided Sequential Matching Markets
Dissociating memory accessibility and precision in forgetting
Fast Thresholded SC-Flip Decoding of Polar Codes
NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines.
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Leveraging Subword Embeddings for Multinational Address Parsing
2020 6th IEEE Congress on Information Science and Technology (CiSt)
(2020-06-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:2006.16152 (2020-06-29)]Dark control: The default mode network as a reinforcement learning agent.
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Equivariant Maps for Hierarchical Structures.
Santé publique de précision : Rêve ou réalité?
Precision public health: Dream or reality?
Codon arrangement modulates MHC-I peptides presentation
Operation Merging for Hardware Implementations of Fast Polar Decoders
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models.
Coping With Simulators That Don't Always Return.
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2003.12908 (2020-03-28)]The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Deep Active Learning: Unified and Principled Method for Query and Training
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1910.04928 (2019-10-11)]The Neurobiology of Social Distance.
LAMPS: an analysis pipeline for sequence-specific ligation-mediated amplification reads.
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms.
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2003.12239 (2020-03-27)]Value Preserving State-Action Abstractions
Tensorized Random Projections
GAIT: A Geometric Approach to Information Theory
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation.
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1910.04920 (2019-10-11)]Bayesian Neural Networks.
Surprisal-Triggered Conditional Computation with Neural Networks
Training End-to-End Analog Neural Networks with Equilibrium Propagation.
Graph Policy Network for Transferable Active Learning on Graphs
A Rare Moment of Cross-Partisan Consensus: Elite and Public Response to the COVID-19 Pandemic in Canada
Restless bandits: Indexability and computation of Whittle index
VoronoiNet: General Functional Approximators With Local Support
TimelyRep: Timing deterministic replay for Android web applications
Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex
A tutorial on recursive models for analyzing and predicting path choice behavior
EURO Journal on Transportation and Logistics
(2020-06-01)
www.sciencedirect.com[Also on arXiv preprint arXiv:1905.00883 (2019-05-02)]Machine Learning for COVID-19 needs global collaboration and data-sharing
CLAREL: Classification via Retrieval Loss for Zero-Shot Learning
HNHN: Hypergraph Networks With Hyperedge Neurons
Multi-Image Super-Resolution for Remote Sensing Using Deep Recurrent Networks
2020-05
Disentangling presentation and processing times in the brain
Social physiology" for psychiatric semiology: How TTOM can initiate an interactive turn for computational psychiatry?
An ILP Model for Multi-Label MRFs With Connectivity Constraints
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Self-supervised Robust Object Detectors from Partially Labelled datasets.
Minimisation in Logical Form.
Inferring multimodal latent topics from electronic health records
CNN to detect differences in cerebral cortical anatomy of left- and right- handers
Lessons in resilience: Canada's digital media ecosystem and the 2019 election
Failure to follow medication changes made at hospital discharge is associated with adverse events in 30 days
Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis
An Analysis of the Adaptation Speed of Causal Models
AISTATS 2020
(2020-05-18)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2005.09136 (2020-05-18)]COVI White Paper.
Universal Dependencies 2.6
The Human Dynamic Clamp Reveals the Fronto-Parietal Network Linking Real-Time Social Coordination and Cognition.
Predictive Pattern Classification Can Distinguish Gender Identity Subtypes from Behavior and Brain Imaging.
Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks
Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation
Low-Dimensional Dynamics of Encoding and Learning in Recurrent Neural Networks
Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation
Differential functional neural circuitry behind autism subtypes with marked imbalance between social-communicative and restricted repetitive behavior symptom domains
An Empirical Study of Human Behavioral Agents in Bandits, Contextual Bandits and Reinforcement Learning
Delayed Rejection Metropolis Light Transport
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL
Modeling Route Choice with Real-Time Information: Comparing the Recursive and Non-Recursive Models.
Young Chinese Consumers’ Choice between Product-Related and Sustainable Cues—The Effects of Gender Differences and Consumer Innovativeness
Decoupling of Gd–Cr magnetism and giant magnetocaloric effect in layered honeycomb tellurate GdCrTeO6
META-Learning State-based Eligibility Traces for More Sample-Efficient Policy Evaluation
TRACKING AND PREDICTING COVID-19 RADIOLOGICAL TRAJECTORY USING DEEP LEARNING ON CHEST X-RAYS: INITIAL ACCURACY TESTING
Option-Critic in Cooperative Multi-agent Systems
Gifting in Multi-Agent Reinforcement Learning
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry
Two-Step Sound Source Separation: Training On Learned Latent Targets
Two-Step Sound Source Separation: Training On Learned Latent Targets
Lookahead Converges to Stationary Points of Smooth Non-convex Functions
Simplified Dynamic SC-Flip Polar Decoding
Using Speech Synthesis to Train End-To-End Spoken Language Understanding Models
Words aren’t enough, their order matters: on the robustness of grounding visual referring expressions
Deep Geometric Knowledge Distillation with Graphs
ICASSP 2020
(2020-05-04)
hal.archives-ouvertes.frPDF[Also on arXiv preprint arXiv:1911.03080 (2019-11-08)]RISC-V Barrel Processor for Accelerator Control
An Efficient Software List Sphere Decoder for Polar Codes
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
View-Invariant Loop Closure with Oriented Semantic Landmarks
∇SLAM: Dense SLAM meets Automatic Differentiation
De-Aliasing States In Dialogue Modelling With Inverse Reinforcement Learning
Machine and deep learning methods for radiomics.
A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
In-Hardware Training Chip Based on CMOS Invertible Logic for Machine Learning
Remote Estimation Over a Packet-Drop Channel With Markovian State
General Principles of Gene Dosage Effects on Brain Structure
What Can Machine Learning Do for Psychiatry
An Efficient Transport Estimator for Complex Layered Materials
Local Bases for Model‐reduced Smoke Simulations
$${\textsf {SecDM}}$$SecDM : privacy-preserving data outsourcing framework with differential privacy
Depth Prediction for Monocular Direct Visual Odometry
Route choice behaviour and travel information in a congested network: Static and dynamic recursive models
Systems Consolidation Impairs Behavioral Flexibility
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization
2020-04
Locality and Compositionality in Zero-Shot Learning
SYSTEM AND METHOD FOR CROSS-DOMAIN TRANSFERABLE NEURAL COHERENCE MODEL
SloMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Autism spectrum heterogeneity: fact or artifact?
LEARNING EXECUTION THROUGH NEURAL CODE FUSION
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
Conditional Learning of Fair Representations
Spike-based causal inference for weight alignment
On the interaction between supervision and self-play in emergent communication
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation
Language GANs Falling Short
Reinforced active learning for image segmentation
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Gradient-Based Neural DAG Learning
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
On Bonus Based Exploration Methods In The Arcade Learning Environment
Learning the Arrow of Time for Problems in Reinforcement Learning
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation.
sistemas e métodos para realizar otimização bayesiana
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Interpretable Neuron Structuring with Graph Spectral Regularization.
Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise
Preface to the special issue of INFOR on “continuous optimization and applications in machine learning and data analytics”
Predictive inference for travel time on transportation networks
Prediction intervals for travel time on transportation networks
(venue unknown)
(2020-04-23)
Glossary for public health surveillance in the age of data science
Inference for travel time on transportation networks
Meta-analytic evidence for a joint neural mechanism underlying response inhibition and state anger.
ArguLens: Anatomy of Community Opinions On Usability Issues Using Argumentation Models
Experience Grounds Language
FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation
Two-Step Sound Source Separation: Training on Learned Latent Targets (Presentation)
Role-Wise Data Augmentation for Knowledge Distillation.
Neuropsychiatric copy number variants exert shared effects on human brain structure
Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.
Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims
Efficient Sphere Polar Decoding via Synchronous Determination
Analysing brain networks in population neuroscience: a case for the Bayesian philosophy
Hierarchical Bayesian Optimization of Spatiotemporal Neurostimulations for Targeted Motor Outputs
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
Can EEG and MEG detect signals from the human cerebellum
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
Improved PAC-Bayesian Bounds for Linear Regression
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images
Memory Augmented Graph Neural Networks for Sequential Recommendation
Learning General Latent-Variable Graphical Models with Predictive Belief Propagation
Gifting in Multi-Agent Reinforcement Learning (Student Abstract)
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction.
Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract)
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning
Options of Interest: Temporal Abstraction with Interest Functions
Detecting Semantic Anomalies
Combating False Negatives in Adversarial Imitation Learning (Student Abstract)
BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices.
METHOD AND APPARATUS FOR WIRELESSLY COMMUNICATING OVER A NOISY CHANNEL WITH A VARIABLE CODEWORD LENGTH POLAR CODE TO IMPROVE TRANSMISSION CAPACITY
Fast protein database as a service with kAAmer
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
A Multimodal Non-Intrusive Stress Monitoring from the Pleasure-Arousal Emotional Dimensions
Proceedings of the Edge Intelligence Workshop, Montréal, Canada, March 2--3, 2020
Decision letter: Population coupling predicts the plasticity of stimulus responses in cortical circuits
Machine learning-based models of sawmills for better wood allocation planning
High-Throughput Low-Latency Encoder and Decoder for a Class of Generalized Reed–Solomon Codes for Short-Reach Optical Communications
GitHub Repositories with Links to Academic Papers: Open Access, Traceability, and Evolution.
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted Classes
The Covering-Assignment Problem for swarm-powered ad-hoc clouds: A distributed 3D mapping use-case
Les Cahiers du GERAD
(2020-04-01)
www.gerad.ca[LATEST on arXiv preprint arXiv:2004.11837 (2020-04-21)]Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex.
2020-03
Both New and Chronic Potentially Inappropriate Medications Continued at Hospital Discharge Are Associated With Increased Risk of Adverse Events.
Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
Planning as Inference in Epidemiological Models
Countering Language Drift with Seeded Iterated Learning
Multi-scale network regression for brain-phenotype associations.
On-the-Fly Adaptation of Source Code Models using Meta-Learning
On challenges in training recurrent neural networks
Towards Understanding Generalization in Gradient-Based Meta-Learning
Learning to Play Soccer by Reinforcement and Applying Sim-to-Real to Compete in the Real World
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
Object-Centric Image Generation from Layouts.
On the Morality of Artificial Intelligence [Commentary]
Invariant Causal Prediction for Block MDPs.
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
DIBS: Diversity inducing Information Bottleneck in Model Ensembles. (arXiv:2003.04514v1 [cs.LG])
arXiv Computer Science
(2020-03-11)
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. (arXiv:2003.04475v1 [cs.LG])
arXiv Computer Science
(2020-03-11)
Inter-dependent Centrosomal Co-localization of the cen and ik2 cis-Natural Antisense mRNAs in Drosophila
Diversity inducing Information Bottleneck in Model Ensembles.
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Probabilistic sequential multi-objective optimization of convolutional neural networks
The Residence History Inference Problem.
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Not one model fits all: unfairness in RSFC-based prediction of behavioral data in African American
Interpreting Deep Learning Features for Myoelectric Control: A Comparison With Handcrafted Features.
Frontiers in Bioengineering and Biotechnology
(2020-03-03)
europepmc.org[Also on arXiv preprint arXiv:1912.00283 (2019-11-30)]A cross-national study of young female consumer behaviour, innovativeness and apparel evaluation: China and India
Curriculum By Texture.
Hemispheric specialization within the human inferior parietal lobe across cognitive domains
Asynchronous Gradient-Push
Tensor Networks for Language Modeling.
RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning.
Benchmarking Graph Neural Networks
Adversarial Attacks and Defenses in Deep Learning
10,000 social brains: sex differentiation in human brain anatomy
Systematic approach to provide building occupants with feedback to reduce energy consumption
Detecting breaking news rumors of emerging topics in social media
Joint location and pricing within a user-optimized environment
The Hanabi Challenge: A New Frontier for AI Research
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting
2020-02
Machine learning analysis of exome trios to contrast the genomic architecture of autism and schizophrenia
The importance of transparency and reproducibility in artificial intelligence research
PAC-Bayes and Domain Adaptation
Policy Evaluation Networks.
Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models
Fasting alters the gut microbiome with sustained blood pressure and body weight reduction in metabolic syndrome patients
RADICL-seq identifies general and cell type-specific principles of genome-wide RNA-chromatin interactions
Scalable Multi-Agent Inverse Reinforcement Learning via Actor-Attention-Critic
Automatic generation of specialized direct convolutions for mobile GPUs
High-level hardware feature extraction for GPU performance prediction of stencils
Generating fast sparse matrix vector multiplication from a high level generic functional IR
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.
On the impressive performance of randomly weighted encoders in summarization tasks.
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions.
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Improving Policy-Capturing with Active Learning for Real-Time Decision Support
The Geometry of Sign Gradient Descent
Curriculum in Gradient-Based Meta-Reinforcement Learning.
Generating Automatic Curricula via Self-Supervised Active Domain Randomization.
Binaural Beats through the Auditory Pathway: From Brainstem to Connectivity Patterns.
Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models.
Latent Variable Modelling with Hyperbolic Normalizing Flows
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
DeepFood: Food Image Analysis and Dietary Assessment via Deep Model
Team Optimal Decentralized State Estimation of Linear Stochastic Processes by Agents with Non-Classical Information Structures.
Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization.
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Medical Imaging with Deep Learning
(2020-02-07)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2002.02582 (2020-02-07)]Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces.
Input Dropout for Spatially Aligned Modalities
Provably efficient reconstruction of policy networks.
Meta-learning framework with applications to zero-shot time-series forecasting
Givs: Fine-Grained Gesture Control for Mobile Devices in Driving Environments
Exploring Structural Inductive Biases in Emergent Communication.
Deep Learning Techniques for Decoding Polar Codes
Replication Packager for 'Generating Fast Sparse Matrix Vector Multiplicationfrom a High Level Generic Functional IR'
An Efficient Software Stack Sphere Decoder for Polar Codes
Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.
Catalytic hydrolysis of microcystin-LR peptides on the surface of naturally occurring minerals
Efficient drone hijacking detection using two-step GA-XGBoost
Assessment of Extubation Readiness Using Spontaneous Breathing Trials in Extremely Preterm Neonates.
2020-01
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Journal of Machine Learning Research
(2020-01-31)
jmlr.csail.mit.eduPDF[LATEST on arXiv preprint arXiv:2002.05651 (2020-01-31)]A white-light-emitting single MOF sensor-based array for berberine homologue discrimination
fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning.
A luminescent MOF as a fluorescent sensor for the sequential detection of Al3+ and phenylpyruvic acid
Resting-state connectivity stratifies premanifest Huntington's disease by longitudinal cognitive decline rate.
Using Simulated Data to Generate Images of Climate Change
On the limits of cross-domain generalization in automated X-ray prediction
Medical Imaging with Deep Learning
(2020-01-25)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2002.02497 (2020-02-06)]Uncertainty Evaluation Metric for Brain Tumour Segmentation.
Medical Imaging with Deep Learning
(2020-01-25)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:2005.14262 (2020-05-28)]Multi-Task Self-Supervised Learning for Robust Speech Recognition
Towards Graph Representation Learning in Emergent Communication
A Cognitive Fingerprint in Human Random Number Generation
Interactive Psychometrics for Autism with the Human Dynamic Clamp: Interpersonal Synchrony from Sensory-motor to Socio-cognitive Domains
Autism spectrum disorder.
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
Ultrasensitive Assay of Alkaline Phosphatase Based on the Fluorescent Response Difference of the Metal-Organic Framework Sensor.
HIFI: estimating DNA-DNA interaction frequency from Hi-C data at restriction-fragment resolution
Systematic detection of divergent brain protein-coding genes in human evolution and their roles in cognition
Uncovering axes of variation among single-cell cancer specimens.
Partitioning gene-based variance of complex traits by gene score regression
Internal representation dynamics and geometry in recurrent neural networks.
Upstream ORF-Encoded ASDURF Is a Novel Prefoldin-like Subunit of the PAQosome.
Mathematical Optimization for Efficient and Robust Energy Networks
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
The Jazz Harmony Treebank.
Designing networks to accurately learn 2D turbulence closures
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles.
The Answer Is Blowing in the Wind: Directed Air Flow for Socially-acceptable Human-Robot Interaction.
Equivariant Networks for Hierarchical Structures
Anonymizing Social Networks
Storage and Computation of Multimorphemic Words in Turkish.
The Indian chefs process
Proceedings of Machine Learning Research
(2020-01-01)
Shaping the Narrative Arc: Information-Theoretic Collaborative DialoguePaper type: Technical Paper.
Authorship Analysis Approaches
Cybersecurity And Cybercrime Investigation
Authorship Attribution With Few Training Samples
Writeprint Mining For Authorship Attribution
Artificial Intelligence And Digital Forensics
Machine Learning for Authorship Attribution and Cyber Forensics
Criminal Information Mining
Messaging Forensics In Perspective
Analyzing Network Level Information
A Study of Condition Numbers for First-Order Optimization.
AISTATS 2020
(2020-01-01)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2012.05782 (2020-12-10)]You could have said that instead: Improving Chatbots with Natural Language Feedback.
Hybrid Models for Learning to Branch
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
On Efficiency in Hierarchical Reinforcement Learning
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Adversarial Example Games
Unsupervised Learning of Dense Visual Representations
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer.
Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia.
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Forethought and Hindsight in Credit Assignment
In search of robust measures of generalization
Reward Propagation Using Graph Convolutional Networks
Unsupervised Domain Adversarial Self-Calibration for Electromyographic-based Gesture Recognition.
Shaping the Narrative Arc: Information-Theoretic Collaborative Dialogue
The Indian Chefs Process.
UAI 2020
(2020-01-01)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2001.10657 (2020-01-29)]Learning to cooperate: Emergent communication in multi-agent navigation.
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators
Exploring uncertainty measures in deep networks for Multiple sclerosis lesion detection and segmentation.
Bulk Savings for Bulk Transfers: Minimizing the Energy-Cost for Geo-Distributed Data Centers
Mycorrhiza: Genotype Assignment using Phylogenetic Networks.
Activation Adaptation in Neural Networks.
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
Author Correction: Visualizing structure and transitions in high-dimensional biological data.
Block planning for intermodal rail: Methodology and case study
The AI Driving Olympics at NeurIPS 2018
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
An operator view of policy gradient methods.
Few-Shot Learning
Curriculum By Smoothing
Learning Graph Structure With A Finite-State Automaton Layer
Investigating the Influence of Selected Linguistic Features on Authorship Attribution using German News Articles.
Value-driven Hindsight Modelling
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
Novelty Search in Representational Space for Sample Efficient Exploration
Differentiable Causal Discovery from Interventional Data
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
Accelerating Smooth Games by Manipulating Spectral Shapes.
AISTATS 2020
(2020-01-01)
proceedings.mlr.press[LATEST on arXiv preprint arXiv:2001.00602 (2020-01-02)]Stable Policy Optimization via Off-Policy Divergence Regularization.
UAI 2020
(2020-01-01)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2003.04108 (2020-03-09)]Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation.
What Do Compressed Deep Neural Networks Forget
On Catastrophic Interference in Atari 2600 Games
On the interplay between noise and curvature and its effect on optimization and generalization
Toward Training Recurrent Neural Networks for Lifelong Learning.
2019-12
Forgetting at biologically realistic levels of neurogenesis in a large-scale hippocampal model.
Learning from Learning Machines: Optimisation, Rules, and Social Norms
Tiling Optimizations for Stencil Computations Using Rewrite Rules in Lift
On the Morality of Artificial Intelligence.
Clusters in Explanation Space: Inferring disease subtypes from model explanations.
Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition
Joint Learning of Generative Translator and Classifier for Visually Similar Classes
Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks
CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics
(2019-12-14)
hal.archives-ouvertes.frA New Smooth Approximation to the Zero One Loss with a Probabilistic Interpretation
Shaping representations through communication: community size effect in artificial learning systems
CLOSURE: Assessing Systematic Generalization of CLEVR Models.
ViGIL@NeurIPS
(2019-12-12)
ui.adsabs.harvard.eduPDF[Also on arXiv preprint arXiv:1912.05783 (2019-12-12)]Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning.
Marginalized State Distribution Entropy Regularization in Policy Optimization
Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Probabilistic Logic Neural Networks for Reasoning
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Variational Temporal Abstraction
Disjunctive cuts in Mixed-Integer Conic Optimization
Hindsight Credit Assignment
The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis
Detecting GAN generated errors.
Applying Knowledge Transfer for Water Body Segmentation in Peru.
Disjunctive cuts for mixed-integer conic optimization
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)
Finding Archetypal Spaces Using Neural Networks
Visualizing structure and transitions in high-dimensional biological data
Coupling between human brain activity and body movements: Insights from non-invasive electromagnetic recordings
Expressiveness and Learning of Hidden Quantum Markov Models
AISTATS 2019
(2019-12-01)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1912.02098 (2019-12-02)]Automated curriculum generation for Policy Gradients from Demonstrations
Unsupervised State Representation Learning in Atari
2019-11
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features.
Bisimulation for Feller-Dynkin Processes
Electronic Notes in Theoretical Computer Science
(2019-11-30)
www.sciencedirect.com[Also on arXiv preprint arXiv:1904.00976 (2019-04-01)]Deconstructing and reconstructing word embedding algorithms
Option-Critic in Cooperative Multi-agent Systems
Interactive Machine Comprehension with Information Seeking Agents. (arXiv:1908.10449v1 [cs.CL])
arXiv Computer Science
(2019-11-25)
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift.
Drivers' Awareness, Knowledge, and Use of Autonomous Driving Assistance Systems (ADAS) and Vehicle Automation
Universality and diversity in human song
Game theoretical analysis of Kidney Exchange Programs.
Online Learned Continual Compression with Stacked Quantization Module.
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Etalumis: bringing probabilistic programming to scientific simulators at scale
Etalumis: bringing probabilistic programming to scientific simulators at scale
Inductive Relation Prediction on Knowledge Graphs.
Distinct functional roles of the mirror neuron system and the mentalizing system.
Universal Dependencies 2.5
SST'19 - Software and Systems Traceability: Summary of the 10th International Workshop at the 41st International Conference on Software Engineering (ICSE), May 27, 2019
oRNAment: a database of putative RNA binding protein target sites in the transcriptomes of model species
Nonlinear chance-constrained problems with applications to hydro scheduling
Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Selective Brain Damage: Measuring the Disparate Impact of Model Pruning
Myeloarchitecture gradients in the human insula serve as blueprints for its diverse connectivity and function
Connecting First and Second Order Recurrent Networks with Deterministic Finite Automata.
Real-Time Reinforcement Learning
Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security
(2019-11-11)
dblp.uni-trier.de[Also on arXiv preprint arXiv:1906.06784 (2019-06-16)]On Posterior Collapse and Encoder Feature Dispersion in Sequence VAEs
Preventing Posterior Collapse in Sequence VAEs with Pooling
Robo-PlaNet: Learning to Poke in a Day
Integral formulations of volumetric transmittance
Non-linear sphere tracing for rendering deformed signed distance fields
Study of Constrained Network Structures for WGANs on Numeric Data Generation.
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Generalizing to unseen domains via distribution matching
Adversarial target-invariant representation learning for domain generalization
SafeWatch: A Wearable Hand Motion Tracking System for Improving Driving Safety
FID-sketch: an accurate sketch to store frequencies in data streams
Overview of the TREC 2019 Fair Ranking Track
RadioLoc: Learning Vehicle Locations with FM Signal in All-Terrain Environments
Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
A Reduction from Reinforcement Learning to No-Regret Online Learning
AISTATS 2019
(2019-11-01)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1911.05873 (2019-11-14)]Can a Gorilla Ride a Camel? Learning Semantic Plausibility from Text
Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
(2019-11-01)
www.aclweb.org[LATEST on arXiv preprint arXiv:1911.05689 (2019-11-13)]Referring Expression Generation Using Entity Profiles
Seeded self-play for language learning
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
AISTATS 2019
(2019-11-01)
ui.adsabs.harvard.edu[LATEST on arXiv: Artificial Intelligence (2019-11-12)]Ordered Memory
Deep Generative Modeling of LiDAR Data
2019-10
Deep Active Localization
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments
Conference on Robot Learning
(2019-10-29)
proceedings.mlr.pressPDF[Also on arXiv: Computer Vision and Pattern Recognition (2019-10-29)]A deep learning framework for neuroscience
Attention for Inference Compilation
Deep Probabilistic Surrogate Networks for Universal Simulator Approximation
gradSLAM: Automagically differentiable SLAM
Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.
gradSLAM: Dense SLAM meets Automatic Differentiation
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.
Amortized Rejection Sampling in Universal Probabilistic Programming
Predicting ice flow using machine learning.
Digital Democracy Project: Research memo #7 - the partisan playground
Toward Metrics for Differentiating Out-of-Distribution Sets
A language processing algorithm for predicting tactical solutions to an operational planning problem under uncertainty.
Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI
Efficient Bayesian Inference for Nested Simulators
SCG: Spotting Coordinated Groups in Social Media
Efficient Inference Amortization in Graphical Models using Structured Continuous Conditional Normalizing Flows
SGP: Spotting Groups Polluting the Online Political Discourse.
Visual short‐term memory activation patterns in adult survivors of childhood acute lymphoblastic leukemia
Connections between Support Vector Machines, Wasserstein distance and gradient-penalty GANs
Deep learning for Aerosol Forecasting.
Nash Games Among Stackelberg Leaders.
When Nash Meets Stackelberg
Actor Critic with Differentially Private Critic.
Improving Pathological Structure Segmentation via Transfer Learning Across Diseases
Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders.
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Digital Democracy Project: Research memo #6 - political advertising
Generalization Capability of the Diet Network Model on Genomic Data
PAC-Bayesian Contrastive Unsupervised Representation Learning
UAI 2019
(2019-10-10)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1910.04464 (2019-10-10)]BIAS: Transparent reporting of biomedical image analysis challenges
MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions.
Noisy Interactive Quantum Communication. (arXiv:1309.2643v2 [quant-ph] UPDATED)
arXiv Computer Science
(2019-10-07)
Recurrent Value Functions. (arXiv:1905.09562v1 [cs.LG])
arXiv Computer Science
(2019-10-07)
Exploring single-cell data with deep multitasking neural networks.
Neural Multisensory Scene Inference
Benchmarking Batch Deep Reinforcement Learning Algorithms.
VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
Boosting Image Recognition with Non-differentiable Constraints
LRP2020: Machine Learning Advantages in Canadian Astrophysics
Efficient Graph Generation with Graph Recurrent Attention Networks
Digital Democracy Project: Research memo #5 - Fact-checking, blackface and the media
Singular value automata and approximate minimization
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Deep Parametric Indoor Lighting Estimation
Metal-organic frameworks based fluorescent sensor array for discrimination of flavonoids.
Decoding the neural dynamics of oculomotor decision making in humans
Low-Dimensional Perturb-and-MAP Approach for Learning Restricted Boltzmann Machines
Augmenting learning using symmetry in a biologically-inspired domain
Improved Conditional VRNNs for Video Prediction
Batch Weight for Domain Adaptation With Mass Shift
Depth with nonlinearity creates no bad local minima in ResNets.
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
2019-09
Digital Democracy Project: Research memo #3 - Polarization and its Discontents
Digital Democracy Project: Research memo #4 - Talking Past Each Other on Immigration
Towards modular and programmable architecture search
Empowering Graph Representation Learning with Paired Training and Graph Co-Attention
MODELLING BIOLOGICAL ASSAYS WITH ADAPTIVE DEEP KERNEL LEARNING
Unsupervised Temperature Scaling: Robust Post-processing Calibration for Domain Shift
Connectivity-constrained interactive annotations for panoptic segmentation
Beyond GANs: Transforming without a Target Distribution
Fast Training of Sparse Graph Neural Networks on Dense Hardware
Adversarial Privacy Preservation under Attribute Inference Attack
Equivariant Entity-Relationship Networks
Variational inference of latent hierarchical dynamical systems in neuroscience: an application to calcium imaging data
Meta-Graph: Few shot Link Prediction via Meta Learning
Assessing Generalization in TD methods for Deep Reinforcement Learning
Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Transfer Active Learning For Graph Neural Networks
Mem2Mem: Learning to Summarize Long Texts with Memory-to-Memory Transfer
Retrieving Signals in the Frequency Domain with Deep Complex Extractors
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
Are Few-shot Learning Benchmarks Too Simple ?
Selfish Emergent Communication
SPECTRA: Sparse Entity-centric Transitions
{COMPANYNAME}11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery
HighRes-net: Multi-Frame Super-Resolution by Recursive Fusion
Equilibrium Propagation with Continual Weight Updates
Underwhelming Generalization Improvements From Controlling Feature Attribution
Learning Neural Causal Models from Unknown Interventions.
GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
Avoidance Learning Using Observational Reinforcement Learning
Safer End-to-End Autonomous Driving via Conditional Imitation Learning and Command Augmentation
Discovery of high-confidence human protein-coding genes and exons by whole-genome PhyloCSF helps elucidate 118 GWAS loci.
Revisit Policy Optimization in Matrix Form.
Learning Sparse Mixture of Experts for Visual Question Answering
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters
Kotlin∇: A shape-safe DSL for differentiable programming
Teaching modelling literacy: an artificial intelligence approach
I-MAD: A Novel Interpretable Malware Detector Using Hierarchical Transformer.
Learning Speaker Representations with Mutual Information.
INTERSPEECH 2019
(2019-09-15)
dblp.uni-trier.dePDF[Also on arXiv preprint arXiv:1812.00271 (2018-12-01)]Speech Model Pre-training for End-to-End Spoken Language Understanding
Retrieving Signals with Deep Complex Extractors
Neural Architecture Search for Class-incremental Learning.
Torchmeta: A Meta-Learning library for PyTorch
Recurrent neural networks learn robust representations by dynamically balancing compression and expansion
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging.
Modelling Working Memory using Deep Recurrent Reinforcement Learning
Inferring hierarchies of latent features in calcium imaging data
Finite Approximation of LMPs for Exact Verification of Reachability Properties
Geometric wavelet scattering on graphs and manifolds
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.
Quantifying the effect of experimental perturbations in single-cell RNA-sequencing data using graph signal processing
Exact Combinatorial Optimization with Graph Convolutional Neural Networks
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
No Press Diplomacy: Modeling Multi-Agent Gameplay
No-Press Diplomacy: Modeling Multi-Agent Gameplay
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets
Recognizable series on graphs and hypergraphs
Learning of Image Dehazing Models for Segmentation Tasks
Toward Requirements Specification for Machine-Learned Components
2019 IEEE 27th International Requirements Engineering Conference Workshops (REW)
(2019-09-01)
www.computer.orgHow Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Scattering Networks for Hybrid Representation Learning
2019-08
Digital Democracy Project: Research memo #2 - climate change
Interactive Language Learning by Question Answering
Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection
Distinction Maximization Loss: Fast, Scalable, Turnkey, and Native Neural Networks Out-of-Distribution Detection simply by Replacing the SoftMax Loss.
Isotropic Maximization Loss and Entropic Score: Fast, Accurate, Scalable, Unexposed, Turnkey, and Native Neural Networks Out-of-Distribution Detection
Online Continual Learning with Maximally Interfered Retrieval
Medical concept embedding with multiple ontological representations
Digital Democracy Project: Research memo #1 - Media, knowledge and misinformation
Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment
An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data
(2019-08-05)
ui.adsabs.harvard.edu[LATEST on arXiv preprint arXiv:1908.04032 (2019-08-12)]A thousand studies for the price of one: Accelerating psychological science with Pushkin.
Leaking your engine speed by spectrum analysis of real-Time scheduling sequences
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents.
Expressiveness of probabilistic modal logics: A gradual approach
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.
Interpolation Consistency Training for Semi-supervised Learning
2019-07
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation.
On the impressive performance of randomly weighted encoders in summarization tasks
Subspace neural physics: fast data-driven interactive simulation
Hierarchical Gating Networks for Sequential Recommendation
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Session details: Session 3A: Recommendations 1
DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases
Improved Knowledge Graph Embedding Using Background Taxonomic Information
Learning phenotypes and dynamic patient representations via RNN regularized collective non-negative tensor factorization
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift
A Comparative Analysis of Expected and Distributional Reinforcement Learning
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
Generating Character Descriptions for Automatic Summarization of Fiction.
Learning Multi-Task Communication with Message Passing for Sequence Learning
Contextualized Non-Local Neural Networks for Sequence Learning
Learning Options with Interest Functions
Leveraging Observations in Bandits: Between Risks and Benefits
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks
On-line Adaptative Curriculum Learning for GANs
Combined Reinforcement Learning via Abstract Representations
Noisy Interactive Quantum Communication
Prediction of mRNA subcellular localization using deep recurrent neural networks.
Large-scale mammalian genome rearrangements coincide with chromatin interactions.
Learning Neural Networks with Adaptive Regularization
Predictive learning extracts latent space representations from sensory observations
Machine learning and signed particles, an alternative and efficient way to simulate quantum systems
International Journal of Quantum Chemistry
(2019-07-12)