Mila is a research institute in artificial intelligence which rallies nearly 900 researchers specializing in the field of deep learning. Here is a directory of their publications since 2018.
2021-12
Deep Learning on a Data Diet: Finding Important Examples Early in Training
How to transfer algorithmic reasoning knowledge to learn new algorithms
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Predicting Molecular Conformation via Dynamic Graph Score Matching
Joint Modeling of Visual Objects and Relations for Scene Graph Generation
Learning where to learn: Gradient sparsity in meta and continual learning
Information is Power: Intrinsic Control via Information Capture
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Gradient Starvation: A Learning Proclivity in Neural Networks
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models
Continual Learning via Local Module Composition
Flexible Option Learning
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
MICo: Improved representations via sampling-based state similarity for Markov decision processes
Learning Generalized Gumbel-max Causal Mechanisms
Systematic Generalization with Edge Transformers
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning
Iterative Teaching by Label Synthesis
On the Expressivity of Markov Reward
NEURIPS 2021
(2021-12-06)
proceedings.neurips.ccPDF[Also on arXiv preprint arXiv:2111.00876 (2021-11-01)]Neural Algorithmic Reasoners are Implicit Planners
Neural Production Systems
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
The Causal-Neural Connection: Expressiveness, Learnability, and Inference
Discrete-Valued Neural Communication
Temporally Abstract Partial Models
Techniques for Symbol Grounding with SATNet
Active 3D Shape Reconstruction from Vision and Touch
Structured Denoising Diffusion Models in Discrete State-Spaces
Your head is there to move you around: Goal-driven models of the primate dorsal pathway
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity
NEURIPS 2021
(2021-12-06)
proceedings.neurips.ccPDF[Also on arXiv preprint arXiv:2107.00052 (2021-06-30)]Learning to Combine Per-Example Solutions for Neural Program Synthesis
Rethinking Graph Transformers with Spectral Attention
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation
Pretraining Representations for Data-Efficient Reinforcement Learning
A single gradient step finds adversarial examples on random two-layers neural networks
Learning to Schedule Heuristics in Branch and Bound
Test Sample Accuracy Scales with Training Sample Density in Neural Networks.
Challenges when identifying migration from geo-located Twitter data
2021-11
Embracing Channel Estimation in Multi-Packet Reception of ZigBee
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning.
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Average Outward Flux Skeletons for Environment Mapping and Topology Matching
Medial Spectral Coordinates for 3D Shape Analysis
Loneliness is linked to specific subregional alterations in hippocampus-default network co-variation.
Causes of acute respiratory failure in patients with small-vessel vasculitis admitted to intensive care units: a multicenter retrospective study.
Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Meta-topologies define distinct anatomical classes of brain tumors linked to histology and survival
MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.
The meaning of significant mean group differences for biomarker discovery.
Stochastic Extragradient: General Analysis and Improved Rates
Universal Dependencies 2.9
ZERO: Playing Mathematical Programming Games.
VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA
Bioinformatics
(2021-11-15)
pubmed.ncbi.nlm.nih.govPDF[Also on arXiv: Molecular Networks (2020-09-01)]Altered brain criticality in Schizophrenia: New insights from MEG
Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning
Reputation Gaming in Stack Overflow.
Hidden Hypergraphs, Error-Correcting Codes, and Critical Learning in Hopfield Networks.
Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach.
The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations.
Lesions in putative language and attention regions are linked to more severe strokes in patients with higher white matter hyperintensity burden
ProblĂšmes associĂ©s au dĂ©ploiement des modĂšles fondĂ©s sur lâapprentissage machine en santĂ©.
Papaya: Practical, Private, and Scalable Federated Learning.
On Assessing The Safety of Reinforcement Learning algorithms Using Formal Methods.
Utilizing graph machine learning within drug discovery and development.
Bombardier Aftermarket Demand Forecast with Machine Learning
Organizing Principles of Astrocytic Nanoarchitecture in the Mouse Cerebral Cortex
Generating Diverse Realistic Laughter for Interactive Art.
An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets.
Learned Image Compression for Machine Perception
On the Effectiveness of Interpretable Feedforward Neural Network.
Digital Ageism: Challenges and Opportunities in Artificial Intelligence for Older Adults
Author Correction: Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
Artificial intelligence and its contribution to overcome COVID-19
Sometimes We Want Ungrammatical Translations
The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution
Post-Editing Extractive Summaries by Definiteness Prediction.
Textual Time Travel: A Temporally Informed Approach to Theory of Mind.
Estimating treatment effect for individuals with progressive multiple sclerosis using deep learning
Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions
Visually Grounded Reasoning across Languages and Cultures
Opioid prescribing among new users for non-cancer pain in the USA, Canada, UK, and Taiwan: A population-based cohort study.
Managing in real-time a vehicle routing plan with time-dependent travel times on a road network
An empirical study of IoT topics in IoT developer discussions on Stack Overflow
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
The forgotten role of search queries in IR-based bug localization: an empirical study
Empirical Software Engineering
(2021-11-01)
link.springer.com[Also on arXiv preprint arXiv:2108.05341 (2021-08-11)]Improved retrieval of programming solutions with code examples using a multi-featured score
Journal of Systems and Software
(2021-11-01)
www.sciencedirect.com[Also on arXiv: Software Engineering (2021-08-05)]2021-10
TorchXRayVision: A library of chest X-ray datasets and models.
Sustainable AI: Environmental Implications, Challenges and Opportunities.
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
Learning Aggregations of Binary Activated Neural Networks with Probabilities over Representations
Towards a Taxonomy of Graph Learning Datasets.
An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles.
Shadow Program Committee Initiative: Process and Reflection
Rademacher Random Projections with Tensor Networks
Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches.
High-Throughput and Energy-Efficient VLSI Architecture for Ordered Reliability Bits GRAND
Evaluating Montréal's harm reduction interventions for people who inject drugs: protocol for observational study and cost-effectiveness analysis.
Partial order: Finding Consensus among Uncertain Feature Attributions
Data-Driven Learning of Geometric Scattering Modules for GNNs
Multimodal Data Visualization and Denoising with Integrated Diffusion
LegoDNN: block-grained scaling of deep neural networks for mobile vision
Lattice Reformulation Cuts
Hierarchical Graph Neural Nets can Capture Long-Range Interactions
CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization.
Stringency of Containment and Closures on the Growth of SARS-CoV-2 in Canada prior to Accelerated Vaccine Roll-Out
SELF-SUPERVISED ACOUSTIC ANOMALY DETECTION VIA CONTRASTIVE LEARNING
Towards Learning to Imitate from a Single Video Demonstration.
arXiv: Learning
(2021-10-21)
Convergence Analysis and Implicit Regularization of Feedback Alignment for Deep Linear Networks.
REAL-M: Towards Speech Separation on Real Mixtures
Chunked Autoregressive GAN for Conditional Waveform Synthesis
Compositional Attention: Disentangling Search and Retrieval
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
SparseAdapt: Runtime Control for Sparse Linear Algebra on a Reconfigurable Accelerator
Frustratingly Easy Uncertainty Estimation for Distribution Shift.
Lifelong Topological Visual Navigation.
The Power of Prompt Tuning for Low-Resource Semantic Parsing.
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-Trained Language Models.
Graph Neural Networks with Learnable Structural and Positional Representations.
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
Trade-offs of Local SGD at Scale: An Empirical Study.
Exposing Query Identification for Search Transparency.
Evaluation of real-life use of Point-Of-Care Rapid Antigen TEsting for SARS-CoV-2 in schools for outbreak control (EPOCRATES)
LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing.
Reduced Axon Calibre in the Associative Striatum of the Sapap3 Knockout Mouse.
Block Contextual MDPs for Continual Learning.
Compositional Generalization in Dependency Parsing
Population modeling with machine learning can enhance measures of mental health.
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T.
Dynamic Inference with Neural Interpreters
Temporal Abstraction in Reinforcement Learning with the Successor Representation.
Diagnosing as autistic people increasingly distant from prototypes lead neither to clinical benefit nor to the advancement of knowledge.
Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation
A cognitive fingerprint in human random number generation.
GPU acceleration of finite state machine input execution: Improving scale and performance
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity.
A General Framework for the Disintegration of PAC-Bayesian Bounds
Pre-training Molecular Graph Representation with 3D Geometry.
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
Robustness and sample complexity of model-based MARL for general-sum Markov games.
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.
Capacity Expansion in the College Admission Problem.
TopiOCQA: Open-domain Conversational Question Answeringwith Topic Switching.
Normalizing automatic spinal cord cross-sectional area measures
General Cops and Robbers games with randomness
Theoretical Computer Science
(2021-10-02)
www.sciencedirect.com[Also on arXiv preprint arXiv:2004.11503 (2020-04-24)]ORB-SLAM with Near-infrared images and Optical Flow data
Hartley Stochastic Computing For Convolutional Neural Networks
Multi-Stage Fusion for Multi-Class 3D Lidar Detection
CD177 modulates the function and homeostasis of tumor-infiltrating regulatory T cells.
Season-Based Occupancy Prediction in Residential Buildings Using Machine Learning Models
Congenital heart disease phenotyping in large claims databases
Fault-Tolerance of Binarized and Stochastic Computing-based Neural Networks
Reconstruction for Powerful Graph Representations.
Multiview Feature Selection for Single-View Classification
TrafficVis: Visualizing Suspicious Meta-Clusters for Human Trafficking Detection
CAMAP: Artificial neural networks unveil the role of codon arrangement in modulating MHC-I peptides presentation.
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 Polyakâs learning rate
High-Throughput VLSI Architecture for GRAND Markov Order
SSR: Semi-Supervised Soft Rasterizer for Single-View 2D to 3D Reconstruction
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
Overcoming Label Ambiguity with Multi-label Iterated Learning
Exploring the Optimality of Tight-Frame Scattering Networks
Good Scientific Practice in MEEG Research: Progress and Perspectives
Data-driven approaches for genetic characterization of SARS-CoV-2 lineages
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
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
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems.
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)]Gotta Go Fast with Score-Based Generative Models
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
Multi-task Learning with Domain Knowledge for Molecular Property Prediction
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)]Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data.
Computational models of category-selective brain regions enable high-throughput tests of selectivity
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.
Edge-similarity-aware Graph Neural Networks.
Propagating Uncertainty Across Cascaded Medical Imaging Tasks For Improved Deep Learning Inference
IDECF: Improved Deep Embedding Clustering With Deep Fuzzy Supervision
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Twist-Angle-Dependent Ultrafast Charge Transfer in MoS2-Graphene van der Waals Heterostructures.
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
Optimizing Neuroprosthetic Therapies via Autonomous Learning Agents
Social isolation is linked to classical risk factors of Alzheimer's disease-related dementias
Connectivity alterations in autism reflect functional idiosyncrasy.
Periodic Freight Demand Estimation for Large-scale Tactical Planning.
Routine Bandits: Minimizing Regret on Recurring Problems.
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
PKDD 2021
(2021-09-13)
hal.archives-ouvertes.frPDF[Also on arXiv preprint arXiv:2104.13626 (2021-04-28)]Pyrolysis of an Artificially Matured Shale Havning Type Ii Kerogen and Its Retained Oil: Implications for Late Gas Potential
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
Interindividual Differences in Cortical Thickness and Their Genomic Underpinnings in Autism Spectrum Disorder.
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.
Home alone: A population neuroscience investigation of brain morphology substrates
Social belonging: Brain structure and function is linked to membership in sports teams, religious groups and social clubs
Problems in the deployment of machine-learned models in health care.
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.
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.
Application of Artificial Intelligence in Community-Based Primary Health Care: Systematic Scoping Review and Critical Appraisal.
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
Can Open Source Licenses Help Regulate Lethal Autonomous Weapons
Automated Traceability for Domain Modelling Decisions Empowered by Artificial Intelligence
DoMoBOT: A Modelling Bot for Automated and Traceable Domain Modelling
Towards Understanding Developers' Machine-Learning Challenges: A Multi-Language Study on Stack Overflow.
Skin-Inspired High-Performance Active-Matrix Circuitry for Multimodal User-Interaction
How the type and valence of feedback information influence volunteersâ knowledge contribution in citizen science projects
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.
Issue Link Label Recovery and Prediction for Open Source Software.
2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
(2021-09-01)
dblp.uni-trier.dePDFOn 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
Design Smells in Deep Learning Programs: An Empirical Study.
I-MAD: Interpretable malware detector using Galaxy Transformer
Learning function from structure in neuromorphic networks
2021-08
A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices with Heterogeneous Hardware
Improved Dimming Scheme based on Non-DC Free RLL Codes for VLC
Reduced Complexity RPA Decoder for Reed-Muller Codes
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
Approximate Bayesian Optimisation for Neural Networks
Enhanced electrokinetic remediation removal heavy metal from sludge assisted by the combined biodegradable iminodisuccinic acid and electrolyte circulation technology
Variability in Brain Structure and Function Reflects Lack of Peer Support
Graph Contrastive Pre-training for Effective Theorem Reasoning.
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.
Generating high performance code for irregular data structures using dependent types
Proceedings of the 9th ACM SIGPLAN International Workshop on Functional High-Performance and Numerical Computing
(2021-08-22)
dblp.uni-trier.dePDFClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models
NEURIPS 2021
(2021-08-21)
dblp.uni-trier.dePDF[LATEST on arXiv preprint arXiv:2111.14671 (2021-11-29)]Deep Learning for Detecting Extreme Weather Patterns
Magnetoencephalography Resting-State Correlates of Executive and Language Components of Verbal Fluency
Subjective social isolation is linked to subregional alterations in hippocampus-default network co-variation
Lacking social support is associated with structural divergences in hippocampus-default network co-variation patterns
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
Scalable regret for learning to control network-coupled subsystems with unknown dynamics.
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
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error
RAPPPID: Towards Generalisable Protein Interaction Prediction with AWD-LSTM Twin Networks
The 4th Artificial Intelligence of Things (AIoT) Workshop
Artificial Intelligence for Drug Discovery
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection
Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
Deep Learning on Graphs for Natural Language Processing
Patient-specific microdosimetry: a proof of concept.
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
Overview of the TREC 2020 Fair Ranking Track.
Low-Complexity Construction of Polar Codes Based on Genetic Algorithm
Dynamic Diffuse Global Illumination Resampling
Issue Link Label Recovery and Prediction for Open Source Software
Post-hoc Interpretability for Neural NLP: A Survey.
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Toward Optimal Solution for the Context-Attentive Bandit Problem.
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.
Detection of oropharyngeal sensory function in normal population
UItra-low friction and edge-pinning effect in large-lattice-mismatch van der Waals heterostructures.
Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information.
Policy Gradients Incorporating the Future
Toward Tweet-Mining Framework for Extracting Terrorist Attack-Related Information and Reporting
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
Barriers and facilitators to patient engagement in patient safety from patients and healthcare professionals' perspectives: A systematic review and meta-synthesis.
An Advanced Noise Reduction and Edge Enhancement Algorithm.
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.
Investigating the impact of the CT Hounsfield unit range on radiomic feature stability using dual energy CT data.
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
Whatâs 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)]Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimerâs Disease
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.
Educating the future generation of researchers: A cross-disciplinary survey of trends in analysis methods
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
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.
A Replication Package For The Paper "Improved Retrieval of Programming Solutions with Code Examples Using a Multi-featured Score"
Human Pose Transfer with Disentangled Feature Consistency.
Modelling Latent Translations for Cross-Lingual Transfer
Image-to-Image Translation with Low Resolution Conditioning.
Automatic Multiclass Intramedullary Spinal Cord Tumor Segmentation on MRI with Deep Learning
Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA
Dynamic Realtime z-Shimming: A Feasibility Study
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.
Parametric Scattering Networks.
Comorbidities and Medical Complications in Hospitalized Subarachnoid Hemorrhage Patients.
A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes.
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction
Learning Gradient Fields for Molecular Conformation Generation
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
Deep Successive Subspace Learning for Data Clustering
VirtualGAN: Reducing Mode Collapse in Generative Adversarial Networks Using Virtual Mapping
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
Spine and Individual Vertebrae Segmentation in Computed Tomography Images Using Geometric Flows and Shape Priors
Learning to Limit Data Collection via Scaling Laws: Data Minimization Compliance in Practice.
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
Large-Scale Intrinsic Functional Brain Organization Emerges from Three Canonical Spatiotemporal Patterns
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration
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.
Joint Selection using Deep Reinforcement Learning for Skeleton-based Activity Recognition
A Deep Learning Framework for Prediction of Clinical Drug Response of Cancer Patients and Identification of Drug Sensitivity Biomarkers using Preclinical Samples
How does hemispheric specialization contribute to human-defining cognition?
A simple and robust method for automating analysis of naĂŻve and regenerating peripheral nerves.
SGD in the Large: Average-case Analysis, Asymptotics, and Stepsize Criticality
The default mode network in cognition: a topographical perspective.
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
A Reliable All-2D Materials Artificial Synapse for High Energy-Efficient Neuromorphic Computing
Artificial Synapses: A Reliable All-2D Materials Artificial Synapse for High Energy-Efficient Neuromorphic Computing (Adv. Funct. Mater. 27/2021)
Enjeux juridiques propres au modÚle 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
Why do builds fail?âA conceptual replication study
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints
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.
Machine-LearningâBased Column Selection for Column Generation
Exchange bias and spinâorbit torque in the Fe3GeTe2-based heterostructures prepared by vacuum exfoliation approach
Deep Clustering with Self-supervision using Pairwise Data Similarities
Universal semantics for the stochastic λ-calculus
Fixed-points for quantitative equational logics
Universal Semantics for the Stochastic Lambda-Calculus
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads
Measures of balance in combinatorial optimization
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Physicochemical properties and heavy metal pollution characteristics and correlation analysis of sludge landfill
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs.
Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
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
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
Taskography: Evaluating robot task planning over large 3D scene graphs
A Data Mining Analysis of Cross-Regional Study of Apparel Consumption
Haptics-based Curiosity for Sparse-reward Tasks
Digitizing a sustainable future
Differentiable Particle Filtering without Modifying the Forward Pass.
Sample Efficient Social Navigation Using Inverse Reinforcement Learning.
Ice Core Science Meets Computer Vision: Challenges and Perspectives
Frontiers of Computer Science
(2021-06-17)
www.frontiersin.org[Also on arXiv preprint arXiv:2104.04430 (2021-04-09)]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.
Communications Biology
(2021-06-17)
www-nature-com-443.webvpn.bjmu.tsg211.com[Also on bioRxiv (2020-12-22)]Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection.
SPeCiaL: Self-Supervised Pretraining for Continual Learning.
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.
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking
UWB-Assisted Fast mmWave Beam Alignment
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
Structure-aware reinforcement learning for node-overload protection in mobile edge computing
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
DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection.
Rapid simultaneous acquisition of macromolecular tissue volume, susceptibility, and relaxometry maps
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
GrowSpace: Learning How to Shape Plants
SpeechBrain: A General-Purpose Speech Toolkit
Understanding Capacity Saturation in Incremental Learning
FairCal: Fairness Calibration for Face Verification.
A Unified Few-Shot Classification Benchmark to Compare Transfer and Meta Learning Approaches
Improved Predictive Uncertainty using Corruption-based Calibration.
Bias Mitigation of Face Recognition Models Through Calibration.
The Benchmark Lottery
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.
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction.
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
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
Inside Back Cover: Wafer-Scale Oxygen-Doped MoS2 Monolayer (Small Methods 6/2021)
Wafer-Scale Oxygen-Doped MoS2 Monolayer
Optically and magnetically addressable valley pseudospin of interlayer excitons in bilayer MoS2
Preparation and characterization of NiO/HY catalyst
Hierarchical Policy Learning for Hybrid Communication Load Balancing
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
NAACL 2021
(2021-06-01)
ui.adsabs.harvard.eduPDF[Also on arXiv preprint arXiv:1907.08736 (2019-07-20)]2021-05
Optimizing Cellular Networks via Continuously Moving Base Stations on Road Networks
On the benefits of representation regularization in invariance based domain generalization.
Multimodal dynamics modeling for off-road autonomous vehicles
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.
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning
Deep Koopman Representation for Control over Images (DKRCI)
Recovering the wedge modes lost to 21-cm foregrounds
Monthly Notices of the Royal Astronomical Society
(2021-05-25)
academic.oup.comPDF[Also on arXiv: Cosmology and Nongalactic Astrophysics (2021-05-25)]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 lâĂ©thique de lâIA : dĂ©libĂ©ration en ligne citoyenne et internationale pour lâUNESCO
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.
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting
Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative
Evaluation of a prenatal screening decision aid: A mixed methods pilot study.
Individual Fairness in Kidney Exchange Programs.
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery
Learning Intuitive Physics with Multimodal Generative Models
GraphMix: Improved Training of GNNs for Semi-Supervised Learning
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery.
Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
Universal Dependencies 2.8.1
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.
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits.
Fairness and Discrimination in Information Access Systems
Reciprocity and alignment: quantifying coupling in dynamic interactions
CCN GAC Workshop: Issues with learning in biological recurrent neural networks.
Examining the Effects of Feedback-giving as a Gamification Mechanic in Crowd Rating Systems
Exploring the Wasserstein metric for time-to-event analysis
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.
Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach
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.
âI Canât Reply with Thatâ: 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
Iterative Amortized Policy Optimization
Iterative Graph Self-Distillation
Adversarial Meta-Learning
GraphSAD: Learning Graph Representations with Structure-Attribute Disentanglement
Self-supervised Graph-level Representation Learning with Local and Global Structure
ICML 2021
(2021-05-04)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2106.04113 (2021-06-08)]Adversarial Feature Desensitization
Orthogonal Over-Parameterized Training
Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations
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
Understanding and Mitigating Accuracy Disparity in Regression
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
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
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
Emergence of Chern insulating states in non-Magic angle twisted bilayer graphene
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning
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.deCode Generation for Room Acoustics Simulations with Complex Boundary Conditions
Deep Learning for Voice Gender Identification: Proofâofâconcept for GenderâAffirming 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 preprint arXiv:2102.11491 (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
Phonons and Quantum Criticality Revealed by Temperature Linear Resistivity in Twisted Double Bilayer Graphene
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)]Mini-batch graphs for robust image classification.
Tracking white and grey matter degeneration along the spinal cord axis in degenerative cervical myelopathy
Gradient Masked Federated Optimization.
Modeling Event Plausibility with Consistent Conceptual Abstraction.
hBert + BiasCorp - Fighting Racism on the Web
Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
(2021-04-19)
tspace.library.utoronto.caPDF[Also on arXiv preprint arXiv:2104.02242 (2021-04-06)]Smart about medications (SAM): a digital solution to enhance medication management following hospital discharge.
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection
The Surprising Performance of Simple Baselines for Misinformation Detection
Estimation of Fair Ranking Metrics with Incomplete Judgments
Enquire Oneâs 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
Linguistic Dependencies and Statistical Dependence
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 dâhorizon
European Journal of Operational Research
(2021-04-16)
www.sciencedirect.comPDF[Also on arXiv preprint arXiv:1811.06128 (2018-11-15)]SYSTEMS AND METHODS FOR INSTANCE SEGMENTATION BASED ON SEMANTIC SEGMENTATION
METHOD AND SYSTEM FOR CONTINUAL META-LEARNING
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 Alzheimerâs 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
Mining heterogeneous clinical notes by multi-modal latent topic model.
Multi-tract multi-symptom relationships in pediatric concussions
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
Modeling Citywide Crowd Flows using Attentive Convolutional LSTM
SYSTEMS AND METHODS FOR ANALYZING HUMAN DRIVING BEHAVIOR
Touch-based Curiosity for Sparse-Reward Tasks.
deep21: 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
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
Understanding How and Why Developers Seek and Analyze API-Related Opinions
IEEE Transactions on Software Engineering
(2021-04-01)
doi.orgPDF[Also on arXiv preprint arXiv:2102.08495 (2021-02-16)]Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs.
Mass-spectrometry analysis of the human pineal proteome during night and day and in autism.
Differentially private data publishing for arbitrarily partitioned data
SeroTracker: a global SARS-CoV-2 seroprevalence dashboard.
Do Syntax Trees Help Pre-trained Transformers Extract Information?
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.
Corrigendum: 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 consumersâ perspectives
Learning Task Decomposition with Ordered Memory Policy Network.
The neural correlates of ongoing conscious thought.
Stochastic Computing: Techniques and Applications
Learning with Gradient Descent and Weakly Convex Losses
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
AISTATS 2021
(2021-03-18)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2010.08012 (2020-10-15)]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.
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
AISTATS 2021
(2021-03-18)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2010.04003 (2020-10-07)]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 preprint arXiv:2002.10542 (2020-02-24)]A Meta-Review of Gamification Research
16th International Conference on Diversity, Divergence, Dialogue, iConference 2021
(2021-03-17)
experts.syr.eduStrengthening 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
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication.
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
Continuing professional education of Iranian healthcare professionals in shared decision-making: lessons learned.
Staying Ahead of the Epidemiologic Curve: Evaluation of the British Columbia Asthma Prediction System (BCAPS) During the Unprecedented 2018 Wildfire Season.
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
Electro-clinical features in epileptic children with chromosome 15q duplication syndrome.
An Information-Theoretic Perspective on Credit Assignment in Reinforcement Learning.
Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data.
Model-Invariant State Abstractions for Model-Based 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
Summarizing Relevant Parts from Technical Videos
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.
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.
Data Collection for the Learn-OCaml Programming Platform: Modelling How Students Develop Typed Functional Programs
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.
HEad and neCK TumOR segmentation and outcome prediction in PET/CT images
Training Binarized Neural Networks using Ternary Multipliers
Functional specialization within the inferior parietal lobes across cognitive domains
Interpretable Multi-Modal Hate Speech Detection.
Online Adversarial Attacks.
Coupled with EDDS and approaching anode technique enhanced electrokinetic remediation removal heavy metal from sludge.
Coordination Among Neural Modules Through a Shared Global Workspace.
Automatic Mining of Opinions Expressed About APIs in Stack Overflow
Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds
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
FDG-PET/CT Radiomics Models for The Early Prediction of Locoregional Recurrence in Head and Neck Cancer
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
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?
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
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs.
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
Medical Imaging with Deep Learning
(2021-02-09)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2103.16617 (2021-03-30)]Benefits of Linear Conditioning for Segmentation using Metadata
Medical Imaging with Deep Learning
(2021-02-09)
proceedings.mlr.pressPDF[LATEST on arXiv: Computer Vision and Pattern Recognition (2021-02-18)]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.
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
Influence of moisture content on chicken manure stabilization during microbial agent-enhanced composting.
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
IIRC: Incremental Implicitly-Refined Classification
Fairness over time in dynamic resource allocation with an application in Healthcare
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
Understanding Quantum Software Engineering Challenges An Empirical Study on Stack Exchange Forums and GitHub Issues.
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning
An Integrated Cloud-Edge-Device Adaptive Deep Learning Service for Cross-Platform Web
How Feedback Focus and Regulatory Focus Influence Customers' Co-design Behavior in Online Customization Communities.
Bridging the Gap between Semantic Segmentation and Instance Segmentation
Adaptive Multi-Layer Selective Ensemble Least Square Support Vector Machines with Applications
Examining the Effect of Interaction Content and Interaction Style on Volunteers' Research Competence in Citizen Science Projects.
Discrete-Valued Neural Communication in Structured Architectures Enhances Generalization
Single-subject Prediction: A Statistical Paradigm for Precision Psychiatry
Development of patient-specific 3D models from histopathological samples for applications in radiation therapy
Latent Translation Cross-Lingual Transfer
(venue unknown)
(2021-01-01)
Learning in Local Branching (Invited Talk).
Mixture-Based Feature Space Learning for Few-Shot Image Classification
Summary of iMLSE-18: The 1st international workshop on machine learning systems engineering
2018 International Workshop on Evidence-Based Security and Privacy in the Wild and the 1st International Workshop on Machine Learning Systems Engineering, WESPr-iMLSE 2018
(2021-01-01)
waseda.pure.elsevier.comSafePath: Exploiting Ubiquitous Smartphones to Avoid Vehicle-Pedestrian Collision
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling.
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
Reflections on Artificial Intelligence for Humanity
(2021-01-01)
doi.org[Also on Social Science Research Network (2020-06-30)]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
Failure Analysis of Hadoop Schedulers using an Integration of Model Checking and Simulation.
Hybrid Harmony: A Multi-Person Neurofeedback Application for Interpersonal Synchrony
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.orgPDF[Also on arXiv preprint arXiv:2002.01335 (2020-02-04)]Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
Autonomous Agents and Multi-Agent Systems
(2021-01-01)
dl.acm.org[LATEST on arXiv preprint arXiv:2110.04041 (2021-10-08)]Self-Supervised Attention-Aware Reinforcement Learning.
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)]Optimal control of network-coupled subsystems: Spectral decomposition and low-dimensional solutions
IEEE Transactions on Control of Network Systems
(2021-01-01)
xplorestaging.ieee.org[Also on arXiv e-prints (2020-09-25)]Editorial: Social Interaction in Neuropsychiatry
Assessing the Impact: Does an Improvement to a Revenue Management System Lead to an Improved Revenue?
Generative Compositional Augmentations for Scene Graph Prediction
Evaluating the Integration of One Health in Surveillance Systems for Antimicrobial Use and Resistance: A Conceptual Framework.
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.
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.comPDF[Also on arXiv preprint arXiv:2010.01408 (2020-10-03)]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.
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.
Spin-layer locking induced second-order nonlinear effect in centrosymmetric crystals
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
Cross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals
Functional idiosyncrasy has a shared topography with group-level connectivity alterations in autism
Non-autoregressive electron flow generation for reaction prediction.
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
ReCARL: Resource Allocation in Cloud RANs with Deep Reinforcement Learning
Annealed Importance Sampling with q-Paths.
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
A Study of Condition Numbers for First-Order Optimization. (arXiv:2012.05782v1 [cs.LG])
arXiv Computer Science
(2020-12-11)
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.aiPDFCFM: A Consistency Filtering Mechanism for Road Damage Detection
Uncovering 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
Utilising Graph Machine Learning within Drug Discovery and Development
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.
Towards Generalized Implementation of Wasserstein Distance in GANs
Sobolev Wasserstein GAN.
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.
Vertical Integration of 2D Building Blocks for All-2D Electronics
2D Transistors: Vertical Integration of 2D Building Blocks for Allâ2D Electronics (Adv. Electron. Mater. 12/2020)
Quantitative Equational Reasoning
Tabular: Probabilistic Inference from the Spreadsheet
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
MĂ©decine du sommeil personnalisĂ©e et syndrome dâapnĂ©es hypopnĂ©es obstructives du sommeil : entre prĂ©cision 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.com[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)
europepmc.orgPDF[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
Establishing an evaluation metric to quantify climate change image realism
Informatica : Journal of Applied Machines Electrical Electronics Computer Science and Communication Systems
(2020-12-01)
digitalintelligentsiaconsultancyservices.com[Also on Machine Learning: Science and Technology (2020-04-09)][Also on arXiv preprint arXiv:1910.10143 (2019-10-22)]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
Geometry-Aware Universal Mirror-Prox.
On the Convergence of Continuous Constrained Optimization for Structure Learning.
SYSTEM AND METHOD FOR CONTROLLABLE MACHINE TEXT GENERATION ARCHITECTURE
SYSTEM AND METHOD FOR MACHINE LEARNING ARCHITECTURE WITH VARIATIONAL AUTOENCODER POOLING
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.
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
Twist-angle-dependent photoresponse in MoS2-graphene van der Waals heterostructures probed by ultrafast electron diffraction
The 22nd International Conference on Ultrafast Phenomena 2020 (2020), paper Tu1A.3
(2020-11-16)
www.osapublishing.orgLearning 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
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Fast Object Detection with Latticed Multi-Scale Feature Fusion.
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery
Learning Efficient Task-Specific Meta-Embeddings with Word Prisms
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search.
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: Computer Vision and Pattern Recognition (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
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.
A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias
Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition
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.
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
Multi-Task Deep Reinforcement Learning with Knowledge Transfer for Continuous Control
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
Towards Efficient On-Chip Learning using Equilibrium Propagation
Robust resource provisioning in time-varying edge networks
Kidney injury molecule-1 is a potential receptor for SARS-CoV-2
Recursive Top-Down Production for Sentence Generation with Latent Trees.
Affordances for information practices: theorizing engagement among people, technology, and sociocultural environments
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
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
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT
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
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning
Stochastic adaptive regularization with dynamic sampling for machine learning
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
Networked control of coupled subsystems: Spectral decomposition and low-dimensional solutions
(venue unknown)
(2020-09-25)
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
Target to Source Coordinate-wise Adaptation of Pre-trained Models
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
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.
Memory Augmented Deep Recurrent Neural Network for Video Question Answering
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples
Why are Some Bugs Non-Reproducible? : âAn Empirical Investigation using Data Fusionâ
Analysis of Modern Release Engineering Topics : â A Large-Scale Study using StackOverflow â
Practitionersâ 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
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
Stable Policy Optimization via Off-Policy Divergence Regularization.
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
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
Differentiable Feature Aggregation Search for Knowledge Distillation
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.
Conference on Robot Learning
(2020-08-21)
proceedings.mlr.press[LATEST on arXiv preprint arXiv:2008.09417 (2020-08-21)]Partitioning gene-based variance of complex traits by gene score regression
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
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds.
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
PAC-Bayesian Contrastive Unsupervised Representation Learning
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
2020 IEEE Tenth International Model-Driven Requirements Engineering (MoDRE)
(2020-08-01)
ieeexplore.ieee.orgTowards 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 preprint arXiv:2005.03648 (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
Indoor large-scale water curtain assembly type dry hanging installation structure
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
Historical Issue Data of Projects on Jira
Binary OstensiblyâImplicit 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
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.
Learning Graph Structure With A Finite-State Automaton Layer
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).
SVRG for Policy Evaluation with Fewer Gradient Evaluations
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
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
Sharp Analysis of Smoothed Bellman Error Embedding.
Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach
DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
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.
Differentiable Causal Discovery from Interventional Data
A network-informed analysis of SARS-CoV-2 and hemophagocytic lymphohistiocytosis genesâ 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
The impact of atmospheric cues on consumersâ approach and avoidance behavioral intentions in social commerce websites
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
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.
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
UAI 2020
(2020-06-30)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:2007.00155 (2020-06-30)]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
Deep Reinforcement and InfoMax 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
Adversarial Feature Desensitization
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.
SantĂ© publique de prĂ©cision : RĂȘve ou rĂ©alitĂ©?
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
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:1911.09162 (2019-11-20)]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
AISTATS 2020
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2003.05101 (2020-03-11)]GAIT: A Geometric Approach to Information Theory
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
(2020-06-03)
proceedings.mlr.pressPDF[Also on arXiv preprint arXiv:2001.00602 (2020-01-02)]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)]On the interplay between noise and curvature and its effect on optimization and generalization
Bayesian Neural Networks.
Surprisal-Triggered Conditional Computation with Neural Networks
Training End-to-End Analog Neural Networks with Equilibrium Propagation.
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning
Effects of feedback design and dispositional goal orientations on volunteer performance in citizen science projects
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.
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 SĂžrensen-Dice Analysis
An Analysis of the Adaptation Speed of Causal Models
An Analysis of the Adaptation Speed of Causal Models
COVI White Paper.
Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation
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 Consumersâ Choice between Product-Related and Sustainable CuesâThe Effects of Gender Differences and Consumer Innovativeness
Decoupling of GdâCr 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 arenât 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
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
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
âSLAM: 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 Modelâreduced 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 âcontinuous optimization and applications in machine learning and data analyticsâ
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
Distinct roles of parvalbumin and somatostatin interneurons in gating the synchronization of spike times in the neocortex.
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
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates.
Domain Conditioned Adaptation Network.
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