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Dec. 6, 2020 Expo schedule » New in ML »

Timezone: US/Pacific »

Indicates the beginning of a session

 Mon Dec 07, 2020

Time Poster Session 0
09:00 PM (Posters)
Rankmax: An Adaptive Projection Alternative to the Softmax Function Poster Session 0 #0
Field-wise Learning for Multi-field Categorical Data Poster Session 0 #1
Deep Diffusion-Invariant Wasserstein Distributional Classification Poster Session 0 #2
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems Poster Session 0 #3
Efficient Clustering Based On A Unified View Of K-means And Ratio-cut Poster Session 0 #4
Probabilistic Fair Clustering Poster Session 0 #5
Sampling-Decomposable Generative Adversarial Recommender Poster Session 0 #6
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering Poster Session 0 #7
Ratio Trace Formulation of Wasserstein Discriminant Analysis Poster Session 0 #8
Coresets for Regressions with Panel Data Poster Session 0 #9
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery Poster Session 0 #10
Adversarial Learning for Robust Deep Clustering Poster Session 0 #11
Adversarial Counterfactual Learning and Evaluation for Recommender System Poster Session 0 #12
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion Poster Session 0 #13
Interventional Few-Shot Learning Poster Session 0 #14
Neural Methods for Point-wise Dependency Estimation Poster Session 0 #15
Multi-label Contrastive Predictive Coding Poster Session 0 #16
Self-Supervised Relationship Probing Poster Session 0 #17
Debiased Contrastive Learning Poster Session 0 #18
The Autoencoding Variational Autoencoder Poster Session 0 #19
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction Poster Session 0 #20
Unsupervised Data Augmentation for Consistency Training Poster Session 0 #21
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation Poster Session 0 #22
Hard Negative Mixing for Contrastive Learning Poster Session 0 #23
Parametric Instance Classification for Unsupervised Visual Feature learning Poster Session 0 #24
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain Poster Session 0 #25
Unsupervised Representation Learning by Invariance Propagation Poster Session 0 #26
Joint Contrastive Learning with Infinite Possibilities Poster Session 0 #27
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings Poster Session 0 #28
Restoring Negative Information in Few-Shot Object Detection Poster Session 0 #29
One-sample Guided Object Representation Disassembling Poster Session 0 #30
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning Poster Session 0 #31
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings Poster Session 0 #32
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation Poster Session 0 #33
Hierarchical Poset Decoding for Compositional Generalization in Language Poster Session 0 #34
Strongly Incremental Constituency Parsing with Graph Neural Networks Poster Session 0 #35
A Simple Language Model for Task-Oriented Dialogue Poster Session 0 #36
Learning Dynamic Belief Graphs to Generalize on Text-Based Games Poster Session 0 #37
Incorporating Pragmatic Reasoning Communication into Emergent Language Poster Session 0 #38
Learning Strategic Network Emergence Games Poster Session 0 #39
Fighting Copycat Agents in Behavioral Cloning from Observation Histories Poster Session 0 #40
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation Poster Session 0 #41
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks Poster Session 0 #42
Demixed shared component analysis of neural population data from multiple brain areas Poster Session 0 #43
Neural encoding with visual attention Poster Session 0 #44
On Numerosity of Deep Neural Networks Poster Session 0 #45
Compact task representations as a normative model for higher-order brain activity Poster Session 0 #46
Using noise to probe recurrent neural network structure and prune synapses Poster Session 0 #47
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch Poster Session 0 #48
Language Models are Few-Shot Learners Poster Session 0 #49
Incorporating BERT into Parallel Sequence Decoding with Adapters Poster Session 0 #50
CogLTX: Applying BERT to Long Texts Poster Session 0 #51
MPNet: Masked and Permuted Pre-training for Language Understanding Poster Session 0 #52
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Poster Session 0 #53
Towards Neural Programming Interfaces Poster Session 0 #54
Language Through a Prism: A Spectral Approach for Multiscale Language Representations Poster Session 0 #55
ColdGANs: Taming Language GANs with Cautious Sampling Strategies Poster Session 0 #56
ConvBERT: Improving BERT with Span-based Dynamic Convolution Poster Session 0 #57
Investigating Gender Bias in Language Models Using Causal Mediation Analysis Poster Session 0 #58
Cross-lingual Retrieval for Iterative Self-Supervised Training Poster Session 0 #59
DynaBERT: Dynamic BERT with Adaptive Width and Depth Poster Session 0 #60
Pre-training via Paraphrasing Poster Session 0 #62
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data Poster Session 0 #63
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing Poster Session 0 #64
Big Bird: Transformers for Longer Sequences Poster Session 0 #65
Self-Supervised Generative Adversarial Compression Poster Session 0 #66
The Generalized Lasso with Nonlinear Observations and Generative Priors Poster Session 0 #67
Robust compressed sensing using generative models Poster Session 0 #68
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher Poster Session 0 #69
Fourier Spectrum Discrepancies in Deep Network Generated Images Poster Session 0 #70
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects Poster Session 0 #71
Towards a Combinatorial Characterization of Bounded-Memory Learning Poster Session 0 #72
The Power of Comparisons for Actively Learning Linear Classifiers Poster Session 0 #73
Estimating decision tree learnability with polylogarithmic sample complexity Poster Session 0 #74
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach Poster Session 0 #75
Matrix Inference and Estimation in Multi-Layer Models Poster Session 0 #76
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks Poster Session 0 #77
Limits on Testing Structural Changes in Ising Models Poster Session 0 #78
A Robust Functional EM Algorithm for Incomplete Panel Count Data Poster Session 0 #79
Weston-Watkins Hinge Loss and Ordered Partitions Poster Session 0 #80
On the Equivalence between Online and Private Learnability beyond Binary Classification Poster Session 0 #81
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model Poster Session 0 #82
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods Poster Session 0 #84
Reinforcement Learning for Control with Multiple Frequencies Poster Session 0 #85
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning Poster Session 0 #86
First Order Constrained Optimization in Policy Space Poster Session 0 #87
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction Poster Session 0 #88
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes Poster Session 0 #89
MOPO: Model-based Offline Policy Optimization Poster Session 0 #90
Trust the Model When It Is Confident: Masked Model-based Actor-Critic Poster Session 0 #91
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games Poster Session 0 #92
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Poster Session 0 #93
MOReL: Model-Based Offline Reinforcement Learning Poster Session 0 #94
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis Poster Session 0 #95
Independent Policy Gradient Methods for Competitive Reinforcement Learning Poster Session 0 #96
Provably Good Batch Reinforcement Learning Without Great Exploration Poster Session 0 #97
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks Poster Session 0 #98
Contrastive Learning with Adversarial Examples Poster Session 0 #99
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection Poster Session 0 #100
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search Poster Session 0 #101
The Cone of Silence: Speech Separation by Localization Poster Session 0 #102
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Poster Session 0 #103
Swapping Autoencoder for Deep Image Manipulation Poster Session 0 #105
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond Poster Session 0 #106
Domain Generalization via Entropy Regularization Poster Session 0 #107
Self-Supervised Few-Shot Learning on Point Clouds Poster Session 0 #108
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation Poster Session 0 #109
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration Poster Session 0 #110
Language and Visual Entity Relationship Graph for Agent Navigation Poster Session 0 #111
Fast Fourier Convolution Poster Session 0 #112
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations Poster Session 0 #113
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models Poster Session 0 #114
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes Poster Session 0 #115
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars Poster Session 0 #116
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement Poster Session 0 #117
MRI Banding Removal via Adversarial Training Poster Session 0 #118
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction Poster Session 0 #119
Interpretable Sequence Learning for Covid-19 Forecasting Poster Session 0 #120
Adversarial Attacks on Deep Graph Matching Poster Session 0 #121
Adversarial Sparse Transformer for Time Series Forecasting Poster Session 0 #122
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks Poster Session 0 #123
Input-Aware Dynamic Backdoor Attack Poster Session 0 #124
Understanding Global Feature Contributions With Additive Importance Measures Poster Session 0 #125
Improving Policy-Constrained Kidney Exchange via Pre-Screening Poster Session 0 #126
Learning Black-Box Attackers with Transferable Priors and Query Feedback Poster Session 0 #127
De-Anonymizing Text by Fingerprinting Language Generation Poster Session 0 #128
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs Poster Session 0 #129
Design Space for Graph Neural Networks Poster Session 0 #130
Learning Physical Graph Representations from Visual Scenes Poster Session 0 #131
Equivariant Networks for Hierarchical Structures Poster Session 0 #132
ARMA Nets: Expanding Receptive Field for Dense Prediction Poster Session 0 #133
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning Poster Session 0 #134
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks Poster Session 0 #135
Towards Learning Convolutions from Scratch Poster Session 0 #136
Bayesian Attention Modules Poster Session 0 #137
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction Poster Session 0 #138
Understanding and Exploring the Network with Stochastic Architectures Poster Session 0 #139
Neuron Merging: Compensating for Pruned Neurons Poster Session 0 #140
Position-based Scaled Gradient for Model Quantization and Pruning Poster Session 0 #141
ShiftAddNet: A Hardware-Inspired Deep Network Poster Session 0 #142
Pruning neural networks without any data by iteratively conserving synaptic flow Poster Session 0 #143
Attribution Preservation in Network Compression for Reliable Network Interpretation Poster Session 0 #144
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration Poster Session 0 #145
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search Poster Session 0 #146
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Poster Session 0 #147
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals Poster Session 0 #148
Cooperative Heterogeneous Deep Reinforcement Learning Poster Session 0 #149
The Mean-Squared Error of Double Q-Learning Poster Session 0 #150
Novelty Search in Representational Space for Sample Efficient Exploration Poster Session 0 #151
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning Poster Session 0 #152
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis Poster Session 0 #153
Robust Multi-Agent Reinforcement Learning with Model Uncertainty Poster Session 0 #154
Bayesian Multi-type Mean Field Multi-agent Imitation Learning Poster Session 0 #155
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design Poster Session 0 #156
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics Poster Session 0 #157
Safe Reinforcement Learning via Curriculum Induction Poster Session 0 #158
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems Poster Session 0 #159
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction Poster Session 0 #160
Off-Policy Evaluation via the Regularized Lagrangian Poster Session 0 #161
Dynamic Regret of Policy Optimization in Non-Stationary Environments Poster Session 0 #162
Constrained episodic reinforcement learning in concave-convex and knapsack settings Poster Session 0 #163
Off-Policy Interval Estimation with Lipschitz Value Iteration Poster Session 0 #164
CoinDICE: Off-Policy Confidence Interval Estimation Poster Session 0 #165
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret Poster Session 0 #166
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Poster Session 0 #167
Task-agnostic Exploration in Reinforcement Learning Poster Session 0 #168
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning Poster Session 0 #169
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces Poster Session 0 #170
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss Poster Session 0 #171
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization Poster Session 0 #172
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems Poster Session 0 #173
The Power of Predictions in Online Control Poster Session 0 #174
Information Theoretic Regret Bounds for Online Nonlinear Control Poster Session 0 #570