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Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Poster
@ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
Spotlight
Curvature Regularization to Prevent Distortion in Graph Embedding
Expo Talk Panel
Sun Dec 06 05:00 AM -- 06:00 AM (PST)
The challenges and latest advances in the field of causal AI
[
Video 1]
Expo Talk Panel
Sun Dec 06 05:00 AM -- 06:00 AM (PST)
scikit-learn and fairness, tools and challenges
[
Video 1]
Expo Talk Panel
Sun Dec 06 06:00 AM -- 07:00 AM (PST)
How we leverage machine learning and AI to develop life-changing medicines - a case study with COVID-19.
[
Video 1]
Expo Talk Panel
Sun Dec 06 07:00 AM -- 08:00 AM (PST)
Accelerated Training with ML Compute on M1-Powered Macs
[
Video 1]
Expo Talk Panel
Sun Dec 06 07:00 AM -- 08:00 AM (PST)
Drifting Efficiently Through the Stratosphere Using Deep Reinforcement Learning
[
Video 1]
Expo Talk Panel
Sun Dec 06 08:00 AM -- 09:00 AM (PST)
Making boats fly by scaling Reinforcement Learning with Software 2.0
[
Video 1]
Expo Talk Panel
Sun Dec 06 09:00 AM -- 10:00 AM (PST)
Automating Wildlife Conservation for Cetaceans
[
Video 1]
Expo Talk Panel
Sun Dec 06 09:00 AM -- 10:00 AM (PST)
AI against COVID-19 at IBM Research
[
Video 1]
Expo Talk Panel
Sun Dec 06 10:00 AM -- 11:00 AM (PST)
Fairness, Explainability, and Privacy in AI/ML Systems
[
Video 1]
Expo Workshop
Sun Dec 06 10:00 AM -- 02:05 PM (PST)
Mining and Learning with Graphs at Scale
[
Video 1]
Expo Workshop
Sun Dec 06 10:00 AM -- 02:00 PM (PST)
Real World RL with Vowpal Wabbit: Beyond Contextual Bandits
[
Video 1]
Expo Talk Panel
Sun Dec 06 11:00 AM -- 12:00 PM (PST)
Challenges in the adoption of Machine Learning in Health Care
[
Video 1]
Expo Demonstration
Sun Dec 06 12:00 PM -- 01:00 PM (PST)
Using Sparse Quantization for Efficient Inference on Deep Neural Networks
[
Video 1]
Expo Talk Panel
Sun Dec 06 01:00 PM -- 02:00 PM (PST)
Modern ML Meets Financial Markets: Insights and Challenges
[
Video 1]
Expo Talk Panel
Sun Dec 06 01:00 PM -- 02:00 PM (PST)
Human-Centered AI @ IBM Research –Automation versus Collaboration in the Age of AI
[
Video 1]
Expo Talk Panel
Sun Dec 06 02:00 PM -- 03:00 PM (PST)
Building Neural Interfaces: When Real and Artificial Neurons Meet
[
Video 1]
Expo Talk Panel
Sun Dec 06 02:00 PM -- 03:00 PM (PST)
The Unpaved Path of Deploying Reliable and Human-Centered Machine Learning Systems
[
Video 1]
Expo Demonstration
Sun Dec 06 03:00 PM -- 04:00 PM (PST)
Beyond AutoML: AI Automation & Scaling
[
Video 1]
Expo Workshop
Sun Dec 06 03:00 PM -- 09:00 PM (PST)
DAQA – Domain Adaptation and Question Answering
[
Video 1]
Expo Talk Panel
Sun Dec 06 04:00 PM -- 05:00 PM (PST)
Scaling Data Labeling with Machine Learning
[
Video 1]
Expo Talk Panel
Sun Dec 06 05:00 PM -- 06:00 PM (PST)
Hypotheses Generation for Applications in Biomedicine and Gastronomy
[
Video 1]
Expo Demonstration
Sun Dec 06 06:00 PM -- 07:00 PM (PST)
Whale: Accelerate EasyTransfer training workloads within one unified distributed training framework
[
Video 1]
Expo Talk Panel
Sun Dec 06 06:00 PM -- 07:00 PM (PST)
Visually Debugging ML Models With Scale Nucleus
[
Video 1]
Expo Demonstration
Sun Dec 06 07:00 PM -- 08:00 PM (PST)
Accelerating Deep Learning for Entertainment with Sony's Neural Network Libraries and Console
[
Video 1]
Expo Talk Panel
Sun Dec 06 07:00 PM -- 08:00 PM (PST)
Driving New Frontiers of Machine Learning with Cruise
[
Video 1]
Expo Talk Panel
Sun Dec 06 08:00 PM -- 09:00 PM (PST)
Accelerating Eye Movement Research Via Smartphone Gaze
[
Video 1]
Expo Workshop
Sun Dec 06 08:00 PM -- 12:00 AM (PST)
MachineLearningforAll-InclusiveFinance
[
Video 1]
Expo Demonstration
Sun Dec 06 09:00 PM -- 10:00 PM (PST)
Discovering genetic medicines using the Deep Genomics AI Drug Discovery Platform
[
Video 1]
Expo Demonstration
Mon Dec 07 12:00 AM -- 01:00 AM (PST)
GAN Applications in Fashion Article Design and Outfit Rendering
[
Video 1]
Tutorial
Mon Dec 07 12:00 AM -- 02:30 AM (PST)
(Track1) Sketching and Streaming Algorithms
[
Video Part 1]
Tutorial
Mon Dec 07 12:00 AM -- 02:30 AM (PST) @ Virtual
(Track2) Deeper Conversational AI
[
Slides]
[
Video Part 5]
Tutorial
Mon Dec 07 02:30 AM -- 05:00 AM (PST)
(Track3) Designing Learning Dynamics
[
Video Part 4]
[
Video Part 6]
Tutorial
Mon Dec 07 02:30 AM -- 05:00 AM (PST)
(Track1) There and Back Again: A Tale of Slopes and Expectations
[
Video Part 1]
Affinity Workshop
Mon Dec 07 03:00 AM -- 01:15 PM (PST)
New In ML
Tutorial
Mon Dec 07 05:30 AM -- 08:00 AM (PST)
(Track1) Where Neuroscience meets AI (And What’s in Store for the Future)
[
Video Part 1]
Tutorial
Mon Dec 07 05:30 AM -- 08:00 AM (PST)
(Track2) Beyond Accuracy: Grounding Evaluation Metrics for Human-Machine Learning Systems
[
Video Part 1]
Affinity Workshop
Mon Dec 07 06:00 AM -- 12:30 PM (PST)
Black in AI
Affinity Workshop
Mon Dec 07 08:00 AM -- 07:00 PM (PST)
LXAI Research @ NeurIPS 2020
Tutorial
Mon Dec 07 08:00 AM -- 10:30 AM (PST) @ Virtual
(Track1) Advances in Approximate Inference
[
Slides]
[
Video Part 4]
Tutorial
Mon Dec 07 08:00 AM -- 10:30 AM (PST)
(Track3) Offline Reinforcement Learning: From Algorithm Design to Practical Applications
[
Video Part 2]
Tutorial
Mon Dec 07 08:00 AM -- 10:30 AM (PST) @ Virtual
(Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning
[
Slides]
[
Video Part 1]
Tutorial
Mon Dec 07 11:00 AM -- 01:30 PM (PST)
(Track1) Abstraction & Reasoning in AI systems: Modern Perspectives
Tutorial
Mon Dec 07 11:00 AM -- 01:30 PM (PST)
(Track3) Policy Optimization in Reinforcement Learning
Tutorial
Mon Dec 07 11:00 AM -- 01:30 PM (PST)
(Track2) Machine Learning for Astrophysics and Astrophysics Problems for Machine Learning
Affinity Poster Session
Mon Dec 07 12:30 PM -- 02:30 PM (PST)
Joint Affinity Groups Poster Session
Tutorial
Mon Dec 07 01:30 PM -- 04:00 PM (PST)
(Track3) Deep Implicit Layers: Neural ODEs, Equilibrium Models, and Differentiable Optimization
[
Video Part 5]
Tutorial
Mon Dec 07 01:30 PM -- 04:00 PM (PST)
(Track1) Federated Learning and Analytics: Industry Meets Academia
[
Video Part 4]
Tutorial
Mon Dec 07 01:30 PM -- 04:00 PM (PST)
(Track2) Explaining Machine Learning Predictions: State-of-the-art, Challenges, and Opportunities
[
Video Part 1]
[
Video Part 3]
Invited Talk
Mon Dec 07 05:00 PM -- 07:00 PM (PST)
You Can’t Escape Hyperparameters and Latent Variables: Machine Learning as a Software Engineering Enterprise
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Representation/Relational
Learning Physical Graph Representations from Visual Scenes
[ Paper ]
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
[ Paper ]
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Language Models are Few-Shot Learners
[ Paper ]
Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Representation/Relational
Multi-label Contrastive Predictive Coding
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
[ Paper ]
Oral
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Novelty Search in Representational Space for Sample Efficient Exploration
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Representation/Relational
Equivariant Networks for Hierarchical Structures
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Neural encoding with visual attention
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Language/Audio Applications
The Cone of Silence: Speech Separation by Localization
[ Paper ]
Oral
Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
[ Paper ]
Break
Mon Dec 07 06:45 PM -- 07:00 PM (PST)
Break
Break
Mon Dec 07 06:45 PM -- 07:00 PM (PST)
Break
Break
Mon Dec 07 06:45 PM -- 07:00 PM (PST)
Break
Break
Mon Dec 07 06:45 PM -- 07:00 PM (PST)
Break
Spotlight
Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Representation/Relational
On the Equivalence between Online and Private Learnability beyond Binary Classification
[ Paper ]
Spotlight
Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
[ Paper ]
Spotlight
Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Unsupervised Sound Separation Using Mixture Invariant Training
[ Paper ]
Spotlight
Mon Dec 07 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
First Order Constrained Optimization in Policy Space
[ Paper ]
Spotlight
Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Representation/Relational
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
[ Paper ]
Spotlight
Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Using noise to probe recurrent neural network structure and prune synapses
[ Paper ]
Spotlight
Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
[ Paper ]
Spotlight
Mon Dec 07 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
CoinDICE: Off-Policy Confidence Interval Estimation
[ Paper ]
Spotlight
Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Representation/Relational
Joint Contrastive Learning with Infinite Possibilities
[ Paper ]
Spotlight
Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Interpretable Sequence Learning for Covid-19 Forecasting
[ Paper ]
Spotlight
Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Language/Audio Applications
A Simple Language Model for Task-Oriented Dialogue
[ Paper ]
Spotlight
Mon Dec 07 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
[ Paper ]
Spotlight
Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Representation/Relational
Neural Methods for Point-wise Dependency Estimation
[ Paper ]
Spotlight
Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
[ Paper ]
Spotlight
Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Language/Audio Applications
ConvBERT: Improving BERT with Span-based Dynamic Convolution
[ Paper ]
Spotlight
Mon Dec 07 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
[ Paper ]
Q&A
Mon Dec 07 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Mon Dec 07 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Mon Dec 07 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Mon Dec 07 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
Spotlight
Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Representation/Relational
Design Space for Graph Neural Networks
[ Paper ]
Spotlight
Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Demixed shared component analysis of neural population data from multiple brain areas
[ Paper ]
Spotlight
Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Cross-lingual Retrieval for Iterative Self-Supervised Training
[ Paper ]
Spotlight
Mon Dec 07 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
[ Paper ]
Spotlight
Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Representation/Relational
Debiased Contrastive Learning
[ Paper ]
Spotlight
Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
[ Paper ]
Spotlight
Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Language/Audio Applications
DynaBERT: Dynamic BERT with Adaptive Width and Depth
[ Paper ]
Spotlight
Mon Dec 07 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
[ Paper ]
Spotlight
Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Representation/Relational
The Autoencoding Variational Autoencoder
[ Paper ]
Spotlight
Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
[ Paper ]
Spotlight
Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Incorporating Pragmatic Reasoning Communication into Emergent Language
[ Paper ]
Spotlight
Mon Dec 07 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
[ Paper ]
Q&A
Mon Dec 07 08:20 PM -- 08:30 PM (PST)
Joint Q&A for Preceeding Spotlights
Spotlight
Mon Dec 07 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Representation/Relational
Unsupervised Representation Learning by Invariance Propagation
[ Paper ]
Spotlight
Mon Dec 07 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Language/Audio Applications
De-Anonymizing Text by Fingerprinting Language Generation
[ Paper ]
Spotlight
Mon Dec 07 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Safe Reinforcement Learning via Curriculum Induction
[ Paper ]
Break
Mon Dec 07 08:30 PM -- 09:00 PM (PST)
Break
Q&A
Mon Dec 07 08:30 PM -- 08:40 PM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Mon Dec 07 08:30 PM -- 08:40 PM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Mon Dec 07 08:30 PM -- 08:40 PM (PST)
Joint Q&A for Preceeding Spotlights
Break
Mon Dec 07 08:40 PM -- 09:00 PM (PST)
Break
Break
Mon Dec 07 08:40 PM -- 09:00 PM (PST)
Break
Break
Mon Dec 07 08:40 PM -- 09:00 PM (PST)
Break
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #0
Rankmax: An Adaptive Projection Alternative to the Softmax Function
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #1
Field-wise Learning for Multi-field Categorical Data
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #2
Deep Diffusion-Invariant Wasserstein Distributional Classification
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #3
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #4
Efficient Clustering Based On A Unified View Of K-means And Ratio-cut
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #5
Probabilistic Fair Clustering
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #6
Sampling-Decomposable Generative Adversarial Recommender
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #7
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #8
Ratio Trace Formulation of Wasserstein Discriminant Analysis
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #9
Coresets for Regressions with Panel Data
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #10
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #11
Adversarial Learning for Robust Deep Clustering
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #12
Adversarial Counterfactual Learning and Evaluation for Recommender System
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #13
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #14
Interventional Few-Shot Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #15
Neural Methods for Point-wise Dependency Estimation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #16
Multi-label Contrastive Predictive Coding
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #17
Self-Supervised Relationship Probing
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #18
Debiased Contrastive Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #19
The Autoencoding Variational Autoencoder
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #20
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #21
Unsupervised Data Augmentation for Consistency Training
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #22
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #23
Hard Negative Mixing for Contrastive Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #24
Parametric Instance Classification for Unsupervised Visual Feature learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #25
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #26
Unsupervised Representation Learning by Invariance Propagation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #27
Joint Contrastive Learning with Infinite Possibilities
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #28
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #29
Restoring Negative Information in Few-Shot Object Detection
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #30
One-sample Guided Object Representation Disassembling
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #31
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #32
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #33
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #34
Hierarchical Poset Decoding for Compositional Generalization in Language
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #35
Strongly Incremental Constituency Parsing with Graph Neural Networks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #36
A Simple Language Model for Task-Oriented Dialogue
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #37
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #38
Incorporating Pragmatic Reasoning Communication into Emergent Language
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #39
Learning Strategic Network Emergence Games
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #40
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #41
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #42
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #43
Demixed shared component analysis of neural population data from multiple brain areas
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #44
Neural encoding with visual attention
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #45
On Numerosity of Deep Neural Networks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #46
Compact task representations as a normative model for higher-order brain activity
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #47
Using noise to probe recurrent neural network structure and prune synapses
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #48
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #49
Language Models are Few-Shot Learners
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #50
Incorporating BERT into Parallel Sequence Decoding with Adapters
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #51
CogLTX: Applying BERT to Long Texts
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #52
MPNet: Masked and Permuted Pre-training for Language Understanding
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #53
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #54
Towards Neural Programming Interfaces
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #55
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #56
ColdGANs: Taming Language GANs with Cautious Sampling Strategies
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #57
ConvBERT: Improving BERT with Span-based Dynamic Convolution
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #58
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #59
Cross-lingual Retrieval for Iterative Self-Supervised Training
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #60
DynaBERT: Dynamic BERT with Adaptive Width and Depth
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #62
Pre-training via Paraphrasing
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #63
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #64
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #65
Big Bird: Transformers for Longer Sequences
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #66
Self-Supervised Generative Adversarial Compression
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #67
The Generalized Lasso with Nonlinear Observations and Generative Priors
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #68
Robust compressed sensing using generative models
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #69
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #70
Fourier Spectrum Discrepancies in Deep Network Generated Images
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #71
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #72
Towards a Combinatorial Characterization of Bounded-Memory Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #73
The Power of Comparisons for Actively Learning Linear Classifiers
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #74
Estimating decision tree learnability with polylogarithmic sample complexity
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #75
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #76
Matrix Inference and Estimation in Multi-Layer Models
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #77
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #78
Limits on Testing Structural Changes in Ising Models
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #79
A Robust Functional EM Algorithm for Incomplete Panel Count Data
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #80
Weston-Watkins Hinge Loss and Ordered Partitions
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #81
On the Equivalence between Online and Private Learnability beyond Binary Classification
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #82
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #84
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #85
Reinforcement Learning for Control with Multiple Frequencies
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #86
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #87
First Order Constrained Optimization in Policy Space
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #88
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #89
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #90
MOPO: Model-based Offline Policy Optimization
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #91
Trust the Model When It Is Confident: Masked Model-based Actor-Critic
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #92
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #93
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #94
MOReL: Model-Based Offline Reinforcement Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #95
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #96
Independent Policy Gradient Methods for Competitive Reinforcement Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #97
Provably Good Batch Reinforcement Learning Without Great Exploration
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #98
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #99
Contrastive Learning with Adversarial Examples
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #100
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #101
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #102
The Cone of Silence: Speech Separation by Localization
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #103
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #105
Swapping Autoencoder for Deep Image Manipulation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #106
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #107
Domain Generalization via Entropy Regularization
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #108
Self-Supervised Few-Shot Learning on Point Clouds
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #109
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #110
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #111
Language and Visual Entity Relationship Graph for Agent Navigation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #112
Fast Fourier Convolution
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #113
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #114
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #115
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #116
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #117
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #118
MRI Banding Removal via Adversarial Training
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #119
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #120
Interpretable Sequence Learning for Covid-19 Forecasting
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #121
Adversarial Attacks on Deep Graph Matching
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #122
Adversarial Sparse Transformer for Time Series Forecasting
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #123
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #124
Input-Aware Dynamic Backdoor Attack
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #125
Understanding Global Feature Contributions With Additive Importance Measures
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #126
Improving Policy-Constrained Kidney Exchange via Pre-Screening
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #127
Learning Black-Box Attackers with Transferable Priors and Query Feedback
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #128
De-Anonymizing Text by Fingerprinting Language Generation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #129
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #130
Design Space for Graph Neural Networks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #131
Learning Physical Graph Representations from Visual Scenes
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #132
Equivariant Networks for Hierarchical Structures
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #133
ARMA Nets: Expanding Receptive Field for Dense Prediction
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #134
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #135
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #136
Towards Learning Convolutions from Scratch
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #137
Bayesian Attention Modules
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #138
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #139
Understanding and Exploring the Network with Stochastic Architectures
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #140
Neuron Merging: Compensating for Pruned Neurons
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #141
Position-based Scaled Gradient for Model Quantization and Pruning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #142
ShiftAddNet: A Hardware-Inspired Deep Network
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #143
Pruning neural networks without any data by iteratively conserving synaptic flow
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #144
Attribution Preservation in Network Compression for Reliable Network Interpretation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #145
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #146
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #147
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #148
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #149
Cooperative Heterogeneous Deep Reinforcement Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #150
The Mean-Squared Error of Double Q-Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #151
Novelty Search in Representational Space for Sample Efficient Exploration
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #152
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #153
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #154
Robust Multi-Agent Reinforcement Learning with Model Uncertainty
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #155
Bayesian Multi-type Mean Field Multi-agent Imitation Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #156
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #157
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #158
Safe Reinforcement Learning via Curriculum Induction
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #159
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #160
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #161
Off-Policy Evaluation via the Regularized Lagrangian
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #162
Dynamic Regret of Policy Optimization in Non-Stationary Environments
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #163
Constrained episodic reinforcement learning in concave-convex and knapsack settings
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #164
Off-Policy Interval Estimation with Lipschitz Value Iteration
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #165
CoinDICE: Off-Policy Confidence Interval Estimation
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #166
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #167
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #168
Task-agnostic Exploration in Reinforcement Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #169
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #170
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #171
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #172
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #173
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #174
The Power of Predictions in Online Control
[ Paper ]
Poster
Mon Dec 07 09:00 PM -- 11:00 PM (PST) @ Poster Session 0 #570
Information Theoretic Regret Bounds for Online Nonlinear Control
[ Paper ]
Tutorial
Tue Dec 08 02:00 AM -- 02:50 AM (PST)
(Track2) Equivariant Networks Q&A
Tutorial
Tue Dec 08 03:00 AM -- 03:50 AM (PST)
(Track1) There and Back Again: A Tale of Slopes and Expectations Q&A
Invited Talk
Tue Dec 08 05:00 AM -- 07:00 AM (PST)
Feedback Control Perspectives on Learning
Demonstration
Tue Dec 08 06:00 AM -- 06:20 AM & Wed Dec 09 06:00 AM -- 06:20 AM (PST)
MONICA: MObile Neural voIce Command Assistant for mobile games
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Exact Recovery of Mangled Clusters with Same-Cluster Queries
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Deep Energy-based Modeling of Discrete-Time Physics
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Vision Applications
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
Multiscale Deep Equilibrium Models
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Social/Privacy
Adversarially Robust Streaming Algorithms via Differential Privacy
[ Paper ]
Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Learning Theory
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
[ Paper ]
Session
Tue Dec 08 06:00 AM -- 09:20 AM & Wed Dec 09 06:00 AM -- 09:20 AM (PST)
Demonstrations 1
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Deep Transformation-Invariant Clustering
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Vision Applications
Causal Intervention for Weakly-Supervised Semantic Segmentation
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
On the Modularity of Hypernetworks
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Escaping the Gravitational Pull of Softmax
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Social/Privacy
Differentially Private Clustering: Tight Approximation Ratios
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Learning Theory
Efficient active learning of sparse halfspaces with arbitrary bounded noise
[ Paper ]
Demonstration
Tue Dec 08 06:20 AM -- 06:40 AM & Wed Dec 09 06:20 AM -- 06:40 AM (PST)
tspDB: Time Series Predict DB
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Partially View-aligned Clustering
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Dissecting Neural ODEs
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Vision Applications
Convolutional Generation of Textured 3D Meshes
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
Training Generative Adversarial Networks with Limited Data
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Reinforcement Learning
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Social/Privacy
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Learning Theory
Learning Parities with Neural Networks
[ Paper ]
Demonstration
Tue Dec 08 06:40 AM -- 07:00 AM & Wed Dec 09 06:40 AM -- 07:00 AM (PST)
Probing Embedding Spaces in Deep Neural Networks
Break
Tue Dec 08 06:45 AM -- 07:00 AM (PST)
Break
Break
Tue Dec 08 06:45 AM -- 07:00 AM (PST)
Break
Break
Tue Dec 08 06:45 AM -- 07:00 AM (PST)
Break
Break
Tue Dec 08 06:45 AM -- 07:00 AM (PST)
Break
Affinity Workshop
Tue Dec 08 07:00 AM -- 12:30 PM (PST)
Queer in AI Workshop @ NeurIPS 2020
Demonstration
Tue Dec 08 07:00 AM -- 07:20 AM & Wed Dec 09 07:00 AM -- 07:20 AM (PST)
IBM Federated Learning Community Edition: An Interactive Demonstration
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Simple and Scalable Sparse k-means Clustering via Feature Ranking
[ Paper ]
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Robust Density Estimation under Besov IPM Losses
[ Paper ]
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Vision Applications
DISK: Learning local features with policy gradient
[ Paper ]
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Deep Learning
MeshSDF: Differentiable Iso-Surface Extraction
[ Paper ]
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Interferobot: aligning an optical interferometer by a reinforcement learning agent
[ Paper ]
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Social/Privacy
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
[ Paper ]
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Learning Theory
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Simultaneous Preference and Metric Learning from Paired Comparisons
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Almost Surely Stable Deep Dynamics
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Vision Applications
Wasserstein Distances for Stereo Disparity Estimation
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Deep Learning
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
On Efficiency in Hierarchical Reinforcement Learning
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Social/Privacy
Private Identity Testing for High-Dimensional Distributions
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Learning Theory
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
[ Paper ]
Demonstration
Tue Dec 08 07:20 AM -- 07:40 AM & Wed Dec 09 07:20 AM -- 07:40 AM (PST)
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Learning Optimal Representations with the Decodable Information Bottleneck
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Vision Applications
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Deep Learning
Monotone operator equilibrium networks
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Finite-Time Analysis for Double Q-learning
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Social/Privacy
Permute-and-Flip: A new mechanism for differentially private selection
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Learning Theory
A Bandit Learning Algorithm and Applications to Auction Design
[ Paper ]
Affinity Workshop
Tue Dec 08 07:30 AM -- 11:00 AM (PST)
Muslims in ML
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Manifold structure in graph embeddings
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
A Theoretical Framework for Target Propagation
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Vision Applications
Learning Semantic-aware Normalization for Generative Adversarial Networks
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Deep Learning
What Do Neural Networks Learn When Trained With Random Labels?
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Social/Privacy
Smoothed Analysis of Online and Differentially Private Learning
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Learning Theory
An Optimal Elimination Algorithm for Learning a Best Arm
[ Paper ]
Demonstration
Tue Dec 08 07:40 AM -- 08:00 AM & Wed Dec 09 07:40 AM -- 08:00 AM (PST)
MosAIc: Finding Artistic Connections across Culture with Conditional Image Retrieval
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
[ Paper ]
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
[ Paper ]
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Vision Applications
Neural Sparse Voxel Fields
[ Paper ]
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Deep Learning
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
[ Paper ]
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
[ Paper ]
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Social/Privacy
Optimal Private Median Estimation under Minimal Distributional Assumptions
[ Paper ]
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Learning Theory
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
[ Paper ]
Demonstration
Tue Dec 08 08:00 AM -- 08:20 AM & Wed Dec 09 08:00 AM -- 08:20 AM (PST)
RetaiL: Open your own grocery store to reduce waste
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Classification with Valid and Adaptive Coverage
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Information theoretic limits of learning a sparse rule
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Vision Applications
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Deep Learning
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Model-based Policy Optimization with Unsupervised Model Adaptation
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Social/Privacy
Assisted Learning: A Framework for Multi-Organization Learning
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Learning Theory
PAC-Bayesian Bound for the Conditional Value at Risk
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Clustering/Ranking
On ranking via sorting by estimated expected utility
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Vision Applications
Learning to Detect Objects with a 1 Megapixel Event Camera
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Deep Learning
The phase diagram of approximation rates for deep neural networks
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Social/Privacy
Higher-Order Certification For Randomized Smoothing
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Learning Theory
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
[ Paper ]
Demonstration
Tue Dec 08 08:20 AM -- 08:40 AM & Wed Dec 09 08:20 AM -- 08:40 AM (PST)
PrototypeML: Visual Design of Arbitrarily Complex Neural Networks
Q&A
Tue Dec 08 08:20 AM -- 08:30 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 08:20 AM -- 08:30 AM (PST)
Joint Q&A for Preceeding Spotlights
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Logarithmic Pruning is All You Need
[ Paper ]
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Vision Applications
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
[ Paper ]
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Deep Learning
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
[ Paper ]
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
[ Paper ]
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Learning Theory
Hedging in games: Faster convergence of external and swap regrets
[ Paper ]
Break
Tue Dec 08 08:30 AM -- 09:00 AM (PST)
Break
Q&A
Tue Dec 08 08:30 AM -- 08:40 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 08:30 AM -- 08:40 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 08:30 AM -- 08:40 AM (PST)
Joint Q&A for Preceeding Spotlights
Q&A
Tue Dec 08 08:30 AM -- 08:40 AM (PST)
Joint Q&A for Preceeding Spotlights
Spotlight
Tue Dec 08 08:30 AM -- 08:40 AM (PST) @ Orals & Spotlights: Learning Theory
Online Bayesian Persuasion
[ Paper ]
Break
Tue Dec 08 08:40 AM -- 09:00 AM (PST)
Break
Break
Tue Dec 08 08:40 AM -- 09:00 AM (PST)
Break
Break
Tue Dec 08 08:40 AM -- 09:00 AM (PST)
Break
Demonstration
Tue Dec 08 08:40 AM -- 09:00 AM & Wed Dec 09 08:40 AM -- 09:00 AM (PST)
A Knowledge Graph Reasoning Prototype
Q&A
Tue Dec 08 08:40 AM -- 08:50 AM (PST)
Joint Q&A for Preceeding Spotlights
Demonstration
Tue Dec 08 09:00 AM -- 09:20 AM & Wed Dec 09 09:00 AM -- 09:20 AM (PST)
Shared Interest: Human Annotations vs. AI Saliency
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #61
Latent Template Induction with Gumbel-CRFs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #175
Federated Principal Component Analysis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #176
Learning Differential Equations that are Easy to Solve
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #177
Learning Rich Rankings
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #178
Self-supervised Co-Training for Video Representation Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #179
Prophet Attention: Predicting Attention with Future Attention
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #180
Audeo: Audio Generation for a Silent Performance Video
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #181
Cascaded Text Generation with Markov Transformers
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #182
All Word Embeddings from One Embedding
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #183
Data Diversification: A Simple Strategy For Neural Machine Translation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #184
Learning Sparse Prototypes for Text Generation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #185
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #186
AViD Dataset: Anonymized Videos from Diverse Countries
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #187
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #189
End-to-End Learning and Intervention in Games
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #190
Cross-validation Confidence Intervals for Test Error
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #191
Learning Robust Decision Policies from Observational Data
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #192
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #193
Self-Imitation Learning via Generalized Lower Bound Q-learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #194
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #195
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #196
An operator view of policy gradient methods
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #197
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #198
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #199
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #200
The Value Equivalence Principle for Model-Based Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #201
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #202
Neurosymbolic Reinforcement Learning with Formally Verified Exploration
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #203
Near-Optimal Reinforcement Learning with Self-Play
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #204
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #205
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #206
Deep Multimodal Fusion by Channel Exchanging
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #207
Learning Representations from Audio-Visual Spatial Alignment
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #208
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #209
Causal Intervention for Weakly-Supervised Semantic Segmentation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #210
Generative View Synthesis: From Single-view Semantics to Novel-view Images
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #211
Labelling unlabelled videos from scratch with multi-modal self-supervision
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #212
Unfolding the Alternating Optimization for Blind Super Resolution
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #213
Video Frame Interpolation without Temporal Priors
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #214
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #215
Color Visual Illusions: A Statistics-based Computational Model
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #216
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #217
Make One-Shot Video Object Segmentation Efficient Again
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #218
SIRI: Spatial Relation Induced Network For Spatial Description Resolution
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #219
Multi-Plane Program Induction with 3D Box Priors
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #220
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #221
Unsupervised object-centric video generation and decomposition in 3D
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #222
Dissecting Neural ODEs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #223
On ranking via sorting by estimated expected utility
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #224
Constant-Expansion Suffices for Compressed Sensing with Generative Priors
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #225
Model Interpretability through the Lens of Computational Complexity
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #226
Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #227
Smoothed Analysis of Online and Differentially Private Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #228
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #229
Hardness of Learning Neural Networks with Natural Weights
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #230
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #231
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #232
The phase diagram of approximation rates for deep neural networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #233
A Dynamical Central Limit Theorem for Shallow Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #234
Learning Bounds for Risk-sensitive Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #235
Agnostic Learning of a Single Neuron with Gradient Descent
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #236
Information theoretic limits of learning a sparse rule
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #237
From Finite to Countable-Armed Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #238
Optimal Best-arm Identification in Linear Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #239
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #240
Finite Continuum-Armed Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #241
Adversarial Blocking Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #242
Inference for Batched Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #243
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #244
Adversarial Attacks on Linear Contextual Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #245
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #246
Finding All $\epsilon$-Good Arms in Stochastic Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #247
An Optimal Elimination Algorithm for Learning a Best Arm
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #248
Instance-wise Feature Grouping
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #249
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #250
Online Planning with Lookahead Policies
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #251
Escaping the Gravitational Pull of Softmax
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #252
Online Bayesian Persuasion
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #253
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #254
CoinPress: Practical Private Mean and Covariance Estimation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #255
Auditing Differentially Private Machine Learning: How Private is Private SGD?
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #256
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #257
Smoothly Bounding User Contributions in Differential Privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #258
Learning from Mixtures of Private and Public Populations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #259
A Computational Separation between Private Learning and Online Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #260
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #261
Improving Sparse Vector Technique with Renyi Differential Privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #262
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #263
Private Identity Testing for High-Dimensional Distributions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #264
Optimal Private Median Estimation under Minimal Distributional Assumptions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #265
Learning discrete distributions: user vs item-level privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #266
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #267
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #268
Phase retrieval in high dimensions: Statistical and computational phase transitions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #269
Higher-Order Spectral Clustering of Directed Graphs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #270
Deep Transformation-Invariant Clustering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #271
Faster DBSCAN via subsampled similarity queries
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #272
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #273
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #274
Exact Recovery of Mangled Clusters with Same-Cluster Queries
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #275
Simple and Scalable Sparse k-means Clustering via Feature Ranking
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #276
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #277
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #278
Classification with Valid and Adaptive Coverage
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #279
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #280
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #281
Distributionally Robust Local Non-parametric Conditional Estimation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #282
Differentially Private Clustering: Tight Approximation Ratios
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #283
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #284
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #285
Non-Euclidean Universal Approximation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #286
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #287
Deep Transformers with Latent Depth
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #288
Movement Pruning: Adaptive Sparsity by Fine-Tuning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #289
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #290
Pruning Filter in Filter
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #292
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #293
The Generalization-Stability Tradeoff In Neural Network Pruning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #294
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #295
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #296
HYDRA: Pruning Adversarially Robust Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #297
Logarithmic Pruning is All You Need
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #299
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #300
Higher-Order Certification For Randomized Smoothing
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #301
Adversarial robustness via robust low rank representations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #302
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #303
Margins are Insufficient for Explaining Gradient Boosting
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #304
On the Power of Louvain in the Stochastic Block Model
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #305
Robust large-margin learning in hyperbolic space
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #306
Self-Learning Transformations for Improving Gaze and Head Redirection
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #307
Exactly Computing the Local Lipschitz Constant of ReLU Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #308
Optimizing Mode Connectivity via Neuron Alignment
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #309
An Efficient Framework for Clustered Federated Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #310
On the distance between two neural networks and the stability of learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #311
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #312
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #313
Consequences of Misaligned AI
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #314
Certified Defense to Image Transformations via Randomized Smoothing
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #315
Certifying Strategyproof Auction Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #316
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #317
Improving robustness against common corruptions by covariate shift adaptation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #318
Deeply Learned Spectral Total Variation Decomposition
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #319
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #320
Multiscale Deep Equilibrium Models
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #321
Faithful Embeddings for Knowledge Base Queries
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #322
GradAug: A New Regularization Method for Deep Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #323
Monotone operator equilibrium networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #324
Hierarchical nucleation in deep neural networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #325
What Do Neural Networks Learn When Trained With Random Labels?
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #326
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #327
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #328
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #329
Wavelet Flow: Fast Training of High Resolution Normalizing Flows
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #330
Woodbury Transformations for Deep Generative Flows
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #331
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #332
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #333
Regret in Online Recommendation Systems
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #334
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #335
Myersonian Regression
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #336
On Convergence of Nearest Neighbor Classifiers over Feature Transformations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #337
Learning Utilities and Equilibria in Non-Truthful Auctions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #338
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #339
Secretary and Online Matching Problems with Machine Learned Advice
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #340
On the Error Resistance of Hinge-Loss Minimization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #341
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #342
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #343
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #344
A Bandit Learning Algorithm and Applications to Auction Design
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #345
No-regret Learning in Price Competitions under Consumer Reference Effects
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #346
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #347
Partially View-aligned Clustering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #348
MeshSDF: Differentiable Iso-Surface Extraction
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #349
Joint Policy Search for Multi-agent Collaboration with Imperfect Information
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #350
On Infinite-Width Hypernetworks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #351
Training Generative Adversarial Networks with Limited Data
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #352
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #353
A Self-Tuning Actor-Critic Algorithm
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #354
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #355
See, Hear, Explore: Curiosity via Audio-Visual Association
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #356
Finite-Time Analysis for Double Q-learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #357
Adaptive Discretization for Model-Based Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #358
Object Goal Navigation using Goal-Oriented Semantic Exploration
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #359
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #360
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #361
A new convergent variant of Q-learning with linear function approximation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #362
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #363
Adversarially Robust Streaming Algorithms via Differential Privacy
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #365
A Topological Filter for Learning with Label Noise
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #366
Learning by Minimizing the Sum of Ranked Range
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #367
Partial Optimal Transport with applications on Positive-Unlabeled Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #368
Assisted Learning: A Framework for Multi-Organization Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #369
Learning Disentangled Representations and Group Structure of Dynamical Environments
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #370
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #371
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #372
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #373
COBE: Contextualized Object Embeddings from Narrated Instructional Video
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #374
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #375
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #376
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #377
Probably Approximately Correct Constrained Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #378
Sharp uniform convergence bounds through empirical centralization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #379
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #380
Gaussian Gated Linear Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #381
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #382
Manifold structure in graph embeddings
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #383
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #384
Learning to Learn with Feedback and Local Plasticity
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #385
A Theoretical Framework for Target Propagation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #386
Inductive Quantum Embedding
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #387
Optimizing Neural Networks via Koopman Operator Theory
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #388
Biological credit assignment through dynamic inversion of feedforward networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #389
On 1/n neural representation and robustness
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #390
Real World Games Look Like Spinning Tops
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #391
Quantitative Propagation of Chaos for SGD in Wide Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #392
Network size and size of the weights in memorization with two-layers neural networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #393
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #394
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #395
Soft Contrastive Learning for Visual Localization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #396
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #397
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #398
Cross-Scale Internal Graph Neural Network for Image Super-Resolution
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #399
GPS-Net: Graph-based Photometric Stereo Network
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #400
Convolutional Generation of Textured 3D Meshes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #401
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #402
Neural Sparse Representation for Image Restoration
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #403
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #404
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #405
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #406
Learning Semantic-aware Normalization for Generative Adversarial Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #407
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #408
Learning to Detect Objects with a 1 Megapixel Event Camera
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #409
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #410
GANSpace: Discovering Interpretable GAN Controls
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #411
Deep Energy-based Modeling of Discrete-Time Physics
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #412
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #413
Weak Form Generalized Hamiltonian Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #414
Disentangling by Subspace Diffusion
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #415
Simultaneous Preference and Metric Learning from Paired Comparisons
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #416
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #417
Hold me tight! Influence of discriminative features on deep network boundaries
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #418
Training Generative Adversarial Networks by Solving Ordinary Differential Equations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #419
Sparse Graphical Memory for Robust Planning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #420
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #421
Bayesian Robust Optimization for Imitation Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #422
Learning Parities with Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #423
Learning the Linear Quadratic Regulator from Nonlinear Observations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #424
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #425
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #426
On the Theory of Transfer Learning: The Importance of Task Diversity
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #427
Online Agnostic Boosting via Regret Minimization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #428
Minimax Classification with 0-1 Loss and Performance Guarantees
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #429
Robust Density Estimation under Besov IPM Losses
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #430
Online Multitask Learning with Long-Term Memory
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #431
Improving Local Identifiability in Probabilistic Box Embeddings
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #432
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #433
Synthetic Data Generators -- Sequential and Private
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #434
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #435
Statistical-Query Lower Bounds via Functional Gradients
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #436
PAC-Bayes Learning Bounds for Sample-Dependent Priors
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #437
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #438
Decision trees as partitioning machines to characterize their generalization properties
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #439
A Limitation of the PAC-Bayes Framework
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #440
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #441
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #442
PAC-Bayes Analysis Beyond the Usual Bounds
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #443
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #444
Probabilistic Orientation Estimation with Matrix Fisher Distributions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #445
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #446
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #447
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #448
Calibrating CNNs for Lifelong Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #449
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #450
Diverse Image Captioning with Context-Object Split Latent Spaces
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #451
An Analysis of SVD for Deep Rotation Estimation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #452
DISK: Learning local features with policy gradient
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #453
Wasserstein Distances for Stereo Disparity Estimation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #454
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #455
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #456
A Dictionary Approach to Domain-Invariant Learning in Deep Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #457
Balanced Meta-Softmax for Long-Tailed Visual Recognition
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #458
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #459
Sparse Symplectically Integrated Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #460
Node Embeddings and Exact Low-Rank Representations of Complex Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #461
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #462
Towards Understanding Hierarchical Learning: Benefits of Neural Representations
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #463
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #464
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #465
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #466
Universal guarantees for decision tree induction via a higher-order splitting criterion
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #467
Learning Restricted Boltzmann Machines with Sparse Latent Variables
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #468
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #469
Hedging in games: Faster convergence of external and swap regrets
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #470
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #471
In search of robust measures of generalization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #472
On Convergence and Generalization of Dropout Training
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #473
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #474
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #475
Correspondence learning via linearly-invariant embedding
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #476
PIE-NET: Parametric Inference of Point Cloud Edges
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #477
Neural Non-Rigid Tracking
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #478
Continuous Surface Embeddings
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #479
Learning to Orient Surfaces by Self-supervised Spherical CNNs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #480
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #481
Neural Unsigned Distance Fields for Implicit Function Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #482
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #483
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #484
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #485
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #486
3D Shape Reconstruction from Vision and Touch
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #487
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #488
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #489
Neural Sparse Voxel Fields
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #490
RepPoints v2: Verification Meets Regression for Object Detection
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #491
Efficient Contextual Bandits with Continuous Actions
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #492
Collapsing Bandits and Their Application to Public Health Intervention
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #493
Learning to Play Sequential Games versus Unknown Opponents
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #494
Interferobot: aligning an optical interferometer by a reinforcement learning agent
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #495
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #496
Reinforcement Learning with Feedback Graphs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #497
A Unifying View of Optimism in Episodic Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #498
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #499
On Reward-Free Reinforcement Learning with Linear Function Approximation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #500
On Efficiency in Hierarchical Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #501
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #502
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #503
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #504
High-Throughput Synchronous Deep RL
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #505
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #507
Dynamic Submodular Maximization
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #508
Adaptive Shrinkage Estimation for Streaming Graphs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #509
Near-Optimal Comparison Based Clustering
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #510
Impossibility Results for Grammar-Compressed Linear Algebra
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #511
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #512
Submodular Meta-Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #513
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #514
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #515
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #516
Efficient active learning of sparse halfspaces with arbitrary bounded noise
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #517
Learning Structured Distributions From Untrusted Batches: Faster and Simpler
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #519
Outlier Robust Mean Estimation with Subgaussian Rates via Stability
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #520
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #521
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #522
PAC-Bayesian Bound for the Conditional Value at Risk
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #523
Universal Function Approximation on Graphs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #524
Model Class Reliance for Random Forests
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #525
Hypersolvers: Toward Fast Continuous-Depth Models
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #526
Almost Surely Stable Deep Dynamics
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #527
Learning Optimal Representations with the Decodable Information Bottleneck
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #528
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #529
Measuring Systematic Generalization in Neural Proof Generation with Transformers
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #530
Online Decision Based Visual Tracking via Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #531
On the Modularity of Hypernetworks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #532
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #533
Counterexample-Guided Learning of Monotonic Neural Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #534
Permute-and-Flip: A new mechanism for differentially private selection
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #535
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #536
Spike and slab variational Bayes for high dimensional logistic regression
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #537
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #538
Learning discrete distributions with infinite support
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #539
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #540
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #541
Instance-based Generalization in Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #542
Efficient Planning in Large MDPs with Weak Linear Function Approximation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #543
Multi-agent active perception with prediction rewards
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #544
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #545
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #546
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #547
Model-based Policy Optimization with Unsupervised Model Adaptation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #548
Deep Reinforcement and InfoMax Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #549
Zap Q-Learning With Nonlinear Function Approximation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #550
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #551
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #552
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #553
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #554
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #555
Self-Supervised MultiModal Versatile Networks
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #556
Deep Subspace Clustering with Data Augmentation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #557
Learning Retrospective Knowledge with Reverse Reinforcement Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #558
The MAGICAL Benchmark for Robust Imitation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #559
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #560
Counterfactual Data Augmentation using Locally Factored Dynamics
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #561
POMDPs in Continuous Time and Discrete Spaces
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #562
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #563
Forethought and Hindsight in Credit Assignment
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #564
Learning Multi-Agent Communication through Structured Attentive Reasoning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #565
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #566
Influence-Augmented Online Planning for Complex Environments
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #567
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #568
Provably Efficient Neural GTD for Off-Policy Learning
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #569
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay
[ Paper ]
Poster
Tue Dec 08 09:00 AM -- 11:00 AM (PST) @ Poster Session 1 #1020
Comparator-Adaptive Convex Bandits
[ Paper ]
Symposium
Tue Dec 08 12:00 PM -- 04:00 PM (PST)
COVID-19 Symposium Day 1
Tutorial
Tue Dec 08 12:00 PM -- 12:50 PM (PST)
(Track3) Offline Reinforcement Learning: From Algorithm Design to Practical Applications Q&A
Tutorial
Tue Dec 08 01:00 PM -- 01:50 PM (PST)
(Track1) Sketching and Streaming Algorithms Q&A
Tutorial
Tue Dec 08 02:00 PM -- 02:50 PM (PST)
(Track2) Beyond Accuracy: Grounding Evaluation Metrics for Human-Machine Learning Systems Q&A
Invited Talk
Tue Dec 08 05:00 PM -- 07:00 PM (PST)
Robustness, Verification, Privacy: Addressing Machine Learning Adversaries
[
Video 1]
Demonstration
Tue Dec 08 06:00 PM -- 06:20 PM & Wed Dec 09 06:00 PM -- 06:20 PM (PST)
LMdiff: A Visual Diff Tool to Compare LanguageModels
Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Vision Applications
Space-Time Correspondence as a Contrastive Random Walk
[ Paper ]
Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Implicit Neural Representations with Periodic Activation Functions
[ Paper ]
Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
[ Paper ]
Session
Tue Dec 08 06:00 PM -- 09:20 PM & Wed Dec 09 06:00 PM -- 09:20 PM (PST)
Demonstrations 2
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Vision Applications
Rethinking Pre-training and Self-training
[ Paper ]
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
[ Paper ]
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Learning Individually Inferred Communication for Multi-Agent Cooperation
[ Paper ]
Demonstration
Tue Dec 08 06:20 PM -- 06:40 PM & Wed Dec 09 06:20 PM -- 06:40 PM (PST)
AI Assisted Data Labeling
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Vision Applications
Do Adversarially Robust ImageNet Models Transfer Better?
[ Paper ]
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
[ Paper ]
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
[ Paper ]
Demonstration
Tue Dec 08 06:40 PM -- 07:00 PM & Wed Dec 09 06:40 PM -- 07:00 PM (PST)
Automated dataset extraction from SEC filings
Break
Tue Dec 08 06:45 PM -- 07:00 PM (PST)
Break
Break
Tue Dec 08 06:45 PM -- 07:00 PM (PST)
Break
Break
Tue Dec 08 06:45 PM -- 07:00 PM (PST)
Break
Demonstration
Tue Dec 08 07:00 PM -- 07:20 PM & Wed Dec 09 07:00 PM -- 07:20 PM (PST)
Generating Novelty in Open-World Multi-Agent Strategic Board Games
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Vision Applications
Self-Supervised Visual Representation Learning from Hierarchical Grouping
[ Paper ]
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
[ Paper ]
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Reinforcement Learning with Augmented Data
[ Paper ]
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Vision Applications
Learning Affordance Landscapes for Interaction Exploration in 3D Environments
[ Paper ]
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
[ Paper ]
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Sub-sampling for Efficient Non-Parametric Bandit Exploration
[ Paper ]
Demonstration
Tue Dec 08 07:20 PM -- 07:40 PM & Wed Dec 09 07:20 PM -- 07:40 PM (PST)
Fast and Automatic Visual Label Conflict Resolution
Spotlight
Tue Dec 08 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Vision Applications
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D
[