Toggle Poster Visibility
Invited Talk
Wed May 08 07:00 AM -- 07:45 AM (PDT) @ Great Hall AD
Developmental Autonomous Learning: AI, Cognitive Sciences and Educational Technology
Oral
Wed May 08 07:45 AM -- 08:00 AM (PDT) @ Great Hall AD
Learning deep representations by mutual information estimation and maximization
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Indexed Video]
Break
Wed May 08 08:00 AM -- 06:30 PM (PDT)
Registration Desk Open
Oral
Wed May 08 08:00 AM -- 08:15 AM (PDT) @ Great Hall AD
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
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Indexed Video]
Oral
Wed May 08 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
Deterministic Variational Inference for Robust Bayesian Neural Networks
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Indexed Video]
Oral
Wed May 08 08:30 AM -- 08:45 AM (PDT) @ Great Hall AD
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
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Indexed Video]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #1
Soft Q-Learning with Mutual-Information Regularization
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #2
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #3
Visceral Machines: Risk-Aversion in Reinforcement Learning with Intrinsic Physiological Rewards
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #4
Knowledge Flow: Improve Upon Your Teachers
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #5
Meta-learning with differentiable closed-form solvers
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #6
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #7
Probabilistic Planning with Sequential Monte Carlo methods
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #8
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #9
Combinatorial Attacks on Binarized Neural Networks
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #11
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #12
Two-Timescale Networks for Nonlinear Value Function Approximation
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #14
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #15
Competitive experience replay
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #18
Neural Program Repair by Jointly Learning to Localize and Repair
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #19
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #20
Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #21
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #22
Learning Actionable Representations with Goal Conditioned Policies
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #23
Neural Graph Evolution: Automatic Robot Design
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #24
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #25
Episodic Curiosity through Reachability
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #26
A new dog learns old tricks: RL finds classic optimization algorithms
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #27
Optimal Completion Distillation for Sequence Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #28
Hierarchical Visuomotor Control of Humanoids
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #29
Meta-Learning For Stochastic Gradient MCMC
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #30
Environment Probing Interaction Policies
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #31
Relational Forward Models for Multi-Agent Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #33
Emergent Coordination Through Competition
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #34
Variance Reduction for Reinforcement Learning in Input-Driven Environments
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #35
A comprehensive, application-oriented study of catastrophic forgetting in DNNs
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #36
Information asymmetry in KL-regularized RL
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #37
Modeling the Long Term Future in Model-Based Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #38
Synthetic Datasets for Neural Program Synthesis
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #39
Unsupervised Learning via Meta-Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #40
Learning to Navigate the Web
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #41
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #42
Sample Efficient Adaptive Text-to-Speech
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #43
CEM-RL: Combining evolutionary and gradient-based methods for policy search
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #44
An Empirical Study of Example Forgetting during Deep Neural Network Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #45
Learning Multi-Level Hierarchies with Hindsight
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #46
Reward Constrained Policy Optimization
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #47
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #48
Supervised Policy Update for Deep Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #49
Towards Metamerism via Foveated Style Transfer
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #50
Deep Online Learning Via Meta-Learning: Continual Adaptation for Model-Based RL
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #51
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #52
Analysing Mathematical Reasoning Abilities of Neural Models
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #53
Execution-Guided Neural Program Synthesis
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #54
Learning deep representations by mutual information estimation and maximization
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #55
Meta-Learning Probabilistic Inference for Prediction
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #56
Solving the Rubik's Cube with Approximate Policy Iteration
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #57
Universal Successor Features Approximators
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #58
Information-Directed Exploration for Deep Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #59
Learning Exploration Policies for Navigation
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #61
ProMP: Proximal Meta-Policy Search
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #62
AutoLoss: Learning Discrete Schedule for Alternate Optimization
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #63
Neural Probabilistic Motor Primitives for Humanoid Control
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #65
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #68
Exploration by random network distillation
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #69
Composing Complex Skills by Learning Transition Policies
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #70
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #71
Measuring and regularizing networks in function space
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #72
Learning to Schedule Communication in Multi-agent Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #73
LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #74
NADPEx: An on-policy temporally consistent exploration method for deep reinforcement learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #75
Policy Transfer with Strategy Optimization
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #76
Large-Scale Study of Curiosity-Driven Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #77
Diversity is All You Need: Learning Skills without a Reward Function
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #78
Preferences Implicit in the State of the World
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #79
Learning to Learn with Conditional Class Dependencies
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #80
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #81
Efficient Lifelong Learning with A-GEM
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #82
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #83
Automatically Composing Representation Transformations as a Means for Generalization
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #84
Contingency-Aware Exploration in Reinforcement Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #85
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #86
A Closer Look at Few-shot Classification
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #87
On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #88
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #89
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
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Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #90
Selfless Sequential Learning
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Break
Wed May 08 10:45 AM -- 11:00 AM (PDT) @ Hall B-1
Coffee Break
Invited Talk
Wed May 08 12:30 PM -- 01:15 PM (PDT) @ Great Hall AD
While We're All Worried about Failures of Machine Learning, What Dangers Lurk If It (Mostly) Works?
Break
Wed May 08 01:00 PM -- 02:30 PM (PDT) @ on your own
Lunch - on your own
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #1
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #2
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #3
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #4
Learning to Make Analogies by Contrasting Abstract Relational Structure
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #5
Deep Frank-Wolfe For Neural Network Optimization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #6
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #7
A2BCD: Asynchronous Acceleration with Optimal Complexity
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #8
An analytic theory of generalization dynamics and transfer learning in deep linear networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #10
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #11
Towards Understanding Regularization in Batch Normalization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #12
A Mean Field Theory of Batch Normalization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #13
Predicting the Generalization Gap in Deep Networks with Margin Distributions
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #14
An Empirical study of Binary Neural Networks' Optimisation
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #15
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #16
Efficient Training on Very Large Corpora via Gramian Estimation
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #17
Small nonlinearities in activation functions create bad local minima in neural networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #18
Fluctuation-dissipation relations for stochastic gradient descent
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #20
The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #21
Optimal Control Via Neural Networks: A Convex Approach
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #22
NOODL: Provable Online Dictionary Learning and Sparse Coding
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #23
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #24
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #25
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #26
Relaxed Quantization for Discretized Neural Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #27
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #28
signSGD with Majority Vote is Communication Efficient and Fault Tolerant
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #29
Preconditioner on Matrix Lie Group for SGD
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #30
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #31
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #32
Rethinking the Value of Network Pruning
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #33
Learning Embeddings into Entropic Wasserstein Spaces
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #34
Deep Layers as Stochastic Solvers
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #35
Initialized Equilibrium Propagation for Backprop-Free Training
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #36
Caveats for information bottleneck in deterministic scenarios
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #37
Learning Two-layer Neural Networks with Symmetric Inputs
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #38
Sparse Dictionary Learning by Dynamical Neural Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #39
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #40
Gradient descent aligns the layers of deep linear networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #41
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #42
Learning Self-Imitating Diverse Policies
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #43
On the Universal Approximability and Complexity Bounds of Quantized ReLU Neural Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #44
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #46
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #47
The role of over-parametrization in generalization of neural networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #48
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #50
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #51
Learning concise representations for regression by evolving networks of trees
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #52
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #53
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #54
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #55
Three Mechanisms of Weight Decay Regularization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #56
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #57
Quasi-hyperbolic momentum and Adam for deep learning
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #58
Towards Robust, Locally Linear Deep Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #59
InfoBot: Transfer and Exploration via the Information Bottleneck
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #61
Aggregated Momentum: Stability Through Passive Damping
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #62
From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #63
Riemannian Adaptive Optimization Methods
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #64
Regularized Learning for Domain Adaptation under Label Shifts
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #65
DeepOBS: A Deep Learning Optimizer Benchmark Suite
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #66
Fixup Initialization: Residual Learning Without Normalization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #67
Learning sparse relational transition models
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #68
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #69
On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #70
A Kernel Random Matrix-Based Approach for Sparse PCA
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #71
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #72
Critical Learning Periods in Deep Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #73
Local SGD Converges Fast and Communicates Little
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #74
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #75
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #76
Analysis of Quantized Models
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #77
Adaptive Estimators Show Information Compression in Deep Neural Networks
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #78
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #79
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #80
Decoupled Weight Decay Regularization
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #81
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #82
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #83
Minimum Divergence vs. Maximum Margin: an Empirical Comparison on Seq2Seq Models
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #84
Subgradient Descent Learns Orthogonal Dictionaries
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #85
ProxQuant: Quantized Neural Networks via Proximal Operators
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #86
Systematic Generalization: What Is Required and Can It Be Learned?
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Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #87
Deep Anomaly Detection with Outlier Exposure
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Break
Wed May 08 04:15 PM -- 04:30 PM (PDT) @ Hall B-1
Coffee Break