(183 events)
Timezone: »
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
[
PDF]
[
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
[
PDF]
[
Indexed Video]
Oral
Wed May 08 08:15 AM -- 08:30 AM (PDT) @ Great Hall AD
Deterministic Variational Inference for Robust Bayesian Neural Networks
[
PDF]
[
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
[
PDF]
[
Indexed Video]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #1
Soft Q-Learning with Mutual-Information Regularization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #2
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #4
Knowledge Flow: Improve Upon Your Teachers
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #5
Meta-learning with differentiable closed-form solvers
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #7
Probabilistic Planning with Sequential Monte Carlo methods
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #9
Combinatorial Attacks on Binarized Neural Networks
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #12
Two-Timescale Networks for Nonlinear Value Function Approximation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #13
KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #14
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #15
Competitive experience replay
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #17
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #21
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #22
Learning Actionable Representations with Goal Conditioned Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #23
Neural Graph Evolution: Automatic Robot Design
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #25
Episodic Curiosity through Reachability
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #27
Optimal Completion Distillation for Sequence Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #28
Hierarchical Visuomotor Control of Humanoids
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #29
Meta-Learning For Stochastic Gradient MCMC
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #30
Environment Probing Interaction Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #31
Relational Forward Models for Multi-Agent Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #32
Deterministic Variational Inference for Robust Bayesian Neural Networks
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #33
Emergent Coordination Through Competition
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #34
Variance Reduction for Reinforcement Learning in Input-Driven Environments
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #36
Information asymmetry in KL-regularized RL
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #38
Synthetic Datasets for Neural Program Synthesis
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #39
Unsupervised Learning via Meta-Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #40
Learning to Navigate the Web
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #42
Sample Efficient Adaptive Text-to-Speech
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #45
Learning Multi-Level Hierarchies with Hindsight
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #46
Reward Constrained Policy Optimization
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #48
Supervised Policy Update for Deep Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #49
Towards Metamerism via Foveated Style Transfer
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #51
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #52
Analysing Mathematical Reasoning Abilities of Neural Models
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #53
Execution-Guided Neural Program Synthesis
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #54
Learning deep representations by mutual information estimation and maximization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #55
Meta-Learning Probabilistic Inference for Prediction
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #56
Solving the Rubik's Cube with Approximate Policy Iteration
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #57
Universal Successor Features Approximators
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #58
Information-Directed Exploration for Deep Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #59
Learning Exploration Policies for Navigation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #61
ProMP: Proximal Meta-Policy Search
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #62
AutoLoss: Learning Discrete Schedule for Alternate Optimization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #63
Neural Probabilistic Motor Primitives for Humanoid Control
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #67
The Laplacian in RL: Learning Representations with Efficient Approximations
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #68
Exploration by random network distillation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #69
Composing Complex Skills by Learning Transition Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #70
Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #71
Measuring and regularizing networks in function space
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #72
Learning to Schedule Communication in Multi-agent Reinforcement Learning
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #75
Policy Transfer with Strategy Optimization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #76
Large-Scale Study of Curiosity-Driven Learning
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #78
Preferences Implicit in the State of the World
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #79
Learning to Learn with Conditional Class Dependencies
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #80
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #81
Efficient Lifelong Learning with A-GEM
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #83
Automatically Composing Representation Transformations as a Means for Generalization
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #84
Contingency-Aware Exploration in Reinforcement Learning
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #85
Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #86
A Closer Look at Few-shot Classification
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #89
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
[
PDF]
Poster
Wed May 08 09:00 AM -- 11:00 AM (PDT) @ Great Hall BC #90
Selfless Sequential Learning
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #4
Learning to Make Analogies by Contrasting Abstract Relational Structure
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #5
Deep Frank-Wolfe For Neural Network Optimization
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #7
A2BCD: Asynchronous Acceleration with Optimal Complexity
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #9
Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #10
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #11
Towards Understanding Regularization in Batch Normalization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #12
A Mean Field Theory of Batch Normalization
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #14
An Empirical study of Binary Neural Networks' Optimisation
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #16
Efficient Training on Very Large Corpora via Gramian Estimation
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #18
Fluctuation-dissipation relations for stochastic gradient descent
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #21
Optimal Control Via Neural Networks: A Convex Approach
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #22
NOODL: Provable Online Dictionary Learning and Sparse Coding
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #26
Relaxed Quantization for Discretized Neural Networks
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #29
Preconditioner on Matrix Lie Group for SGD
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #32
Rethinking the Value of Network Pruning
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #33
Learning Embeddings into Entropic Wasserstein Spaces
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #34
Deep Layers as Stochastic Solvers
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #35
Initialized Equilibrium Propagation for Backprop-Free Training
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #36
Caveats for information bottleneck in deterministic scenarios
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #37
Learning Two-layer Neural Networks with Symmetric Inputs
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #38
Sparse Dictionary Learning by Dynamical Neural Networks
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #40
Gradient descent aligns the layers of deep linear networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #41
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #42
Learning Self-Imitating Diverse Policies
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #44
Adaptive Gradient Methods with Dynamic Bound of Learning Rate
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #53
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #54
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #55
Three Mechanisms of Weight Decay Regularization
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #57
Quasi-hyperbolic momentum and Adam for deep learning
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #58
Towards Robust, Locally Linear Deep Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #59
InfoBot: Transfer and Exploration via the Information Bottleneck
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #61
Aggregated Momentum: Stability Through Passive Damping
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #63
Riemannian Adaptive Optimization Methods
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #64
Regularized Learning for Domain Adaptation under Label Shifts
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #65
DeepOBS: A Deep Learning Optimizer Benchmark Suite
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #66
Fixup Initialization: Residual Learning Without Normalization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #67
Learning sparse relational transition models
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #68
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #70
A Kernel Random Matrix-Based Approach for Sparse PCA
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #71
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #72
Critical Learning Periods in Deep Networks
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #73
Local SGD Converges Fast and Communicates Little
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #76
Analysis of Quantized Models
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #77
Adaptive Estimators Show Information Compression in Deep Neural Networks
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #79
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #80
Decoupled Weight Decay Regularization
[
PDF]
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
[
PDF]
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
[
PDF]
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
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #84
Subgradient Descent Learns Orthogonal Dictionaries
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #85
ProxQuant: Quantized Neural Networks via Proximal Operators
[
PDF]
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?
[
PDF]
Poster
Wed May 08 02:30 PM -- 04:30 PM (PDT) @ Great Hall BC #87
Deep Anomaly Detection with Outlier Exposure
[
PDF]
Break
Wed May 08 04:15 PM -- 04:30 PM (PDT) @ Hall B-1
Coffee Break