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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
A Simple Neural Attentive Meta-Learner
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Dynamic Neural Program Embeddings for Program Repair
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Stochastic Activation Pruning for Robust Adversarial Defense
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Do GANs learn the distribution? Some Theory and Empirics
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Learning Parametric Closed-Loop Policies for Markov Potential Games
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Learning Approximate Inference Networks for Structured Prediction
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Fidelity-Weighted Learning
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
On the Convergence of Adam and Beyond
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Generalizing Across Domains via Cross-Gradient Training
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Understanding image motion with group representations
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
Matrix capsules with EM routing
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Global Optimality Conditions for Deep Neural Networks
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Divide-and-Conquer Reinforcement Learning
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
i-RevNet: Deep Invertible Networks
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
Multi-View Data Generation Without View Supervision
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Action-dependent Control Variates for Policy Optimization via Stein Identity
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Model-Ensemble Trust-Region Policy Optimization
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Generating Wikipedia by Summarizing Long Sequences
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Neural Language Modeling by Jointly Learning Syntax and Lexicon
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
An efficient framework for learning sentence representations
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Latent Space Oddity: on the Curvature of Deep Generative Models
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Variational Message Passing with Structured Inference Networks
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
SCAN: Learning Hierarchical Compositional Visual Concepts
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Learning From Noisy Singly-labeled Data
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Gaussian Process Behaviour in Wide Deep Neural Networks
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Wavelet Pooling for Convolutional Neural Networks
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
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Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
Learning Intrinsic Sparse Structures within Long Short-Term Memory
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