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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Variational image compression with a scale hyperprior
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
NerveNet: Learning Structured Policy with Graph Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Proximal Backpropagation
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
On the Expressive Power of Overlapping Architectures of Deep Learning
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
The Implicit Bias of Gradient Descent on Separable Data
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Multi-level Residual Networks from Dynamical Systems View
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Learning Deep Mean Field Games for Modeling Large Population Behavior
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
Implicit Causal Models for Genome-wide Association Studies
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Unsupervised Cipher Cracking Using Discrete GANs
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Not-So-Random Features
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Reinforcement Learning Algorithm Selection
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Improving GANs Using Optimal Transport
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Efficient Sparse-Winograd Convolutional Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
An Online Learning Approach to Generative Adversarial Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
Espresso: Efficient Forward Propagation for Binary Deep Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Learning Wasserstein Embeddings
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Towards Neural Phrase-based Machine Translation
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Noisy Networks For Exploration
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Training wide residual networks for deployment using a single bit for each weight
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Learning Discrete Weights Using the Local Reparameterization Trick
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Regularizing and Optimizing LSTM Language Models
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Active Neural Localization
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Memory Augmented Control Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
Learning how to explain neural networks: PatternNet and PatternAttribution
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
A New Method of Region Embedding for Text Classification
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
Distributed Fine-tuning of Language Models on Private Data
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
Automatically Inferring Data Quality for Spatiotemporal Forecasting
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Decoupling the Layers in Residual Networks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Learning to cluster in order to transfer across domains and tasks
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Natural Language Inference over Interaction Space
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Consequentialist conditional cooperation in social dilemmas with imperfect information
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Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
SMASH: One-Shot Model Architecture Search through HyperNetworks
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