(43 events)
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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
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Proximal Backpropagation
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
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
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
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
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
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Unsupervised Cipher Cracking Using Discrete GANs
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Not-So-Random Features
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
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Reinforcement Learning Algorithm Selection
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Improving GANs Using Optimal Transport
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Efficient Sparse-Winograd Convolutional Neural Networks
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
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
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Learning Wasserstein Embeddings
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Towards Neural Phrase-based Machine Translation
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Noisy Networks For Exploration
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
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
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
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
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
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Regularizing and Optimizing LSTM Language Models
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Active Neural Localization
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Memory Augmented Control Networks
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
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
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
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
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Decoupling the Layers in Residual Networks
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
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Natural Language Inference over Interaction Space
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
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