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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
Johannes Ballé · David Minnen · Saurabh Singh · Sung Jin Hwang · Nick Johnston
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
Tingwu Wang · Renjie Liao · Jimmy Ba · Sanja Fidler
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Proximal Backpropagation
Thomas Frerix · Thomas Möllenhoff · Michael Moeller · Daniel Cremers
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
Or Sharir · Amnon Shashua
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
Daniel Soudry · Elad Hoffer · Mor Shpigel Nacson · Nathan Srebro
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
Bo Chang · Lili Meng · Eldad Haber · Frederick Tung · David Begert
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
Jiachen Yang · Xiaojing Ye · Rakshit Trivedi · huan xu · Hongyuan Zha
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
Xu Chen · Jiang Wang · Hao Ge
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
Dustin Tran · David Blei
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Unsupervised Cipher Cracking Using Discrete GANs
Aidan Gomez · Sicong(Sheldon) Huang · Ivan Zhang · Bryan Li · Muhammad Osama · Lukasz Kaiser
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
Chris Donahue · Zachary Lipton · Akshay Balsubramani · Julian McAuley
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Not-So-Random Features
Brian Bullins · Cyril Zhang · Yi Zhang
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
Samuel Smith · Quoc V Le
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
Youngjin Kim · Minjung Kim · Gunhee Kim
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Reinforcement Learning Algorithm Selection
Romain Laroche · Raphaël Féraud
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Improving GANs Using Optimal Transport
Tim Salimans · Han Zhang · Alec Radford · Dimitris Metaxas
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu · Jeff Pool · song han · Bill Dally
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
Glen Berseth · Cheng Xie · Paul Cernek · Michiel van de Panne
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
Paulina Grnarova · Kfir Y Levy · Aurelien Lucchi · Thomas Hofmann · Andreas Krause
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
Fabrizio Pedersoli · George Tzanetakis · Andrea Tagliasacchi
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Learning Wasserstein Embeddings
Nicolas Courty · Rémi Flamary · Mélanie Ducoffe
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Towards Neural Phrase-based Machine Translation
Po-Sen Huang · Chong Wang · Sitao Huang · Dengyong Zhou · Li Deng
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Noisy Networks For Exploration
Meire Fortunato · Mohammad Gheshlaghi Azar · Bilal Piot · Jacob Menick · Matteo Hessel · Ian Osband · Alex Graves · Volodymyr Mnih · Remi Munos · Demis Hassabis · Olivier Pietquin · Charles Blundell · Shane Legg
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
Alexandre Péré · Sébastien Forestier · Olivier Sigaud · Pierre-Yves Oudeyer
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
Yoav Levine · David Yakira · Nadav Cohen · Amnon Shashua
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
Mark D. McDonnell
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
Víctor Campos · Brendan Jou · Xavier Giro-i-Nieto · Jordi Torres · Shih-Fu Chang
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
Erin Grant · Chelsea Finn · Sergey Levine · Trevor Darrell · Thomas L Griffiths
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
Oran Shayer · Dan Levi · Ethan Fetaya
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Regularizing and Optimizing LSTM Language Models
Stephen Merity · Nitish Shirish Keskar · richard socher
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Active Neural Localization
Devendra Singh Chaplot · Emilio Parisotto · Ruslan Salakhutdinov
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Memory Augmented Control Networks
Arbaaz Khan · Clark Zhang · Nikolay Atanasov · Konstantinos Karydis · Vijay Kumar · Daniel D Lee
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
Pieter-Jan Kindermans · Kristof T Schütt · Maximilian Alber · Klaus R Muller · Dumitru Erhan · Been Kim · Sven Dähne
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
Chao Qiao · Bo Huang · Guocheng Niu · daren li · daxiang dong · wei he · Dianhai Yu · hua wu
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
Vadim Popov · Mikhail Kudinov · Irina Piontkovskaya · Petr Vytovtov · Alex Nevidomsky
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
Sungyong Seo · Arash Mohegh · George Ban-Weiss · Yan Liu
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
Pan Zhou · Jiashi Feng · Pan Zhou
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Decoupling the Layers in Residual Networks
Ricky Fok · Aijun An · Zana Rashidi · Xiaogang Wang
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
Yen-Chang Hsu · Zhaoyang Lv · Zsolt Kira
Poster
Thu May 03 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Natural Language Inference over Interaction Space
Yichen Gong · Heng Luo · Jian Zhang
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
Alex Peysakhovich · Adam Lerer
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
Andrew Brock · Theo Lim · James Ritchie · Nick Weston
Break
Thu May 3rd 06:30 -- 08:30 PM @ Exhibition Hall B
Banquet