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