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Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #1
Kernel Implicit Variational Inference
Jiaxin Shi · Shengyang Sun · Jun Zhu
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #2
Generative networks as inverse problems with Scattering transforms
Tomas Angles · Stéphane Mallat
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #3
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Carlos Riquelme · George Tucker · Jasper Snoek
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #4
Large Scale Optimal Transport and Mapping Estimation
Vivien Seguy · Bharath Bhushan Damodaran · Rémi Flamary · Nicolas Courty · Antoine Rolet · Mathieu Blondel
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #5
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl · Dami Choi · Yuhuai Wu · Geoffrey Roeder · David Duvenaud
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #6
Activation Maximization Generative Adversarial Nets
Zhiming Zhou · Han Cai · Shu Rong · Yuxuan Song · Kan Ren · Weinan Zhang · Jun Wang · Yong Yu
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #7
Parameter Space Noise for Exploration
Matthias Plappert · Rein Houthooft · Prafulla Dhariwal · Szymon Sidor · Richard Chen · Xi Chen · Tamim Asfour · Pieter Abbeel · Marcin Andrychowicz
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #8
AmbientGAN: Generative models from lossy measurements
Ashish Bora · Eric Price · Alexandros Dimakis
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #9
RESIDUAL LOSS PREDICTION: REINFORCEMENT LEARNING WITH NO INCREMENTAL FEEDBACK
Hal Daumé III · John Langford · Paul Mineiro · Amr Mohamed Nabil Aly Aly Sharaf
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #10
Mitigating Adversarial Effects Through Randomization
cihang xie · Jianyu Wang · Zhishuai Zhang · Zhou Ren · Alan Yuille
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #11
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Yuhuai Wu · Mengye Ren · Renjie Liao · Roger Grosse
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #12
Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh · Max Augustin · Mario Fritz · Bernt Schiele
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #13
The High-Dimensional Geometry of Binary Neural Networks
Alexander Anderson · Cory P Berg
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #14
On the Discrimination-Generalization Tradeoff in GANs
Pengchuan Zhang · Qiang Liu · Dengyong Zhou · Tao Xu · Xiaodong He
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #15
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization
Ozsel Kilinc · Ismail Uysal
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #16
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner · Bernhard Nessler · Calvin Seward · Günter Klambauer · Martin Heusel · Hubert Ramsauer · Sepp Hochreiter
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #17
Learning to Multi-Task by Active Sampling
Sahil Sharma · Ashutosh Kumar Jha · Parikshit Hegde · Balaraman Ravindran
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #18
Learning from Between-class Examples for Deep Sound Recognition
Yuji Tokozume · Yoshitaka Ushiku · Tatsuya Harada
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #19
Emergent Complexity via Multi-Agent Competition
Trapit Bansal · Jakub Pachocki · Szymon Sidor · Ilya Sutskever · Igor Mordatch
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #20
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Lior Fox · Leshem Choshen · Yonatan Loewenstein
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #21
Polar Transformer Networks
Carlos Esteves · Christine Allen-Blanchette · Xiaowei Zhou · Kostas Daniilidis
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #22
Compositional Obverter Communication Learning from Raw Visual Input
Edward Choi · Angeliki Lazaridou · Nando d Freitas
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #23
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
Yi Zhou · Zimo Li · Shuangjiu Xiao · Chong He · Zeng Huang · Hao Li
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #24
Multi-Task Learning for Document Ranking and Query Suggestion
Wasi Ahmad · Kai-Wei Chang · Hongning Wang
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #25
Adaptive Quantization of Neural Networks
Soroosh Khoram · Jing Li
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #26
Interactive Grounded Language Acquisition and Generalization in a 2D World
Haonan Yu · Haichao Zhang · Wei Xu
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #27
Hyperparameter optimization: a spectral approach
Elad Hazan · Adam Klivans · Yang Yuan
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #28
Deep Learning with Logged Bandit Feedback
Thorsten Joachims · Adith Swaminathan · Maarten de Rijke
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #29
Generalizing Hamiltonian Monte Carlo with Neural Networks
Daniel Levy · Matthew D Hoffman · Jascha Sohl-Dickstein
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #30
Detecting Statistical Interactions from Neural Network Weights
Michael Tsang · Dehua Cheng · Yan Liu
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #31
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective
Seyed Mohsen Moosavi Dezfooli · Alhussein Fawzi · Omar Fawzi · Pascal Frossard ·
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #32
Adaptive Dropout with Rademacher Complexity Regularization
Ke Zhai · Huan Wang
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #33
Mixed Precision Training
Paulius Micikevicius · SHARAN NARANG · Jonah Alben · Gregory Diamos · Erich K Elsen · David Garcia · Boris Ginsburg · Michael Houston · Oleksii Kuchaiev · Ganesh Venkatesh · Hao Wu
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #34
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham · Kelly Stanton · Henry (Fangyi) Li · Ronen Basri · Boaz Nadler · Yuval Kluger
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #35
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec · David Kappel · Wolfgang Maass · Robert Legenstein
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #36
A Neural Representation of Sketch Drawings
David Ha · Douglas Eck
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #37
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel · Matthew Hausknecht · Jacob Devlin · Rishabh Singh · Pushmeet Kohli
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #38
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
Jiaqi Mu · Pramod Viswanath
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #39
Graph Attention Networks
Petar Veličković · Guillem Cucurull Preixens · Arantxa Casanova Paga · Adriana Romero · Pietro Liò · Yoshua Bengio
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #40
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona · Enea Ceolini · Cengiz Öztireli · Markus Gross
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #41
Critical Percolation as a Framework to Analyze the Training of Deep Networks
Zohar Ringel · Rodrigo Andrade de Bem
Poster
Thu May 3rd 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #42
Learning to Count Objects in Natural Images for Visual Question Answering
Yan Zhang · Jonathon Hare · Adam Prugel-Bennett
Break
Thu May 3rd 01:00 -- 02:30 PM @ On Your Own
Lunch