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Invited Talk
Tue May 01 09:00 AM -- 09:45 AM (PDT) @ Exhibition Hall A
Augmenting Clinical Intellgence with Machine Intelligence
In Tue AM Talks
Suchi Saria
Oral
Tue May 01 09:45 AM -- 10:00 AM (PDT) @ Exhibition Hall A
Learning to Represent Programs with Graphs
In Tue AM Talks
Miltiadis Allamanis · Marc Brockschmidt · Mahmoud Khademi
[ PDF] 
Oral
Tue May 01 10:00 AM -- 10:15 AM (PDT) @ Exhibition Hall A
Neural Sketch Learning for Conditional Program Generation
In Tue AM Talks
Vijayaraghavan Murali · Letao Qi · Swarat Chaudhuri · Chris Jermaine
[ PDF] 
Oral
Tue May 01 10:15 AM -- 10:30 AM (PDT) @ Exhibition Hall A
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
In Tue AM Talks
Xingjun Ma · Bo Li · Yisen Wang · Sarah Erfani · Sudanthi Wijewickrema · Grant Schoenebeck · Dawn Song · Michael E Houle · James Bailey
[ PDF] 
Oral
Tue May 01 10:30 AM -- 10:45 AM (PDT) @ Exhibition Hall A
Certifying Some Distributional Robustness with Principled Adversarial Training
In Tue AM Talks
Aman Sinha · Hong Namkoong · John Duchi
[ PDF] 
Break
Tue May 01 10:45 AM -- 11:00 AM (PDT) @ Ballroom ABC
Coffee Break
In Tue AM Talks
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization
In Tue AM Posters
Adam Earle · Andrew Saxe · Benjamin Rosman
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
A Simple Neural Attentive Meta-Learner
In Tue AM Posters
Nikhil Mishra · Mostafa Rohaninejad · Xi Chen · Pieter Abbeel
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Dynamic Neural Program Embeddings for Program Repair
In Tue AM Posters
Ke Wang · Rishabh Singh · Zhendong Su
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Stochastic Activation Pruning for Robust Adversarial Defense
In Tue AM Posters
Guneet Dhillon · Kamyar Azizzadenesheli · Zachary Lipton · Jeremy Bernstein · Jean Kossaifi · Aran Khanna · anima anandkumar
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Do GANs learn the distribution? Some Theory and Empirics
In Tue AM Posters
Sanjeev Arora · Andrej Risteski · Yi Zhang
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Learning Parametric Closed-Loop Policies for Markov Potential Games
In Tue AM Posters
Sergio Valcarcel Macua · Javier Zazo · Santiago Zazo
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Learning Approximate Inference Networks for Structured Prediction
In Tue AM Posters
Lifu Tu · Kevin Gimpel
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Fidelity-Weighted Learning
In Tue AM Posters
Mostafa Dehghani · Arash Mehrjou · Stephan Gouws · Jaap Kamps · Bernhard Schoelkopf
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
HexaConv
In Tue AM Posters
Emiel Hoogeboom · Jorn Peters · Taco Cohen · Max Welling
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
On the Convergence of Adam and Beyond
In Tue AM Posters
Sashank Reddi · Satyen Kale · Sanjiv Kumar
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Generalizing Across Domains via Cross-Gradient Training
In Tue AM Posters
Shiv Shankar · Vihari Piratla · Soumen Chakrabarti · Siddhartha Chaudhuri · Preethi Jyothi · Sunita Sarawagi
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Understanding image motion with group representations
In Tue AM Posters
Andrew Jaegle · Stephen Phillips · Daphne Ippolito · Kostas Daniilidis
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
Matrix capsules with EM routing
In Tue AM Posters
Geoffrey E Hinton · Sara Sabour · Nicholas Frosst
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Global Optimality Conditions for Deep Neural Networks
In Tue AM Posters
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
In Tue AM Posters
Behnam Neyshabur · Srinadh Bhojanapalli · Nathan Srebro
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
In Tue AM Posters
Tsui-Wei Weng · Huan Zhang · Pin-Yu Chen · Jinfeng Yi · Dong Su · Yupeng Gao · Cho-Jui Hsieh · Luca Daniel
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Sobolev GAN
In Tue AM Posters
Youssef Mroueh · Chun-Liang Li · Tom Sercu · Anant Raj · Yu Cheng
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Divide-and-Conquer Reinforcement Learning
In Tue AM Posters
Dibya Ghosh · Avi Singh · Aravind Rajeswaran · Vikash Kumar · Sergey Levine
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
i-RevNet: Deep Invertible Networks
In Tue AM Posters
Joern-Henrik Jacobsen · Arnold W Smeulders · Edouard Oyallon
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
Multi-View Data Generation Without View Supervision
In Tue AM Posters
Mickael Chen · Ludovic Denoyer · thierry artieres
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Action-dependent Control Variates for Policy Optimization via Stein Identity
In Tue AM Posters
Hao Liu · Yihao Feng · Yi Mao · Dengyong Zhou · Jian Peng · Qiang Liu
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
In Tue AM Posters
Christian Buck · Jannis Bulian · Massimiliano Ciaramita · Wojciech Gajewski · Andrea Gesmundo · Neil Houlsby · Wei Wang.
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
In Tue AM Posters
Vitchyr Pong · Shixiang Gu · Murtaza Dalal · Sergey Levine
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Model-Ensemble Trust-Region Policy Optimization
In Tue AM Posters
Thanard Kurutach · Ignasi Clavera · Yan Duan · Aviv Tamar · Pieter Abbeel
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Generating Wikipedia by Summarizing Long Sequences
In Tue AM Posters
Peter J Liu · Mohammad Saleh · Etienne Pot · Ben Goodrich · Ryan Sepassi · Lukasz Kaiser · Noam Shazeer
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Neural Language Modeling by Jointly Learning Syntax and Lexicon
In Tue AM Posters
Yikang Shen · Zhouhan Lin · Chin-Wei Huang · Aaron Courville
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
In Tue AM Posters
Bo Zong · Qi Song · Martin Min · Wei Cheng · Cristian Lumezanu · Daeki Cho · Haifeng Chen
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
An efficient framework for learning sentence representations
In Tue AM Posters
Lajanugen Logeswaran · Honglak Lee
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Latent Space Oddity: on the Curvature of Deep Generative Models
In Tue AM Posters
Georgios Arvanitidis · Lars Kai Hansen · Søren Hauberg
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
In Tue AM Posters
Anubhav Ashok · Nicholas Rhinehart · Fares Beainy · Kris M Kitani
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Variational Message Passing with Structured Inference Networks
In Tue AM Posters
Wu Lin · Nicolas Daniel Hubacher · Mohammad Emtiyaz Khan
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
In Tue AM Posters
Angeliki Lazaridou · Karl M Hermann · Karl Tuyls · Stephen Clark
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
SCAN: Learning Hierarchical Compositional Visual Concepts
In Tue AM Posters
Irina Higgins · Nicolas Sonnerat · Loic Matthey · Arka Pal · Christopher Burgess · Matko Bošnjak · Murray Shanahan · Matthew Botvinick · · Alexander Lerchner
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
In Tue AM Posters
Tomer Galanti · Lior Wolf · Sagie Benaim
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
In Tue AM Posters
Aleksander Wieczorek · Mario Wieser · Damian Murezzan · Volker Roth
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Learning From Noisy Singly-labeled Data
In Tue AM Posters
Ashish Khetan · Zachary Lipton · anima anandkumar
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Gaussian Process Behaviour in Wide Deep Neural Networks
In Tue AM Posters
Alexander Matthews · Jiri Hron · Mark Rowland · Richard E Turner · Zoubin Ghahramani
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties
In Tue AM Posters
Yi Zhou · Yingbin Liang
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
In Tue AM Posters
Asit Mishra · Debbie Marr
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Wavelet Pooling for Convolutional Neural Networks
In Tue AM Posters
Travis Williams · Robert Li
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
In Tue AM Posters
Xingjun Ma · Bo Li · Yisen Wang · Sarah Erfani · Sudanthi Wijewickrema · Grant Schoenebeck · Dawn Song · Michael E Houle · James Bailey
[ PDF] 
Poster
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
Learning Intrinsic Sparse Structures within Long Short-Term Memory
In Tue AM Posters
Wei Wen · Yuxiong He · Samyam Rajbhandari · Minjia Zhang · Wenhan Wang · Fang Liu · Bin Hu · Yiran Chen · Hai Li
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #1
Investigating Human Priors for Playing Video Games
In Tue AM Workshops
Rachit Dubey · Pulkit Agrawal · Deepak Pathak · Alexei Efros · Thomas L Griffiths
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #2
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
In Tue AM Workshops
César Laurent · Thomas George · Xavier Bouthillier · Nicolas Ballas · Pascal Vincent
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #3
ChatPainter: Improving Text to Image Generation using Dialogue
In Tue AM Workshops
Shikhar Sharma · Dendi Suhubdy · Vincent Michalski · Samira Ebrahimi Kahou · Yoshua Bengio
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #4
Meta-Learning for Batch Mode Active Learning
In Tue AM Workshops
Sachin Ravi · Hugo Larochelle
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #5
Learning and Memorization
In Tue AM Workshops
Satrajit Chatterjee
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #6
Spatially Parallel Convolutions
In Tue AM Workshops
Peter Jin · Boris Ginsburg · Kurt Keutzer
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #7
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping
In Tue AM Workshops
Keyi Yu · Yang Liu · Alex Schwing · Jian Peng
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #8
Analysis of Cosmic Microwave Background with Deep Learning
In Tue AM Workshops
Siyu He · Siamak Ravanbakhsh · Shirley Ho
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #9
Monotonic models for real-time dynamic malware detection
In Tue AM Workshops
Alexander Chistyakov · · Aleksandr Shevelev ·
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #10
Nonlinear Acceleration of CNNs
In Tue AM Workshops
Damien Scieur · Edouard Oyallon · Alexandre d'Aspremont · Francis Bach
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #11
Decoupling Dynamics and Reward for Transfer Learning
In Tue AM Workshops
Harsh Satija · Amy Zhang · Joelle Pineau
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #12
Uncertainty Estimation via Stochastic Batch Normalization
In Tue AM Workshops
Andrei Atanov · Arsenii Ashukha · Dmitry Molchanov · Kirill Neklyudov · Dmitry P. Vetrov
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #13
Learning Efficient Tensor Representations with Ring Structure Networks
In Tue AM Workshops
Qibin Zhao · Masashi Sugiyama · Longhao Yuan · Andrzej Cichocki
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #14
To Prune, or Not to Prune: Exploring the Efficacy of Pruning for Model Compression
In Tue AM Workshops
Michael Zhu · Suyog Gupta
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #15
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples
In Tue AM Workshops
Pei-Hsuan Lu · Pin-Yu Chen · Chia-Mu Yu
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #16
Hockey-Stick GAN
In Tue AM Workshops
Edgar Minasyan · Vinay Prabhu
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #17
Fast Node Embeddings: Learning Ego-Centric Representations
In Tue AM Workshops
Tiago Pimentel · Adriano Veloso · Nivio Ziviani
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #18
Synthesizing Audio with GANs
In Tue AM Workshops
Chris Donahue · Julian McAuley · Miller Puckette
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #19
Multi-Agent Generative Adversarial Imitation Learning
In Tue AM Workshops
Jiaming Song · Hongyu Ren · Dorsa Sadigh · Stefano Ermon
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #20
LEARNING AND ANALYZING VECTOR ENCODING OF SYMBOLIC REPRESENTATION
In Tue AM Workshops
· · Paul Smolensky · Rishabh Singh
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #21
SGD on Random Mixtures: Private Machine Learning under Data Breach Threats
In Tue AM Workshops
Kangwook Lee · Kyungmin Lee · Hoon Kim · Changho Suh · Kannan Ramchandran
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #22
Neuron as an Agent
In Tue AM Workshops
Shohei Ohsawa · Kei Akuzawa · Tatsuya Matsushima · Gustavo Bezerra · Yusuke Iwasawa · Hiroshi Kajino · · Yutaka Matsuo
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #23
Weightless: Lossy weight encoding for deep neural network compression
In Tue AM Workshops
Brandon Reagen · Udit Gupta · Robert Adolf · Michael Mitzenmacher · Alexander Rush · Alexander Rush · Gu-Yeon Wei
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #24
A Dataset To Evaluate The Representations Learned By Video Prediction Models
In Tue AM Workshops
Ryan Szeto · Simon Stent · German Ros · Jason J Corso
[ PDF] 
Workshop
Tue May 01 11:00 AM -- 01:00 PM (PDT) @ East Meeting Level 8 + 15 #25
Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
In Tue AM Workshops
Levent Sagun · Utku Evci · Veli Ugur Guney · Yann Dauphin · Leon Bottou
[ PDF] 
Break
Tue May 01 01:00 PM -- 02:30 PM (PDT) @ On Your Own
Lunch
In Tue AM Posters
Invited Talk
Tue May 01 02:30 PM -- 03:15 PM (PDT) @ Exhibition Hall A
Visual Learning With Unlabeled Video and Look-Around Policies
In Tue PM Talks
Kristen Grauman
Oral
Tue May 01 03:15 PM -- 03:30 PM (PDT) @ Exhibition Hall A
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
In Tue PM Talks
Nadav Cohen · Ronen Tamari · Amnon Shashua
[ PDF] 
Oral
Tue May 01 03:30 PM -- 03:45 PM (PDT) @ Exhibition Hall A
Spherical CNNs
In Tue PM Talks
Taco Cohen · Mario Geiger · Jonas Koehler · Max Welling
[ PDF] 
Oral
Tue May 01 03:45 PM -- 04:00 PM (PDT) @ Exhibition Hall A
Zero-Shot Visual Imitation
In Tue PM Talks
Deepak Pathak · Parsa Mahmoudieh · Guanghao Luo · Pulkit Agrawal · Dian Chen · Fred Shentu · Evan Shelhamer · Jitendra Malik · Alexei Efros · Trevor Darrell
[ PDF] 
Oral
Tue May 01 04:00 PM -- 04:15 PM (PDT) @ Exhibition Hall A
Multi-Scale Dense Networks for Resource Efficient Image Classification
In Tue PM Talks
Gao Huang · Danlu Chen · Tianhong Li · Felix Wu · Laurens van der Maaten · Kilian Weinberger
[ PDF] 
Break
Tue May 01 04:15 PM -- 04:30 PM (PDT) @ Ballroom ABC
Coffee Break
In Tue PM Talks
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
FearNet: Brain-Inspired Model for Incremental Learning
In Tue PM Posters
Ronald Kemker · Christopher Kanan
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
In Tue PM Posters
Abhishek Kumar · Prasanna Sattigeri · Avinash Balakrishnan
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Meta-Learning for Semi-Supervised Few-Shot Classification
In Tue PM Posters
Mengye Ren · Eleni Triantafillou · Sachin Ravi · Jake Snell · Kevin Swersky · Joshua B Tenenbaum · Hugo Larochelle · Richard Zemel
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Neural Sketch Learning for Conditional Program Generation
In Tue PM Posters
Vijayaraghavan Murali · Letao Qi · Swarat Chaudhuri · Chris Jermaine
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
Deep Neural Networks as Gaussian Processes
In Tue PM Posters
Jaehoon Lee · Yasaman Bahri · Roman Novak · Samuel Schoenholz · Jeffrey Pennington · Jascha Sohl-Dickstein
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks
In Tue PM Posters
Krzysztof Choromanski · Carlton Downey · Byron Boots
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Expressive power of recurrent neural networks
In Tue PM Posters
Valentin Khrulkov · Alexander Novikov · Ivan Oseledets
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
In Tue PM Posters
Pouya Samangouei · Maya Kabkab · Rama Chellappa
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
In Tue PM Posters
Cathy Wu · Aravind Rajeswaran · Yan Duan · Vikash Kumar · Alexandre M Bayen · Sham M Kakade · Igor Mordatch · Pieter Abbeel
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Certified Defenses against Adversarial Examples
In Tue PM Posters
Aditi Raghunathan · Jacob Steinhardt · Percy Liang
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Semantic Interpolation in Implicit Models
In Tue PM Posters
Yannic Kilcher · Aurelien Lucchi · Thomas Hofmann
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
In Tue PM Posters
Benjamin Eysenbach · Shixiang Gu · Julian Ibarz · Sergey Levine
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Learning One-hidden-layer Neural Networks with Landscape Design
In Tue PM Posters
Rong Ge · Jason Lee · Tengyu Ma
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
In Tue PM Posters
Jacob Buckman · Aurko Roy · Colin Raffel · Ian Goodfellow
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Training GANs with Optimism
In Tue PM Posters
Constantinos C Daskalakis · Andrew Ilyas · Vasilis Syrgkanis · Haoyang Zeng
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
In Tue PM Posters
Tianmin Shu · Caiming Xiong · richard socher
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
In Tue PM Posters
Audrunas Gruslys · Will Dabney · Mohammad Gheshlaghi Azar · Bilal Piot · Marc G Bellemare · Remi Munos
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Distributed Prioritized Experience Replay
In Tue PM Posters
Daniel Horgan · John Quan · David Budden · Gabriel Barth-maron · Matteo Hessel · Hado van Hasselt · David Silver
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Adversarial Dropout Regularization
In Tue PM Posters
Kuniaki Saito · Yoshitaka Ushiku · Tatsuya Harada · Kate Saenko
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
Countering Adversarial Images using Input Transformations
In Tue PM Posters
Chuan Guo · Mayank Rana · Moustapha Cisse · Laurens van der Maaten
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Generating Natural Adversarial Examples
In Tue PM Posters
Zhengli Zhao · Dheeru Dua · Sameer Singh
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Spherical CNNs
In Tue PM Posters
Taco Cohen · Mario Geiger · Jonas Koehler · Max Welling
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
In Tue PM Posters
Sainbayar Sukhbaatar · Zeming Lin · Ilya Kostrikov · Gabriel Synnaeve · Arthur Szlam · Rob Fergus
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
In Tue PM Posters
William Murdoch · Peter J Liu · Bin Yu
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Unsupervised Neural Machine Translation
In Tue PM Posters
Mikel Artetxe · Gorka Labaka · Eneko Agirre · Kyunghyun Cho
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Smooth Loss Functions for Deep Top-k Classification
In Tue PM Posters
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Synthetic and Natural Noise Both Break Neural Machine Translation
In Tue PM Posters
Yonatan Belinkov · Yonatan Bisk
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Can Neural Networks Understand Logical Entailment?
In Tue PM Posters
Richard Evans · David Saxton · David Amos · Pushmeet Kohli · Edward Grefenstette
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
In Tue PM Posters
Zhilin Yang · Saizheng Zhang · Jack Urbanek · Will Feng · Alexander Miller · Arthur Szlam · Douwe Kiela · Jason Weston
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
In Tue PM Posters
William Fedus · Mihaela Rosca · Balaji Lakshminarayanan · Andrew Dai · Shakir Mohamed · Ian Goodfellow
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Learning Latent Permutations with Gumbel-Sinkhorn Networks
In Tue PM Posters
gonzalo mena · David Belanger · Scott Linderman · Jasper Snoek
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Can recurrent neural networks warp time?
In Tue PM Posters
Corentin Tallec · Yann Ollivier
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Learning Differentially Private Recurrent Language Models
In Tue PM Posters
H. Brendan McMahan · Daniel Ramage · Kunal Talwar · Li Zhang
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
In Tue PM Posters
Aleksandar Bojchevski · Stephan Günnemann
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
SEARNN: Training RNNs with global-local losses
In Tue PM Posters
Rémi Leblond · Jean-Baptiste Alayrac · Anton Osokin · Simon Lacoste-Julien
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Learning to Teach
In Tue PM Posters
Yang Fan · Fei Tian · Tao Qin · Tie-Yan Liu
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Active Learning for Convolutional Neural Networks: A Core-Set Approach
In Tue PM Posters
Ozan Sener · Silvio Savarese
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
In Tue PM Posters
Feiwen Zhu · Jeff Pool · Michael Andersch · Jeremy Appleyard · Fung Xie
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
WRPN: Wide Reduced-Precision Networks
In Tue PM Posters
Asit Mishra · Eriko Nurvitadhi · Jeffrey J Cook · Debbie Marr
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
In Tue PM Posters
Wei Ping · Kainan Peng · Andrew Gibiansky · Sercan Arik · Ajay Kannan · SHARAN NARANG · Jonathan Raiman · John Miller
[ PDF] 
Poster
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
Spectral Normalization for Generative Adversarial Networks
In Tue PM Posters
Takeru Miyato · Toshiki Kataoka · Masanori Koyama · Yuichi Yoshida
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #1
Universal Successor Representations for Transfer Reinforcement Learning
In Tue PM Workshops
Chen Ma · Junfeng Wen · Yoshua Bengio
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #2
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
In Tue PM Workshops
Tsz Kit Lau · Jinshan Zeng · Baoyuan Wu · Yuan Yao
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #3
Jointly Learning "What" and "How" from Instructions and Goal-States
In Tue PM Workshops
Dzmitry Bahdanau · Felix Hill · Jan Leike · Edward Hughes · Pushmeet Kohli · Edward Grefenstette
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #4
Deep learning mutation prediction enables early stage lung cancer detection in liquid biopsy
In Tue PM Workshops
Steven T. Kothen-Hill · Asaf Zviran · Rafael Schulman · Sunil Deochand · Federico Gaiti · Dillon Maloney · Kevin Huang · Willey Liao · Nicolas Robine · Nathaniel Omans · Dan Landau
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #5
Evaluating visual "common sense" using fine-grained classification and captioning tasks
In Tue PM Workshops
Raghav Goyal · Farzaneh Mahdisoltani · Guillaume Berger · Waseem Gharbieh · Ingo Bax · Roland Memisevic
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #6
Deep Neural Maps
In Tue PM Workshops
Mehran Pesteie · Purang Abolmaesumi · Robert Rohling
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #7
Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks
In Tue PM Workshops
Daniel Fojo · Víctor Campos · Xavier Giro-i-Nieto
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #8
Compression by the signs: distributed learning is a two-way street
In Tue PM Workshops
Jeremy Bernstein · Yu-Xiang Wang · Kamyar Azizzadenesheli · anima anandkumar
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #9
Rethinking Style and Content Disentanglement in Variational Autoencoders
In Tue PM Workshops
Rui Shu · Shengjia Zhao · Mykel J Kochenderfer
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #10
Clustering Meets Implicit Generative Models
In Tue PM Workshops
Francesco Locatello · Damien Vincent · Ilya Tolstikhin · Gunnar Rätsch · Sylvain Gelly · Bernhard Schoelkopf
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #11
Minimally Redundant Laplacian Eigenmaps
In Tue PM Workshops
David Pfau · Christopher Burgess
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #12
Neural Program Search: Solving Programming Tasks from Description and Examples
In Tue PM Workshops
Illia Polosukhin ·
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #13
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search
In Tue PM Workshops
Yelong Shen · Jianshu Chen · Po-Sen Huang · Yuqing Guo · Jianfeng Gao
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #14
Adversarial Spheres
In Tue PM Workshops
Justin Gilmer · Luke Metz · Fartash Faghri · Samuel Schoenholz · · Martin Wattenberg · Ian Goodfellow
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #15
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples
In Tue PM Workshops
Yash Sharma · Pin-Yu Chen
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #16
Stable Distribution Alignment Using the Dual of the Adversarial Distance
In Tue PM Workshops
Ben Usman · Kate Saenko · Brian Kulis
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #17
A Flexible Approach to Automated RNN Architecture Generation
In Tue PM Workshops
Martin Schrimpf · Stephen Merity · James Bradbury · richard socher
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #18
Variance-based Gradient Compression for Efficient Distributed Deep Learning
In Tue PM Workshops
Yusuke Tsuzuku · Hiroto Imachi · Takuya Akiba
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #19
A differentiable BLEU loss. Analysis and first results
In Tue PM Workshops
noe casas · Marta R. Costa-jussà · Jose A.R Fonollosa
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #20
Kronecker Recurrent Units
In Tue PM Workshops
Cijo Jose · Moustapha Cisse · Francois Fleuret
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #21
Expert-based reward function training: the novel method to train sequence generators
In Tue PM Workshops
Joji Toyama · Yusuke Iwasawa · Kotaro Nakayama · Yutaka Matsuo
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #22
The loss surface and expressivity of deep convolutional neural networks
In Tue PM Workshops
Quynh Nguyen · Matthias Hein
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #23
Semi-Supervised Few-Shot Learning with MAML
In Tue PM Workshops
Rinu Boney · Alexander Ilin
[ PDF] 
Workshop
Tue May 01 04:30 PM -- 06:30 PM (PDT) @ East Meeting Level 8 + 15 #24
Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks
In Tue PM Workshops
Yuechao Gao · Nianhong Liu · Zhang Sheng
[ PDF]