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Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Deep Complex Networks
In Mon AM Posters
Chiheb Trabelsi · Olexa Bilaniuk · Ying Zhang · Dmitriy Serdyuk · Sandeep Subramanian · Joao Felipe Santos · Soroush Mehri · Negar Rostamzadeh · Yoshua Bengio · Christopher Pal
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
Universal Agent for Disentangling Environments and Tasks
In Mon AM Posters
Jiayuan Mao · Honghua Dong · Joseph J Lim
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
In Mon AM Posters
Xiang Wei · Boqing Gong · Zixia Liu · Wei Lu · Liqiang Wang
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Fraternal Dropout
In Mon AM Posters
Konrad Zolna · Devansh Arpit · Dendi Suhubdy · Yoshua Bengio
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Learning an Embedding Space for Transferable Robot Skills
In Mon AM Posters
Karol Hausman · Jost Tobias Springenberg · ziyu wang · Nicolas Heess · Martin Riedmiller
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Hierarchical Density Order Embeddings
In Mon AM Posters
Ben Athiwaratkun · Andrew Wilson
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Model compression via distillation and quantization
In Mon AM Posters
Antonio Polino · Razvan Pascanu · Dan Alistarh
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Maximum a Posteriori Policy Optimisation
In Mon AM Posters
abbas abdolmaleki · Jost Tobias Springenberg · Nicolas Heess · Yuval Tassa · Remi Munos
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
MaskGAN: Better Text Generation via Filling in the _______
In Mon AM Posters
William Fedus · Ian Goodfellow · Andrew Dai
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
In Mon AM Posters
James Martens · Jimmy Ba · Matthew Johnson
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Scalable Private Learning with PATE
In Mon AM Posters
Nicolas Papernot · Shuang Song · Ilya Mironov · Ananth Raghunathan · Kunal Talwar · Ulfar Erlingsson
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Online Learning Rate Adaptation with Hypergradient Descent
In Mon AM Posters
Atilim Gunes Baydin · Robert Cornish · David Martínez · Mark Schmidt · Frank Wood
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
In Mon AM Posters
Sjoerd van Steenkiste · Michael Chang · Klaus Greff · Jürgen Schmidhuber
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Learning Awareness Models
In Mon AM Posters
Brandon Amos · Laurent Dinh · Serkan Cabi · Thomas Rothörl · Sergio Gómez Colmenarejo · Alistair Muldal · Tom Erez · Yuval Tassa · Nando de Freitas · Misha Denil
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
On the regularization of Wasserstein GANs
In Mon AM Posters
Henning Petzka · Asja Fischer · Denis Lukovnikov
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Spatially Transformed Adversarial Examples
In Mon AM Posters
chaowei Xiao · Jun-Yan Zhu · Bo Li · Warren He · Mingyan Liu · Dawn Song
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
In Mon AM Posters
Wieland Brendel · Jonas Rauber · Matthias Bethge
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Communication Algorithms via Deep Learning
In Mon AM Posters
Hyeji Kim · Yihan Jiang · Ranvir B Rana · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
Towards Image Understanding from Deep Compression Without Decoding
In Mon AM Posters
Róbert Torfason · Fabian Mentzer · Eirikur Agustsson · Michael Tschannen · Radu Timofte · Luc S.J Van Gool
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
Unsupervised Machine Translation Using Monolingual Corpora Only
In Mon AM Posters
Guillaume Lample · · Ludovic Denoyer · Marc'Aurelio Ranzato
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Boosting the Actor with Dual Critic
In Mon AM Posters
Bo Dai · Albert Shaw · Niao He · Lihong Li · Le Song
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
A DIRT-T Approach to Unsupervised Domain Adaptation
In Mon AM Posters
Rui Shu · Hung H Bui · Hirokazu Narui · Stefano Ermon
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
In Mon AM Posters
Dejiao Zhang · Haozhu Wang · Mario Figueiredo · Laura Balzano
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Parametrized Hierarchical Procedures for Neural Programming
In Mon AM Posters
Roy Fox · Richard Shin · Sanjay Krishnan · Ken Goldberg · Dawn Song · Ion Stoica
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Auto-Encoding Sequential Monte Carlo
In Mon AM Posters
Tuan Anh Le · Maximilian Igl · Tom Rainforth · Tom Jin · Frank Wood
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Syntax-Directed Variational Autoencoder for Structured Data
In Mon AM Posters
Hanjun Dai · Yingtao Tian · Bo Dai · Steven Skiena · Le Song
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Learn to Pay Attention
In Mon AM Posters
Saumya Jetley · Nicholas Lord · Namhoon Lee · Philip Torr
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
The power of deeper networks for expressing natural functions
In Mon AM Posters
David Rolnick · Max Tegmark
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
In Mon AM Posters
Emmanuel d Bezenac · Arthur Pajot · patrick Gallinari
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
In Mon AM Posters
Hao Zhang · Bo Chen · Dandan Guo · Mingyuan Zhou
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Divide and Conquer Networks
In Mon AM Posters
Alex Nowak · David Folqué Garcia · Joan Bruna
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Hierarchical Representations for Efficient Architecture Search
In Mon AM Posters
Hanxiao Liu · Karen Simonyan · Oriol Vinyals · Chrisantha Fernando · Koray Kavukcuoglu
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
On the insufficiency of existing momentum schemes for Stochastic Optimization
In Mon AM Posters
Rahul Kidambi · Praneeth Netrapalli · Prateek Jain · Sham M Kakade
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
In Mon AM Posters
Elliot Meyerson · Risto Miikkulainen
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Towards Deep Learning Models Resistant to Adversarial Attacks
In Mon AM Posters
Aleksander Madry · Aleksandar A Makelov · Ludwig Schmidt · Dimitris Tsipras · Adrian Vladu
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
In Mon AM Posters
Zhilin Yang · Zihang Dai · Ruslan Salakhutdinov · William W Cohen
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Neural Speed Reading via Skim-RNN
In Mon AM Posters
Minjoon Seo · Sewon Min · Ali Farhadi · Hannaneh Hajishirzi
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
In Mon AM Posters
Gregory Farquhar · Tim Rocktaeschel · Maximilian Igl · Shimon Whiteson
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Gradient Estimators for Implicit Models
In Mon AM Posters
Yingzhen Li · Richard E Turner
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
In Mon AM Posters
Jianbo Ye · Xin Lu · Zhe Lin · James Z Wang
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
When is a Convolutional Filter Easy to Learn?
In Mon AM Posters
Simon Du · Jason D Lee · Yuandong Tian
[ PDF] 
Poster
Mon Apr 30 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
MGAN: Training Generative Adversarial Nets with Multiple Generators
In Mon AM Posters
Quan Hoang · Tu D Nguyen · Trung Le · Dinh Phung
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
In Mon PM Posters
Yanshuai Cao · Gavin Weiguang Ding · Yik Chau Lui · Ruitong Huang
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Distributed Distributional Deterministic Policy Gradients
In Mon PM Posters
Gabriel Barth-maron · Matthew Hoffman · David Budden · Will Dabney · Daniel Horgan · Dhruva Tirumala · Alistair Muldal · Nicolas Heess · Timothy Lillicrap
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
In Mon PM Posters
Evan Liu · Kelvin Guu · Panupong Pasupat · Tim Shi · Percy Liang
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Learning a Generative Model for Validity in Complex Discrete Structures
In Mon PM Posters
David Janz · Jos van der Westhuizen · Brooks Paige · Matt J Kusner · José Miguel Hernández Lobato
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING
In Mon PM Posters
Wen Sun · J. A Bagnell · Byron Boots
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
In Mon PM Posters
Yeming Wen · Paul Vicol · Jimmy Ba · Dustin Tran · Roger Grosse
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Lifelong Learning with Dynamically Expandable Networks
In Mon PM Posters
Jaehong Yoon · Eunho Yang · Jeongtae Lee · Sung Ju Hwang
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
In Mon PM Posters
Kangwook Lee · Hoon Kim · Changho Suh
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
Quantitatively Evaluating GANs With Divergences Proposed for Training
In Mon PM Posters
Daniel Im · He Ma · Graham W Taylor · Kristin Branson
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Attacking Binarized Neural Networks
In Mon PM Posters
Angus Galloway · Graham W Taylor · Medhat Moussa
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
In Mon PM Posters
Rajarshi Das · Shehzaad Dhuliawala · Manzil Zaheer · Luke Vilnis · Ishan Durugkar · Akshay Krishnamurthy · Alex Smola · Andrew McCallum
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Zero-Shot Visual Imitation
In Mon PM Posters
Deepak Pathak · Parsa Mahmoudieh · Guanghao Luo · Pulkit Agrawal · Dian Chen · Fred Shentu · Evan Shelhamer · Jitendra Malik · Alexei Efros · Trevor Darrell
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
In Mon PM Posters
Dipankar Das · Naveen Mellempudi · Dheevatsa Mudigere · Dhiraj Kalamkar · Sasikanth Avancha · Kunal Banerjee · Srinivas Sridharan · Karthik Vaidyanathan · Bharat Kaul · Evangelos Georganas · Alexander Heinecke · Pradeep K Dubey · Jesus Corbal · Nikita Shustrov · Roma Dubtsov · Evarist Fomenko · Vadim Pirogov
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Imitation Learning from Visual Data with Multiple Intentions
In Mon PM Posters
Aviv Tamar · Khashayar Rohanimanesh · Yinlam Chow · Chris Vigorito · Ben Goodrich · Michael Kahane · Derik Pridmore
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
Demystifying MMD GANs
In Mon PM Posters
Mikolaj Binkowski · [deadname] Sutherland · Michael Arbel · Arthur Gretton
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
A Framework for the Quantitative Evaluation of Disentangled Representations
In Mon PM Posters
Cian Eastwood · Chris Williams
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Decision Boundary Analysis of Adversarial Examples
In Mon PM Posters
Warren He · Bo Li · Dawn Song
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning
In Mon PM Posters
Clemens Rosenbaum · Tim Klinger · Matt Riemer
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Compositional Attention Networks for Machine Reasoning
In Mon PM Posters
Drew A. Hudson · Christopher Manning
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
Memory-based Parameter Adaptation
In Mon PM Posters
Pablo Sprechmann · Siddhant Jayakumar · Jack Rae · Alexander Pritzel · Adria Puigdomenech Badia · Benigno Uria · Oriol Vinyals · Demis Hassabis · Razvan Pascanu · Charles Blundell
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Semi-parametric topological memory for navigation
In Mon PM Posters
Nikolay Savinov · Alexey Dosovitskiy · Vladlen Koltun
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
In Mon PM Posters
Jesse Engel · Matthew D Hoffman · Adam Roberts
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
On the Information Bottleneck Theory of Deep Learning
In Mon PM Posters
Andrew Saxe · Yamini Bansal · Joel Dapello · Madhu Advani · Artemy Kolchinsky · Brendan D Tracey · David D Cox
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
Sensitivity and Generalization in Neural Networks: an Empirical Study
In Mon PM Posters
Roman Novak · Yasaman Bahri · Daniel Abolafia · Jeffrey Pennington · Jascha Sohl-Dickstein
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
In Mon PM Posters
Yujun Lin · song han · · Yu Wang · Bill Dally
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Skip Connections Eliminate Singularities
In Mon PM Posters
Emin Orhan · Xaq Pitkow
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
In Mon PM Posters
Yaguang Li · Rose Yu · Cyrus Shahabi · Yan Liu
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Simulating Action Dynamics with Neural Process Networks
In Mon PM Posters
Antoine Bosselut · Omer Levy · Ariel Holtzman · Corin Ennis · Dieter Fox · Yejin Choi
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Twin Networks: Matching the Future for Sequence Generation
In Mon PM Posters
Dmitriy Serdyuk · Nan Rosemary Ke · Alessandro Sordoni · Adam Trischler · Christopher Pal · Yoshua Bengio
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
In Mon PM Posters
Abram Friesen · Pedro Domingos
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Fast and Accurate Reading Comprehension by Combining Self-Attention and Convolution
In Mon PM Posters
Wei Yu · David Dohan · Thang Luong · Rui Zhao · Kai Chen · Mohammad Norouzi · Quoc V Le
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Multi-Mention Learning for Reading Comprehension with Neural Cascades
In Mon PM Posters
Swabha Swayamdipta · Ankur Parikh · Tom Kwiatkowski
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
In Mon PM Posters
Sanjeev Arora · Mikhail Khodak · Nikunj Umesh Saunshi · Kiran Vodrahalli
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
In Mon PM Posters
Sandeep Subramanian · Adam Trischler · Yoshua Bengio · Christopher Pal
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
In Mon PM Posters
Shuohang Wang · Mo Yu · Jing Jiang · Wei Zhang · Xiaoxiao Guo · Shiyu Chang · Zhiguo Wang · Tim Klinger · Gerald Tesauro · Murray Campbell
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
The Kanerva Machine: A Generative Distributed Memory
In Mon PM Posters
Yan Wu · Greg Wayne · Alex Graves · Timothy Lillicrap
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
In Mon PM Posters
William A Falcon · Henning Schulzrinne
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Deep Active Learning for Named Entity Recognition
In Mon PM Posters
Yanyao Shen · Hyokun Yun · Zachary Lipton · Yakov Kronrod · anima anandkumar
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Variational Network Quantization
In Mon PM Posters
Jan Achterhold · Jan Koehler · Anke Schmeink · Tim Genewein
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
In Mon PM Posters
Ashwin Vijayakumar · Abhishek Mohta · Alex Polozov · Dhruv Batra · Prateek Jain · Sumit Gulwani
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Cascade Adversarial Machine Learning Regularized with a Unified Embedding
In Mon PM Posters
Taesik Na · Jong Hwan Ko · Saibal Mukhopadhyay
[ PDF] 
Poster
Mon Apr 30 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
Training and Inference with Integers in Deep Neural Networks
In Mon PM Posters
Shuang Wu · Guoqi Li · Feng Chen · Luping Shi
[ PDF] 
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] 
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] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs
In Wed AM Posters
Forough Arabshahi · Sameer Singh · anima anandkumar
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference
In Wed AM Posters
Sebastian Nowozin
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Measuring the Intrinsic Dimension of Objective Landscapes
In Wed AM Posters
Chunyuan Li · Heerad Farkhoor · Ruoqian Liu · Jason Yosinski
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
A Hierarchical Model for Device Placement
In Wed AM Posters
Azalia Mirhoseini · Anna Goldie · Hieu Pham · Benoit Steiner · Quoc V Le · Jeff Dean
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
In Wed AM Posters
Manuel Molano-Mazon · Arno Onken · Eugenio Piasini · Stefano Panzeri
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
In Wed AM Posters
Jie Chen · Tengfei Ma · Cao Xiao
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Certifying Some Distributional Robustness with Principled Adversarial Training
In Wed AM Posters
Aman Sinha · Hong Namkoong · John Duchi
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
Learning Robust Rewards with Adverserial Inverse Reinforcement Learning
In Wed AM Posters
Justin Fu · Katie Luo · Sergey Levine
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
META LEARNING SHARED HIERARCHIES
In Wed AM Posters
Kevin Frans · Jonathan Ho · · Pieter Abbeel · John Schulman
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
Boundary Seeking GANs
In Wed AM Posters
R Devon Hjelm · Athul Jacob · Adam Trischler · Tong Che · Kyunghyun Cho · Yoshua Bengio
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
In Wed AM Posters
Jinsung Yoon · James Jordan · Mihaela v Schaar
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Ensemble Adversarial Training: Attacks and Defenses
In Wed AM Posters
Florian Tramer · Alexey Kurakin · Nicolas Papernot · Ian Goodfellow · Dan Boneh · Patrick McDaniel
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
In Wed AM Posters
Murat Kocaoglu · Christopher Snyder · Alexandros Dimakis · Sriram Vishwanath
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
Policy Optimization by Genetic Distillation
In Wed AM Posters
Tanmay Gangwani · Jian Peng
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
Stochastic Variational Video Prediction
In Wed AM Posters
Mohammad Babaeizadeh · Chelsea Finn · Dumitru Erhan · Roy H Campbell · Sergey Levine
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
In Wed AM Posters
Yang Song · Taesup Kim · Sebastian Nowozin · Stefano Ermon · Nate Kushman
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Modular Continual Learning in a Unified Visual Environment
In Wed AM Posters
Kevin Feigelis · Blue Sheffer · Daniel L Yamins
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
In Wed AM Posters
Ofir Nachum · Mohammad Norouzi · Kelvin Xu · Dale Schuurmans
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
In Wed AM Posters
Maruan Al-Shedivat · Trapit Bansal · Yuri Burda · Ilya Sutskever · Igor Mordatch · Pieter Abbeel
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
mixup: Beyond Empirical Risk Minimization
In Wed AM Posters
Hongyi Zhang · Moustapha Cisse · Yann N Dauphin · David Lopez-Paz
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
In Wed AM Posters
Chelsea Finn · Sergey Levine
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
In Wed AM Posters
Scott Reed · Yutian Chen · Thomas Paine · Aaron v den · S. M. Ali Eslami · Danilo Jimenez Rezende · Oriol Vinyals · Nando de Freitas
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
Interpretable Counting for Visual Question Answering
In Wed AM Posters
Alexander Trott · Caiming Xiong · richard socher
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
In Wed AM Posters
Da Xiao · Jo-Yu Liao · Xingyuan Yuan
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Variational Continual Learning
In Wed AM Posters
Viet Cuong Nguyen · Yingzhen Li · Thang Bui · Richard E Turner
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Loss-aware Weight Quantization of Deep Networks
In Wed AM Posters
LU HOU · James Kwok
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Memory Architectures in Recurrent Neural Network Language Models
In Wed AM Posters
Dani Yogatama · yishu miao · Gábor Melis · Wang Ling · Adhiguna Kuncoro · Chris Dyer · Phil Blunsom
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
Monotonic Chunkwise Attention
In Wed AM Posters
Chung-Cheng Chiu · Colin Raffel
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
On the State of the Art of Evaluation in Neural Language Models
In Wed AM Posters
Gábor Melis · Chris Dyer · Phil Blunsom
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
Fix your classifier: the marginal value of training the last weight layer
In Wed AM Posters
Elad Hoffer · Itay Hubara · Daniel Soudry
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop
In Wed AM Posters
Yaniv Taigman · Lior Wolf · Adam Polyak · Eliya Nachmani
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Learning Sparse Neural Networks through L_0 Regularization
In Wed AM Posters
Christos Louizos · Max Welling · Diederik Kingma
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
A Scalable Laplace Approximation for Neural Networks
In Wed AM Posters
Hippolyt Ritter · Aleksandar Botev · David Barber
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
In Wed AM Posters
Kimin Lee · Honglak Lee · Kibok Lee · Jinwoo Shin
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Identifying Analogies Across Domains
In Wed AM Posters
Yedid Hoshen · Lior Wolf
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
Unsupervised Representation Learning by Predicting Image Rotations
In Wed AM Posters
Spyros Gidaris · Praveer Singh · Nikos Komodakis
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
On the importance of single directions for generalization
In Wed AM Posters
Ari Morcos · David Barrett · Neil C Rabinowitz · Matthew Botvinick
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
In Wed AM Posters
Tao Shen · Tianyi Zhou · Guodong Long · Jing Jiang · Chengqi Zhang
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Alternating Multi-bit Quantization for Recurrent Neural Networks
In Wed AM Posters
Chen Xu · Jianqiang Yao · Zhouchen Lin · Baigui Sun · Yuanbin Cao · Zhirong Wang · Hongbin Zha
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
In Wed AM Posters
Alon Brutzkus · Amir Globerson · Eran Malach · Shai Shalev-Shwartz
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
In Wed AM Posters
Nadav Cohen · Ronen Tamari · Amnon Shashua
[ PDF] 
Poster
Wed May 02 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
Word translation without parallel data
In Wed AM Posters
Guillaume Lample · · Marc'Aurelio Ranzato · · Hervé Jégou
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #1
Few-Shot Learning with Graph Neural Networks
In Wed PM Posters
Victor Garcia Satorras · Joan Bruna
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #2
Temporally Efficient Deep Learning with Spikes
In Wed PM Posters
Peter OConnor · Efstratios Gavves · Matthias Reisser · Max Welling
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #3
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
In Wed PM Posters
Pratik A Chaudhari · Stefano Soatto
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #4
Understanding Deep Neural Networks with Rectified Linear Units
In Wed PM Posters
Raman Arora · Amitabh Basu · Poorya Mianjy · Anirbit Mukherjee
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #5
On Unifying Deep Generative Models
In Wed PM Posters
Zhiting Hu · · Ruslan Salakhutdinov · Eric P Xing
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #6
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
In Wed PM Posters
Shankar Krishnan · Ying Xiao · Rif A. Saurous
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #7
Wasserstein Auto-Encoders
In Wed PM Posters
Ilya Tolstikhin · Olivier Bousquet · Sylvain Gelly · Bernhard Schoelkopf
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #8
Guide Actor-Critic for Continuous Control
In Wed PM Posters
Voot Tangkaratt · · Masashi Sugiyama
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #9
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
In Wed PM Posters
Artemij Amiranashvili · Alexey Dosovitskiy · Vladlen Koltun · Thomas Brox
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #10
Neural Map: Structured Memory for Deep Reinforcement Learning
In Wed PM Posters
Emilio Parisotto · Ruslan Salakhutdinov
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #11
Eigenoption Discovery through the Deep Successor Representation
In Wed PM Posters
Marlos C. Machado · Clemens Rosenbaum · Xiaoxiao Guo · Miao Liu · Gerald Tesauro · Murray Campbell
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #12
Progressive Growing of GANs for Improved Quality, Stability, and Variation
In Wed PM Posters
Tero Karras · Timo Aila · Samuli Laine · Jaakko Lehtinen
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #13
Learning a neural response metric for retinal prosthesis
In Wed PM Posters
Nishal Shah · Sasidhar Madugula · E.J. Chichilnisky · Yoram Singer · Jonathon Shlens
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #14
Self-ensembling for visual domain adaptation
In Wed PM Posters
Geoff W French · Michal Mackiewicz · Mark Fisher
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #15
PixelNN: Example-based Image Synthesis
In Wed PM Posters
Aayush Bansal · Yaser Sheikh · Deva Ramanan
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #16
Emergent Communication through Negotiation
In Wed PM Posters
Kris Cao · Angeliki Lazaridou · Marc Lanctot · Joel Z Leibo · Karl Tuyls · Stephen Clark
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #17
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
In Wed PM Posters
Katrina Evtimova · Andrew Drozdov · Douwe Kiela · Kyunghyun Cho
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #18
Stabilizing Adversarial Nets with Prediction Methods
In Wed PM Posters
Abhay Kumar Yadav · Sohil Shah · Zheng Xu · David Jacobs · Tom Goldstein
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #19
Learning to Represent Programs with Graphs
In Wed PM Posters
Miltiadis Allamanis · Marc Brockschmidt · Mahmoud Khademi
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #20
cGANs with Projection Discriminator
In Wed PM Posters
Takeru Miyato · Masanori Koyama
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #21
Generative Models of Visually Grounded Imagination
In Wed PM Posters
Shanmukha Ramakrishna Vedantam · Ian Fischer · Jonathan Huang · Kevin P Murphy
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #22
Emergent Translation in Multi-Agent Communication
In Wed PM Posters
Jason Lee · Kyunghyun Cho · Jason Weston · Douwe Kiela
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #23
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
In Wed PM Posters
Pietro Morerio · Jacopo Cavazza · Vittorio Murino
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #24
An image representation based convolutional network for DNA classification
In Wed PM Posters
Bojian Yin · Marleen Balvert · Davide Zambrano · Alexander Schoenhuth · Sander Bohte
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #25
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation
In Wed PM Posters
Xu He · Herbert Jaeger
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #26
Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks
In Wed PM Posters
Jinsung Yoon · William R Zame · Mihaela v Schaar
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #27
Non-Autoregressive Neural Machine Translation
In Wed PM Posters
Jiatao Gu · James Bradbury · Caiming Xiong · Victor OK Li · richard socher
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #28
Compressing Word Embeddings via Deep Compositional Code Learning
In Wed PM Posters
Raphael Shu · Hideki Nakayama
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #29
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
In Wed PM Posters
Christopher Cueva · Xue-Xin Wei
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #30
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
In Wed PM Posters
Hsin-Yuan Huang · Chenguang Zhu · Yelong Shen · Weizhu Chen
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #31
Depthwise Separable Convolutions for Neural Machine Translation
In Wed PM Posters
Lukasz Kaiser · Aidan Gomez · Francois Chollet
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #32
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
In Wed PM Posters
Eric Martin · Christopher Cundy
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #33
Large scale distributed neural network training through online distillation
In Wed PM Posters
Rohan Anil · Gabriel Pereyra · Alexandre Tachard Passos · Robert Ormandi · George Dahl · Geoffrey E Hinton
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #34
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
In Wed PM Posters
Dongsoo Lee · Daehyun Ahn · Taesu Kim · Pierce I Chuang · Jae-Joon Kim
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #35
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering
In Wed PM Posters
Caiming Xiong · richard socher · Victor Zhong
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #36
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
In Wed PM Posters
R. Srikant · Shiyu Liang · Yixuan Li
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #37
Residual Connections Encourage Iterative Inference
In Wed PM Posters
Stanislaw Jastrzebski · Devansh Arpit · Nicolas Ballas · Vikas Verma · Tong Che · Yoshua Bengio
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #38
Towards Synthesizing Complex Programs From Input-Output Examples
In Wed PM Posters
Xinyun Chen · Chang Liu · Dawn Song
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #39
Don't Decay the Learning Rate, Increase the Batch Size
In Wed PM Posters
Samuel Smith · Pieter-Jan Kindermans · Chris Ying · Quoc V Le
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #40
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity
In Wed PM Posters
Tianyi Zhou · Jeff Bilmes
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #41
Multi-Scale Dense Networks for Resource Efficient Image Classification
In Wed PM Posters
Gao Huang · Danlu Chen · Tianhong Li · Felix Wu · Laurens van der Maaten · Kilian Weinberger
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #42
A Deep Reinforced Model for Abstractive Summarization
In Wed PM Posters
Romain Paulus · Caiming Xiong · richard socher
[ PDF] 
Poster
Wed May 02 04:30 PM -- 06:30 PM (PDT) @ East Meeting level; 1,2,3 #43
Unbiased Online Recurrent Optimization
In Wed PM Posters
Corentin Tallec · Yann Ollivier
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #1
Kernel Implicit Variational Inference
In Thu AM Posters
Jiaxin Shi · Shengyang Sun · Jun Zhu
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #2
Generative networks as inverse problems with Scattering transforms
In Thu AM Posters
Tomás Angles · Stéphane Mallat
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #3
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
In Thu AM Posters
Carlos Riquelme · George Tucker · Jasper Snoek
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #4
Large Scale Optimal Transport and Mapping Estimation
In Thu AM Posters
Vivien Seguy · Bharath Bhushan Damodaran · Rémi Flamary · Nicolas Courty · Antoine Rolet · Mathieu Blondel
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #5
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
In Thu AM Posters
Will Grathwohl · Dami Choi · Yuhuai Wu · Geoffrey Roeder · David Duvenaud
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #6
Activation Maximization Generative Adversarial Nets
In Thu AM Posters
Zhiming Zhou · Han Cai · Shu Rong · Yuxuan Song · Kan Ren · Weinan Zhang · Jun Wang · Yong Yu
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #7
Parameter Space Noise for Exploration
In Thu AM Posters
Matthias Plappert · Rein Houthooft · Prafulla Dhariwal · Szymon Sidor · Richard Chen · Xi Chen · Tamim Asfour · Pieter Abbeel · Marcin Andrychowicz
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #8
AmbientGAN: Generative models from lossy measurements
In Thu AM Posters
Ashish Bora · Eric Price · Alexandros Dimakis
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #9
RESIDUAL LOSS PREDICTION: REINFORCEMENT LEARNING WITH NO INCREMENTAL FEEDBACK
In Thu AM Posters
Hal Daumé III · John Langford · Paul Mineiro · Amr Mohamed Nabil Aly Aly Sharaf
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #10
Mitigating Adversarial Effects Through Randomization
In Thu AM Posters
Cihang Xie · Jianyu Wang · Zhishuai Zhang · Zhou Ren · Alan Yuille
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #11
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
In Thu AM Posters
Yuhuai Wu · Mengye Ren · Renjie Liao · Roger Grosse
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #12
Towards Reverse-Engineering Black-Box Neural Networks
In Thu AM Posters
Seong Joon Oh · Max Augustin · Mario Fritz · Bernt Schiele
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #13
The High-Dimensional Geometry of Binary Neural Networks
In Thu AM Posters
Alexander Anderson · Cory P Berg
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #14
On the Discrimination-Generalization Tradeoff in GANs
In Thu AM Posters
Pengchuan Zhang · Qiang Liu · Dengyong Zhou · Tao Xu · Xiaodong He
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #15
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization
In Thu AM Posters
Ozsel Kilinc · Ismail Uysal
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #16
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
In Thu AM Posters
Thomas Unterthiner · Bernhard Nessler · Calvin Seward · Günter Klambauer · Martin Heusel · Hubert Ramsauer · Sepp Hochreiter
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #17
Learning to Multi-Task by Active Sampling
In Thu AM Posters
Sahil Sharma · Ashutosh Kumar Jha · Parikshit Hegde · Balaraman Ravindran
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #18
Learning from Between-class Examples for Deep Sound Recognition
In Thu AM Posters
Yuji Tokozume · Yoshitaka Ushiku · Tatsuya Harada
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #19
Emergent Complexity via Multi-Agent Competition
In Thu AM Posters
Trapit Bansal · Jakub Pachocki · Szymon Sidor · Ilya Sutskever · Igor Mordatch
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #20
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
In Thu AM Posters
Lior Fox · Leshem Choshen · Yonatan Loewenstein
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #21
Polar Transformer Networks
In Thu AM Posters
Carlos Esteves · Christine Allen-Blanchette · Xiaowei Zhou · Kostas Daniilidis
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #22
Compositional Obverter Communication Learning from Raw Visual Input
In Thu AM Posters
Edward Choi · Angeliki Lazaridou · Nando de Freitas
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #23
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
In Thu AM Posters
Yi Zhou · Zimo Li · Shuangjiu Xiao · Chong He · Zeng Huang · Hao Li
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #24
Multi-Task Learning for Document Ranking and Query Suggestion
In Thu AM Posters
Wasi Ahmad · Kai-Wei Chang · Hongning Wang
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #25
Adaptive Quantization of Neural Networks
In Thu AM Posters
Soroosh Khoram · Jing Li
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #26
Interactive Grounded Language Acquisition and Generalization in a 2D World
In Thu AM Posters
Haonan Yu · Haichao Zhang · Wei Xu
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #27
Hyperparameter optimization: a spectral approach
In Thu AM Posters
Elad Hazan · Adam Klivans · Yang Yuan
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #28
Deep Learning with Logged Bandit Feedback
In Thu AM Posters
Thorsten Joachims · Adith Swaminathan · Maarten de Rijke
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #29
Generalizing Hamiltonian Monte Carlo with Neural Networks
In Thu AM Posters
Daniel Levy · Matthew D Hoffman · Jascha Sohl-Dickstein
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #30
Detecting Statistical Interactions from Neural Network Weights
In Thu AM Posters
Michael Tsang · Dehua Cheng · Yan Liu
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #31
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective
In Thu AM Posters
Seyed Mohsen Moosavi Dezfooli · Alhussein Fawzi · Omar Fawzi · Pascal Frossard · Stefano Soatto
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #32
Adaptive Dropout with Rademacher Complexity Regularization
In Thu AM Posters
Ke Zhai · Huan Wang
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #33
Mixed Precision Training
In Thu AM Posters
Paulius Micikevicius · SHARAN NARANG · Jonah Alben · Gregory Diamos · Erich K Elsen · David Garcia · Boris Ginsburg · Michael Houston · Oleksii Kuchaiev · Ganesh Venkatesh · Hao Wu
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #34
SpectralNet: Spectral Clustering using Deep Neural Networks
In Thu AM Posters
Uri Shaham · Kelly Stanton · Henry (Fangyi) Li · Ronen Basri · Boaz Nadler · Yuval Kluger
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #35
Deep Rewiring: Training very sparse deep networks
In Thu AM Posters
Guillaume Bellec · David Kappel · Wolfgang Maass · Robert Legenstein
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #36
A Neural Representation of Sketch Drawings
In Thu AM Posters
David Ha · Douglas Eck
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #37
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
In Thu AM Posters
Rudy Bunel · Matthew Hausknecht · Jacob Devlin · Rishabh Singh · Pushmeet Kohli
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #38
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
In Thu AM Posters
Jiaqi Mu · Pramod Viswanath
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #39
Graph Attention Networks
In Thu AM Posters
Petar Veličković · Guillem Cucurull Preixens · Arantxa Casanova Paga · Adriana Romero · Pietro Liò · Yoshua Bengio
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #40
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
In Thu AM Posters
Marco Ancona · Enea Ceolini · Cengiz Öztireli · Markus Gross
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #41
Critical Percolation as a Framework to Analyze the Training of Deep Networks
In Thu AM Posters
Zohar Ringel · Rodrigo Andrade de Bem
[ PDF] 
Poster
Thu May 03 11:00 AM -- 01:00 PM (PDT) @ East Meeting level; 1,2,3 #42
Learning to Count Objects in Natural Images for Visual Question Answering
In Thu AM Posters
Yan Zhang · Jonathon Hare · Adam Prugel-Bennett
[ PDF] 
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]