145  
Toggle Poster Visibility
Invited Talk
Mon Apr 30th 09:00 -- 09:45 AM @ Exhibition Hall A
What Can Machine Learning Do? Workforce Implications
Erik Brynjolfsson
Oral
Mon Apr 30th 09:45 -- 10:00 AM @ Exhibition Hall A
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato · Toshiki Kataoka · Masanori Koyama · Yuichi Yoshida
Oral
Mon Apr 30th 10:00 -- 10:15 AM @ Exhibition Hall A
AmbientGAN: Generative models from lossy measurements
Ashish Bora · Eric Price · Alexandros Dimakis
Oral
Mon Apr 30th 10:15 -- 10:30 AM @ Exhibition Hall A
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras · Timo Aila · Samuli Laine · Jaakko Lehtinen
Break
Mon Apr 30th 10:30 -- 11:00 AM @ East Meeting Level, rooms 13/14 & 19/20
Coffee Break
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #1
Deep Complex Networks
Chiheb Trabelsi · Olexa Bilaniuk · Ying Zhang · Dmitriy Serdyuk · Sandeep Subramanian · Joao Felipe Santos · Soroush Mehri · Negar Rostamzadeh · Yoshua Bengio · Christopher Pal
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #2
Universal Agent for Disentangling Environments and Tasks
Jiayuan Mao · Honghua Dong · Joseph J Lim
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #3
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Xiang Wei · Boqing Gong · Zixia Liu · Wei Lu · Liqiang Wang
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #4
Fraternal Dropout
Konrad Zolna · Devansh Arpit · Dendi Suhubdy · Yoshua Bengio
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #5
Learning an Embedding Space for Transferable Robot Skills
Karol Hausman · Jost Tobias Springenberg · ziyu wang · Nicolas Heess · Martin Riedmiller
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #6
Hierarchical Density Order Embeddings
Praphruetpong Athiwaratkun · Andrew G Wilson
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #7
Model compression via distillation and quantization
Antonio Polino · Razvan Pascanu · Dan Alistarh
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #8
Maximum a Posteriori Policy Optimisation
abbas abdolmaleki · Jost Tobias Springenberg · Nicolas Heess · Yuval Tassa · Remi Munos
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #9
MaskGAN: Better Text Generation via Filling in the _______
William Fedus · Ian Goodfellow · Andrew Dai
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #10
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
James Martens · Jimmy Ba · Matthew Johnson
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #11
Scalable Private Learning with PATE
Nicolas Papernot · Shuang Song · Ilya Mironov · Ananth Raghunathan · Kunal Talwar · Ulfar Erlingsson
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #12
Online Learning Rate Adaptation with Hypergradient Descent
Atilim Gunes Baydin · Robert Cornish · David Martínez · Mark Schmidt · Frank Wood
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #13
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste · Michael Chang · Klaus Greff · Jürgen Schmidhuber
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #14
Learning Awareness Models
Brandon Amos · Laurent Dinh · Serkan Cabi · Thomas Rothörl · Sergio Gómez Colmenarejo · Alistair M Muldal · Tom Erez · Yuval Tassa · Nando d Freitas · Misha Denil
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #15
On the regularization of Wasserstein GANs
Henning Petzka · Asja Fischer · Denis Lukovnikov
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #16
Spatially Transformed Adversarial Examples
chaowei Xiao · Jun-Yan Zhu · Bo Li · Warren He · Mingyan Liu · dawn song
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #17
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel · Jonas Rauber ·
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #18
Communication Algorithms via Deep Learning
Hyeji Kim · Yihan Jiang · Ranvir B Rana · Sreeram Kannan · Sewoong Oh · Pramod Viswanath
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #19
Towards Image Understanding from Deep Compression Without Decoding
Róbert Torfason · Fabian Mentzer · Eirikur Agustsson · Michael Tschannen · Radu Timofte · Luc V Gool
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #20
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample · · Ludovic Denoyer · Marc'Aurelio Ranzato
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #21
Boosting the Actor with Dual Critic
Bo Dai · Albert Shaw · Niao He · Lihong Li · Le Song
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #22
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu · Hung H Bui · Hirokazu Narui · Stefano Ermon
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #23
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
Dejiao Zhang · Haozhu Wang · Mario Figueiredo · Laura Balzano
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #24
Parametrized Hierarchical Procedures for Neural Programming
Roy Fox · Richard Shin · Sanjay Krishnan · Ken Goldberg · dawn song · Ion Stoica
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #25
Auto-Encoding Sequential Monte Carlo
Tuan Anh Le · Maximilian Igl · Tom Rainforth · Tom Jin · Frank Wood
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #26
Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai · Yingtao Tian · Bo Dai · Steven Skiena · Le Song
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #27
Learn to Pay Attention
Saumya Jetley · Nicholas Lord · Namhoon Lee · Philip Torr
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #28
The power of deeper networks for expressing natural functions
David Rolnick · Max Tegmark
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #29
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel d Bezenac · Arthur Pajot · gallinari patrick
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #30
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang · Bo Chen · Dandan Guo · Mingyuan Zhou
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #31
Divide and Conquer Networks
Alex Nowak · David Folqué Garcia · Joan Bruna
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #32
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu · Karen Simonyan · Oriol Vinyals · Chrisantha Fernando · Koray Kavukcuoglu
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #33
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi · Praneeth Netrapalli · Prateek Jain · Sham M Kakade
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #34
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson · Risto Miikkulainen
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #35
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry · Aleksandar A Makelov · Ludwig Schmidt · Dimitris Tsipras · Adrian Vladu
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #36
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Zhilin Yang · Zihang Dai · · William W Cohen
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #37
Neural Speed Reading via Skim-RNN
Minjoon Seo · Sewon Min · Ali Farhadi · Hannaneh Hajishirzi
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #38
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar · Tim Rocktaeschel · Maximilian Igl · Shimon Whiteson
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #39
Gradient Estimators for Implicit Models
Yingzhen Li · Richard E Turner
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #40
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye · Xin Lu · Zhe Lin · James Z Wang
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #41
When is a Convolutional Filter Easy to Learn?
Simon S Du · Jason D Lee · Yuandong Tian
Poster
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting level; 1,2,3 #42
MGAN: Training Generative Adversarial Nets with Multiple Generators
Quan Hoang · Tu D Nguyen · Trung Le · Dinh Phung
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #1
Feature Incay for Representation Regularization
YUHUI YUAN · Kuiyuan Yang · Jianyuan Guo · Chao Zhang · Jingdong Wang
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #2
Capturing Human Category Representations by Sampling in Deep Feature Spaces
Joshua Peterson · Krisha Aghi · Jordan W Suchow · Alexander Ku · Thomas L Griffiths
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #3
STOCHASTIC GRADIENT LANGEVIN DYNAMICS THAT EXPLOIT NEURAL NETWORK STRUCTURE
Zachary Nado · Jasper Snoek · Roger Grosse · David Duvenaud · James Martens · Bowen Xu
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #4
Towards Mixed-initiative generation of multi-channel sequential structure
Anna Huang · Sherol Chen · Mark Nelson · Douglas Eck
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #5
Semi-Supervised Learning With GANs: Revisiting Manifold Regularization
Bruno Lecouat · Chuan-Sheng Foo · Houssam Zenati · Vijay Chandrasekhar
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #6
Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders
Nathan Ng · Julian McAuley · Julian Gingold · Nina Desai · Zachary Lipton
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #7
Differentiable Neural Network Architecture Search
Richard Shin · Charles Packer · Dawn Song
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #8
Towards Specification-Directed Program Repair
Richard Shin · Illia Polosukhin · dawn song
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #9
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
Julius Adebayo · Justin Gilmer · Ian Goodfellow · Been Kim
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #10
ShakeDrop regularization
Yoshihiro Yamada · Masakazu Iwamura · Koichi Kise
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #11
Faster Neural Networks Straight from JPEG
Lionel Gueguen · Alexander Sergeev · Ruoqian Liu · Jason Yosinski
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #12
Generative Modeling for Protein Structures
Namrata Anand · Possu Huang
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #13
Selecting the Best in GANs Family: a Post Selection Inference Framework
Yao Hung Tsai · Yi Wu · Makoto Yamada · · Ichiro Takeuchi · Kenji Fukumizu
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #14
Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning
Yun Chen · Kyunghyun Cho · Samuel R. Bowman · Victor OK Li
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #15
A Language and Compiler View on Differentiable Programming
Fei Wang · Tiark Rompf
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #16
Tempered Adversarial Networks
Mehdi Sajjadi · Giambattista Parascandolo · Arash Mehrjou · Bernhard Schoelkopf
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #17
Towards Provable Control for Unknown Linear Dynamical Systems
Sanjeev Arora · Elad Hazan · Holden Lee · Karan Singh · Cyril Zhang · Yi Zhang
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #18
LSTM Iteration Networks: An Exploration of Differentiable Path Finding
Lisa Lee · Emilio Parisotto · Devendra Singh Chaplot ·
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #19
Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design
Daniel Neil · Marwin Segler · Laura Guasch · Mohamed Ahmed · Dean Plumbley · Matthew Sellwood · Nathan Brown
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #20
Policy Optimization with Second-Order Advantage Information
Jiajin Li · Baoxiang Wang
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #21
Deep Convolutional Malware Classifiers Can Learn from Raw Executables and Labels Only
Marek Krčál · Ondřej Švec · Martin Bálek · Otakar Jašek
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #22
TransNets for Review Generation
Rose Kanjirathinkal · William W Cohen
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #23
Extending the Framework of Equilibrium Propagation to General Dynamics
Benjamin Scellier · Anirudh Goyal Alias Parth Goyal · Jonathan Binas · Thomas Mesnard · Yoshua Bengio
Workshop
Mon Apr 30th 11:00 AM -- 01:00 PM @ East Meeting Level 8 + 15 #25
Tree-to-tree Neural Networks for Program Translation
Xinyun Chen · Chang Liu ·
Break
Mon Apr 30th 01:00 -- 02:30 PM @ On Your Own
Lunch
Invited Talk
Mon Apr 30th 02:30 -- 03:15 PM @ Exhibition Hall A
Learning Causal Mechanisms
Bernhard Schoelkopf
Oral
Mon Apr 30th 03:15 -- 03:30 PM @ Exhibition Hall A
Wasserstein Auto-Encoders
Ilya Tolstikhin · Olivier Bousquet · Sylvain Gelly · Bernhard Schoelkopf
Oral
Mon Apr 30th 03:30 -- 03:45 PM @ Exhibition Hall A
On the Convergence of Adam and Beyond
Sashank Reddi · Satyen Kale · Sanjiv Kumar
Oral
Mon Apr 30th 03:45 -- 04:00 PM @ Exhibition Hall A
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi · Praneeth Netrapalli · Prateek Jain · Sham M Kakade
Break
Mon Apr 30th 04:00 -- 04:30 PM @ Ballroom ABC
Coffee Break
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #1
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
Yanshuai Cao · Gavin Weiguang Ding · Yik Chau Lui · Ruitong Huang
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #2
Distributed Distributional Deterministic Policy Gradients
Gabriel Barth-maron · Matthew Hoffman · David Budden · Will Dabney · Daniel Horgan · Dhruva Tirumala Bukkapatnam · Alistair M Muldal · Nicolas Heess · Timothy Lillicrap
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #3
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
Evan Z Liu · Kelvin Guu · Panupong Pasupat · Tim Shi · Percy Liang
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #4
Learning a Generative Model for Validity in Complex Discrete Structures
David Janz · Jos van der Westhuizen · Brooks Paige · Matt J Kusner · José Miguel Hernández Lobato
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #5
TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING
Wen Sun · J. A Bagnell · Byron Boots
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #6
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen · Paul Vicol · Jimmy Ba · Dustin Tran · Roger Grosse
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #7
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon · Eunho Yang · Jeongtae Lee · Sung Ju Hwang
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #8
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
Kangwook Lee · Hoon Kim · Changho Suh
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #9
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Im · He Ma · Graham W Taylor · Kristin Branson
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #10
Attacking Binarized Neural Networks
Angus Galloway · Graham W Taylor · Medhat Moussa
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ 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
Rajarshi Das · Shehzaad Dhuliawala · Manzil Zaheer · Luke Vilnis · Ishan Durugkar · Akshay Krishnamurthy · Alex Smola · Andrew McCallum
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #12
Zero-Shot Visual Imitation
Deepak Pathak · Parsa Mahmoudieh · Guanghao Luo · Pulkit Agrawal · Dian Chen · Fred Shentu · Evan Shelhamer · Jitendra Malik · Alexei Efros · Trevor Darrell
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #13
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
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
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #14
Imitation Learning from Visual Data with Multiple Intentions
Aviv Tamar · Khashayar Rohanimanesh · Yinlam Chow · Chris Vigorito · Ben Goodrich · Michael Kahane · Derik Pridmore
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #15
Demystifying MMD GANs
Mikolaj Binkowski · Dougal Sutherland · Michael Arbel · Arthur Gretton
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #16
A Framework for the Quantitative Evaluation of Disentangled Representations
Cian Eastwood · Chris Williams
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #17
Decision Boundary Analysis of Adversarial Examples
Warren He · Bo Li · dawn song
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #18
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning
Clemens Rosenbaum · Tim Klinger · Matt Riemer
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #19
Compositional Attention Networks for Machine Reasoning
Drew A. Hudson · Christopher D Manning
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #20
Memory-based Parameter Adaptation
Pablo Sprechmann · Siddhant Jayakumar · Jack Rae · Alexander Pritzel · Adria P Badia · Benigno Uria · Oriol Vinyals · Demis Hassabis · Razvan Pascanu · Charles Blundell
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #21
Semi-parametric topological memory for navigation
Nikolay Savinov · Alexey Dosovitskiy · Vladlen Koltun
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #22
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel · Matthew D Hoffman · Adam Roberts
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #23
On the Information Bottleneck Theory of Deep Learning
Andrew Saxe · Yamini Bansal · Joel Dapello · Madhu Advani · Artemy Kolchinsky · Brendan D Tracey · David D Cox
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #24
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak · Yasaman Bahri · Daniel Abolafia · Jeffrey Pennington · Jascha Sohl-Dickstein
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #25
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Yujun Lin · song han · · Yu Wang · Bill Dally
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #26
Skip Connections Eliminate Singularities
Emin Orhan · Xaq Pitkow
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #27
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li · Rose Yu · Cyrus Shahabi · Yan Liu
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #28
Simulating Action Dynamics with Neural Process Networks
Antoine Bosselut · Omer Levy · Ari Holtzman · Corin Ennis · Dieter Fox · Yejin Choi
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #29
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk · Nan Rosemary Ke · Alessandro Sordoni · Adam Trischler · Christopher Pal · Yoshua Bengio
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #30
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
Abram Friesen · Pedro Domingos
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #31
Fast and Accurate Reading Comprehension by Combining Self-Attention and Convolution
Wei Yu · David Dohan · Thang Luong · Rui Zhao · Kai Chen · Mohammad Norouzi · Quoc V Le
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #32
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Swabha Swayamdipta · Ankur Parikh · Tom Kwiatkowski
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #33
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
Sanjeev Arora · Mikhail Khodak · Nikunj Umesh Saunshi · Kiran Vodrahalli
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #34
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian · Adam Trischler · Yoshua Bengio · Christopher Pal
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #35
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
Shuohang Wang · Mo Yu · Jing Jiang · Wei Zhang · Xiaoxiao Guo · Shiyu Chang · Zhiguo Wang · Tim Klinger · Gerald Tesauro · Murray Campbell
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #36
The Kanerva Machine: A Generative Distributed Memory
Yan Wu · Greg Wayne · Alex Graves · Timothy Lillicrap
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #37
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
William A Falcon · Henning Schulzrinne
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #38
Deep Active Learning for Named Entity Recognition
Yanyao Shen · Hyokun Yun · Zachary Lipton · Yakov Kronrod · anima anandkumar
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #39
Variational Network Quantization
Jan Achterhold · Jan M Koehler · Anke Schmeink · Tim Genewein
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #40
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
Ashwin Vijayakumar · Abhishek Mohta · Alex Polozov · Dhruv Batra · Prateek Jain · Sumit Gulwani
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #41
Cascade Adversarial Machine Learning Regularized with a Unified Embedding
Taesik Na · Jong Hwan Ko · Saibal Mukhopadhyay
Poster
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting level; 1,2,3 #42
Training and Inference with Integers in Deep Neural Networks
Shuang Wu · Guoqi Li · Feng Chen · Luping Shi
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #1
Winner's Curse? On Pace, Progress, and Empirical Rigor
D. Sculley · Jasper Snoek · Alex Wiltschko · Ali Rahimi
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #3
Realistic Evaluation of Semi-Supervised Learning Algorithms
Avital Oliver · Augustus Odena · Colin Raffel · Ekin Cubuk · Ian Goodfellow
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #4
Learning to Learn Without Labels
Luke Metz · Niru Maheswaranathan · Brian Cheung
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #5
MemCNN: a Framework for Developing Memory Efficient Deep Invertible Networks
Sil van de Leemput · Jonas Teuwen · Rashindra Manniesing
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #6
Conditional Networks for Few-Shot Semantic Segmentation
Kate Rakelly · Evan Shelhamer · Trevor Darrell · Alexei Efros · Sergey Levine
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #7
An Optimization View on Dynamic Routing Between Capsules
Dilin Wang ·
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #8
Gradients explode - Deep Networks are shallow - ResNet explained
Georg Philipp · · Jaime Carbonell
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #9
Learning Invariance with Compact Transforms
Anna Thomas · Albert Gu · Tri Dao · Atri Rudra · Christopher Re
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #10
An interpretable LSTM neural network for autoregressive exogenous model
Tian Guo · Tao Lin · Yao Lu
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #11
Are Efficient Deep Representations Learnable?
Maxwell Nye · Andrew Saxe
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #12
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Samira Ebrahimi Kahou · Vincent Michalski · Adam Atkinson · Ákos Kádár · Adam Trischler · Yoshua Bengio
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #13
Learning via social awareness: improving sketch representations with facial feedback
Natasha Jaques · Jesse Engel · David Ha · · Rosalind Picard · Douglas Eck
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #14
HoME: a Household Multimodal Environment
Simon Brodeur · · Ankesh Anand · Florian Golemo · Luca Celotti · Florian Strub · Jean Rouat · Hugo Larochelle · Aaron Courville
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #15
Negative eigenvalues of the Hessian in deep neural networks
Guillaume Alain · Nicolas Le Roux · Pierre-Antoine Manzagol
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #16
GILBO: One Metric to Measure Them All
Alexander Alemi · Ian Fischer
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #17
GitGraph - from Computational Subgraphs to Smaller Architecture Search Spaces
Kamil Bennani-Smires · Claudiu Cristian Musat · Andreea Hossmann · Michael Baeriswyl
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #18
Combating Adversarial Attacks Using Sparse Representations
Soorya Gopalakrishnan · Zhinus Marzi · Upamanyu Madhow · Ramtin Pedarsani
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #19
Bayesian Incremental Learning for Deep Neural Networks
Maxim Kochurov · Timur Garipov · Dmitrii Podoprikhin · Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #20
Can Deep Reinforcement Learning solve Erdos-Selfridge-Spencer Games?
Maithra Raghu · Alex Irpan · Jacob Andreas · Robert Kleinberg · Quoc V Le · Jon Kleinberg
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #21
Predict Responsibly: Increasing Fairness by Learning to Defer
David Madras · Richard Zemel ·
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #22
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
Ciprian Florescu · Christian Igel
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #23
Semiparametric Reinforcement Learning
Mika Jain · Mika Jain
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #24
Learning Deep Models: Critical Points and Local Openness
Maher Nouiehed · Meisam Razaviyayn
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #25
Pelee: A Real-Time Object Detection System on Mobile Devices
Jun Wang · · Shuang Ao ·
Workshop
Mon Apr 30th 04:30 -- 06:30 PM @ East Meeting Level 8 + 15 #26
ComboGAN: Unrestricted Scalability for Image Domain Translation
Asha Anoosheh · Eirikur Agustsson ·
Break
Mon Apr 30th 06:30 -- 07:30 PM @ Ballroom ABC
Welcome Reception