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337 The 2018 schedule is still incomplete Program Highlights »
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Oral
Dates n/a. @ None
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi · Praneeth Netrapalli · Prateek Jain · Sham M Kakade
Oral
Dates n/a. @ None
Zero-Shot Visual Imitation
Deepak Pathak · Parsa Mahmoudieh · Guanghao Luo · Pulkit Agrawal · Dian Chen · Fred Shentu · Evan Shelhamer · · Alexei A Efros · Trevor Darrell
Oral
Dates n/a. @ None
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Zhilin Yang · Zihang Dai · · William W Cohen
Oral
Dates n/a. @ None
On the Convergence of Adam and Beyond
Sashank J. Reddi · · Sanjiv Kumar
Oral
Dates n/a. @ None
Neural Sketch Learning for Conditional Program Generation
Vijayaraghavan Murali · Letao Qi · Swarat Chaudhuri · Chris Jermaine
Oral
Dates n/a. @ None
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Christian Buck · Jannis Bulian · Massimiliano Ciaramita · Wojciech Gajewski · Andrea Gesmundo · Neil Houlsby · Wei Wang.
Oral
Dates n/a. @ None
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu · Aravind Rajeswaran · Yan Duan · Vikash Kumar · Alexandre M Bayen · Sham M Kakade · Igor Mordatch · Pieter Abbeel
Oral
Dates n/a. @ None
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
Angeliki Lazaridou · Karl M Hermann · Karl Tuyls · Stephen Clark
Oral
Dates n/a. @ None
Spherical CNNs
Taco Cohen · Mario Geiger · Jonas Koehler · Max Welling
Oral
Dates n/a. @ None
Certifiable Distributional Robustness with Principled Adversarial Training
Aman Sinha · Hong Namkoong · John Duchi
Oral
Dates n/a. @ None
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
William Murdoch · Peter J Liu · Bin Yu
Oral
Dates n/a. @ None
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat · Trapit Bansal · Yuri Burda · Ilya Sutskever · Igor Mordatch · Pieter Abbeel
Oral
Dates n/a. @ None
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov · Yonatan Bisk
Oral
Dates n/a. @ None
Wasserstein Auto-Encoders
Ilya Tolstikhin · Olivier Bousquet · Sylvain Gelly · Bernhard Schoelkopf
Oral
Dates n/a. @ None
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras · Timo Aila · Samuli Laine · Jaakko Lehtinen
Oral
Dates n/a. @ None
Learning to Represent Programs with Graphs
Miltiadis Allamanis · Marc Brockschmidt · Mahmoud Khademi
Oral
Dates n/a. @ None
AmbientGAN: Generative models from lossy measurements
Ashish Bora · Eric Price · Alex Dimakis
Oral
Dates n/a. @ None
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations
Jiachen Yang · Xiaojing Ye · Rakshit Trivedi · huan xu · Hongyuan Zha
Oral
Dates n/a. @ None
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang · DANLU CHEN · Tianhong Li · Felix Wu · Laurens van der Maaten · Kilian Q Weinberger
Oral
Dates n/a. @ None
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
Nadav Cohen · Ronen Tamari · Amnon Shashua
Oral
Dates n/a. @ None
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma · Bo Li · Yisen Wang · Sarah M Erfani · Sudanthi Wijewickrema · Grant Schoenebeck · Michael E Houle · · James Bailey
Oral
Dates n/a. @ None
Training and Inference with Integers in Deep Neural Networks
Shuang Wu · · ·
Oral
Dates n/a. @ None
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato · Toshiki Kataoka · Masanori Koyama · Yuichi Yoshida
Poster
Dates n/a. @ None
Deep Complex Networks
Chiheb Trabelsi · Olexa Bilaniuk · Ying Zhang · Dmitriy Serdyuk · Sandeep Subramanian · Joao Felipe Santos · Soroush Mehri · Negar Rostamzadeh · Yoshua Bengio · Chris J Pal
Poster
Dates n/a. @ None
Universal Agent for Disentangling Environments and Tasks
Jiayuan Mao · Honghua Dong · Joseph J Lim
Poster
Dates n/a. @ None
Improving the Improved Training of Wasserstein GANs
Xiang Wei · Zixia Liu · Liqiang Wang · Boqing Gong
Poster
Dates n/a. @ None
Fraternal Dropout
Konrad Zolna · Devansh Arpit · Dendi Suhubdy ·
Poster
Dates n/a. @ None
Learning an Embedding Space for Transferable Robot Skills
Karol Hausman · Jost T Springenberg · ziyu wang · Nicolas Heess · Martin Riedmiller
Poster
Dates n/a. @ None
On Modeling Hierarchical Data via Probabilistic Order Embeddings
Praphruetpong Athiwaratkun · Andrew G Wilson
Poster
Dates n/a. @ None
Model compression via distillation and quantization
Antonio Polino · Razvan Pascanu · Dan Alistarh
Poster
Dates n/a. @ None
Maximum a Posteriori Policy Optimisation
abbas abdolmaleki · Jost T Springenberg · Nicolas Heess · yuval tassa · Remi Munos
Poster
Dates n/a. @ None
MaskGAN: Better Text Generation via Filling in the _______
William Fedus · Ian Goodfellow · Andrew Dai
Poster
Dates n/a. @ None
Kernel Implicit Variational Inference
Jiaxin Shi · Shengyang Sun · Jun Zhu
Poster
Dates n/a. @ None
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
James Martens · Jimmy Ba · Matthew Johnson
Poster
Dates n/a. @ None
Scalable Private Learning with PATE
Nicolas Papernot · Shuang Song · Ilya Mironov · Ananth Raghunathan · Kunal Talwar · Ulfar Erlingsson
Poster
Dates n/a. @ None
Online Learning Rate Adaptation with Hypergradient Descent
Atilim Gunes Baydin · Robert Cornish · David Martínez · Mark Schmidt · Frank Wood
Poster
Dates n/a. @ None
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
Sjoerd van Steenkiste · Michael Chang · Klaus Greff · Jürgen Schmidhuber
Poster
Dates n/a. @ None
Learning Awareness Models
Brandon Amos · Laurent Dinh · Serkan Cabi · Thomas Rothörl · Alistair M Muldal · Tom Erez · yuval tassa · Nando d Freitas · Misha Denil
Poster
Dates n/a. @ None
On the regularization of Wasserstein GANs
Henning Petzka · Asja Fischer · Denis Lukovnikov
Poster
Dates n/a. @ None
Spatially Transformed Adversarial Examples
chaowei xiao · Jun-Yan Zhu · Bo Li · Warren He · Mingyan Liu ·
Poster
Dates n/a. @ None
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Wieland Brendel · Jonas Rauber ·
Poster
Dates n/a. @ None
Communication Algorithms via Deep Learning
Hyeji Kim · Yihan Jiang · Ranvir B Rana · Sreeram Kannan · Sewoong Oh ·
Poster
Dates n/a. @ None
Towards Image Understanding from Deep Compression Without Decoding
Róbert Torfason · Fabian Mentzer · · Michael Tschannen · Radu Timofte · Luc V Gool
Poster
Dates n/a. @ None
Unsupervised Machine Translation Using Monolingual Corpora Only
· · Ludovic Denoyer · Marc'Aurelio Ranzato
Poster
Dates n/a. @ None
Boosting the Actor with Dual Critic
Bo Dai · Albert Shaw · Niao He · Lihong Li · Le Song
Poster
Dates n/a. @ None
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
· Gavin Weiguang Ding · Yik Chau Lui · Ruitong Huang
Poster
Dates n/a. @ None
Distributional Policy Gradients
Gabriel Barth-maron · Matthew Hoffman · David Budden · Will Dabney · Dan Horgan · Dhruva Tirumala Bukkapatnam · Alistair M Muldal · Nicolas Heess · Timothy Lillicrap
Poster
Dates n/a. @ None
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu · · Hirokazu Narui · Stefano Ermon
Poster
Dates n/a. @ None
LEARNING TO SHARE: SIMULTANEOUS PARAMETER TYING AND SPARSIFICATION IN DEEP LEARNING
Dejiao Zhang · Haozhu Wang · Mario Figueiredo · Laura Balzano
Poster
Dates n/a. @ None
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration
Evan Z Liu · Kelvin Guu · Panupong Pasupat ·
Poster
Dates n/a. @ None
Learning a Generative Model for Validity in Complex Discrete Structures
David Janz · Jos van der Westhuizen · Brooks Paige · Matt J Kusner · Jose M Hernandez
Poster
Dates n/a. @ None
Parametrized Hierarchical Procedures for Neural Programming
Roy Fox · · Sanjay Krishnan · · · Ion Stoica
Poster
Dates n/a. @ None
Auto-Encoding Sequential Monte Carlo
Tuan Anh Le · Maximilian Igl · Tom Rainforth · Suchen Jin · Frank Wood
Poster
Dates n/a. @ None
Syntax-Directed Variational Autoencoder for Structured Data
Hanjun Dai · Yingtao Tian · Bo Dai · Steven Skiena · Le Song
Poster
Dates n/a. @ None
TRUNCATED HORIZON POLICY SEARCH: DEEP COMBINATION OF REINFORCEMENT AND IMITATION
Wen Sun · J. A Bagnell · Byron Boots
Poster
Dates n/a. @ None
Learn to Pay Attention
Saumya Jetley · Nicholas A Lord · Namhoon Lee · Philip Torr
Poster
Dates n/a. @ None
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
· Paul Vicol · Jimmy Ba · · Roger Grosse
Poster
Dates n/a. @ None
Generative networks as inverse problems with scattering transforms
Tomas Miguel Angles Larico · Stéphane Mallat
Poster
Dates n/a. @ None
Lifelong Learning with Dynamically Expandable Networks
Jaehong Yoon · Eunho Yang · Jeongtae Lee · Sung Ju Hwang
Poster
Dates n/a. @ None
Simulated+Unsupervised Learning With Adaptive Data Generation and Bidirectional Mappings
Kangwook Lee · Hoon Kim · Changho Suh
Poster
Dates n/a. @ None
The power of deeper networks for expressing natural functions
David Rolnick · Max Tegmark
Poster
Dates n/a. @ None
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel d Bezenac · Arthur Pajot · gallinari patrick
Poster
Dates n/a. @ None
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Im · He Ma · Graham W Taylor · Kristin Branson
Poster
Dates n/a. @ None
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Hao Zhang · Bo Chen · Dandan Guo · Mingyuan Zhou
Poster
Dates n/a. @ None
Few-Shot Learning with Graph Neural Networks
Victor G Satorras · Joan Bruna
Poster
Dates n/a. @ None
Divide and Conquer Networks
Alex Nowak · David Folqué Garcia · Joan Bruna
Poster
Dates n/a. @ None
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu · Karen Simonyan · Oriol Vinyals · Chrisantha Fernando · Koray Kavukcuoglu
Poster
Dates n/a. @ None
Attacking Binarized Neural Networks
Angus Galloway · Graham W Taylor · Medhat Moussa
Poster
Dates n/a. @ None
Variational image compression with a scale hyperprior
Johannes Ballé · David Minnen · Saurabh Singh · Sung Jin Hwang · Nick Johnston
Poster
Dates n/a. @ None
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering
Elliot Meyerson · Risto Miikkulainen
Poster
Dates n/a. @ None
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das · Shehzaad Z Dhuliawala · Manzil Zaheer · Luke Vilnis · Ishan Durugkar · Akshay Krishnamurthy · Alex Smola · Andrew McCallum
Poster
Dates n/a. @ None
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
Dates n/a. @ None
Imitation Learning from Visual Data with Multiple Intentions
Aviv Tamar · Khashayar Rohanimanesh · Yinlam Chow · Chris Vigorito · Ben Goodrich · Michael Kahane · Derik Pridmore
Poster
Dates n/a. @ None
Demystifying MMD GANs
Mikolaj Binkowski · Dougal Sutherland · Michael Arbel · Arthur Gretton
Poster
Dates n/a. @ None
A framework for the quantitative evaluation of disentangled representations
Cian Eastwood · Chris Williams
Poster
Dates n/a. @ None
Hierarchical Subtask Discovery with Non-Negative Matrix Factorization
Adam Earle · Andrew M Saxe · Benjamin Rosman
Poster
Dates n/a. @ None
Decision Boundary Analysis of Adversarial Examples
Warren He · Bo Li ·
Poster
Dates n/a. @ None
Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning
· Tim Klinger · Matthew D Riemer
Poster
Dates n/a. @ None
Compositional Attention Networks for Machine Reasoning
Drew Hudson · Christopher D Manning
Poster
Dates n/a. @ None
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
Dates n/a. @ None
Semi-parametric topological memory for navigation
Nikolay Savinov · Alexey Dosovitskiy · Vladlen Koltun
Poster
Dates n/a. @ None
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel · Matthew D Hoffman · Adam Roberts
Poster
Dates n/a. @ None
On the Information Bottleneck Theory of Deep Learning
Andrew M Saxe · Yamini Bansal · Joel Dapello · Madhu Advani · Artemy Kolchinsky · Brendan D Tracey · David D Cox
Poster
Dates n/a. @ None
A Simple Neural Attentive Meta-Learner
Nikhil Mishra · Mostafa Rohaninejad · Xi Chen ·
Poster
Dates n/a. @ None
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak · Yasaman Bahri · Daniel Abolafia · Jeffrey Pennington · Jascha Sohl-Dickstein
Poster
Dates n/a. @ None
NerveNet: Learning Structured Policy with Graph Neural Networks
Tingwu Wang · Renjie Liao · Jimmy Ba · Sanja Fidler
Poster
Dates n/a. @ None
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry · Aleksandar A Makelov · Ludwig Schmidt · Dimitris Tsipras · Adrian Vladu
Poster
Dates n/a. @ None
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Yujun Lin · song han · · · Bill Dally
Poster
Dates n/a. @ None
Dynamic Neural Program Embeddings for Program Repair
Ke Wang · Zhendong Su · Rishabh Singh
Poster
Dates n/a. @ None
Stochastic activation pruning for robust adversarial defense
Guneet Dhillon · Kamyar Azizzadenesheli · Jeremy Bernstein · Jean Kossaifi · Aran Khanna · Zachary Lipton · anima anandkumar
Poster
Dates n/a. @ None
Do GANs learn the distribution? Some Theory and Empirics
Sanjeev Arora · Andrej Risteski · Yi Zhang
Poster
Dates n/a. @ None
Skip Connections Eliminate Singularities
Emin Orhan · Xaq Pitkow
Poster
Dates n/a. @ None
Learning Parametric Closed-Loop Policies for Markov Potential Games
Sergio Valcarcel Macua · Javier Zazo · Santiago Zazo
Poster
Dates n/a. @ None
Learning Approximate Inference Networks for Structured Prediction
Lifu Tu · Kevin Gimpel
Poster
Dates n/a. @ None
Fidelity-Weighted Learning
Mostafa Dehghani · Arash Mehrjou · Stephan Gouws · Jaap Kamps · Bernhard Schoelkopf
Poster
Dates n/a. @ None
HexaConv
Emiel Hoogeboom · Jorn Peters · Taco Cohen · Max Welling
Poster
Dates n/a. @ None
Neural Speed Reading via Skim-RNN
Minjoon Seo · Sewon Min · Ali Farhadi · Hannaneh Hajishirzi
Poster
Dates n/a. @ None
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li · Rose Yu · Cyrus Shahabi · Yan Liu
Poster
Dates n/a. @ None
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker · Christopher Kanan
Poster
Dates n/a. @ None
VARIATIONAL INFERENCE OF DISENTANGLED LATENT CONCEPTS FROM UNLABELED OBSERVATIONS
Abhishek Kumar · Prasanna Sattigeri · Avinash Balakrishnan
Poster
Dates n/a. @ None
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar · Vihari Piratla · Soumen Chakrabarti · Siddharth Chaudhuri · Preethi Jyothi · Sunita Sarawagi
Poster
Dates n/a. @ None
Understanding image motion with group representations
Andrew Jaegle · Stephen Phillips · Daphne Ippolito · Kostas Daniilidis
Poster
Dates n/a. @ None
Simulating Action Dynamics with Neural Process Networks
Antoine Bosselut · Corin Ennis · · Ari Holtzman · Dieter Fox · Yejin Choi
Poster
Dates n/a. @ None
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk · Nan Rosemary Ke · Alessandro Sordoni · Adam Trischler · Chris J Pal · Yoshua Bengio
Poster
Dates n/a. @ None
Matrix capsules with EM routing
Geoffrey E Hinton · Sara Sabour · Nicholas Frosst
Poster
Dates n/a. @ None
Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren · Sachin Ravi · Eleni Triantafillou · Jake Snell · Kevin Swersky · Joshua B Tenenbaum · Hugo Larochelle · Richard Zemel
Poster
Dates n/a. @ None
Global Optimality Conditions for Deep Neural Networks
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
Poster
Dates n/a. @ None
Deep Neural Networks as Gaussian Processes
Jaehoon Lee · Jascha Sohl-Dickstein · Jeffrey Pennington · Roman Novak · Samuel S Schoenholz · Yasaman Bahri
Poster
Dates n/a. @ None
Deep Learning as a Mixed Convex-Combinatorial Optimization Problem
Abram Friesen · Pedro Domingos
Poster
Dates n/a. @ None
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur · Srinadh Bhojanapalli · Nathan Srebro
Poster
Dates n/a. @ None
Fast and Accurate Reading Comprehension by Combining Self-Attention and Convolution
Wei Yu · David Dohan · Quoc V Le · Thang Luong · Rui Zhao · Kai Chen
Poster
Dates n/a. @ None
Multi-Mention Learning for Reading Comprehension with Neural Cascades
Swabha Swayamdipta · Ankur Parikh · Tom Kwiatkowski
Poster
Dates n/a. @ None
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs
Sanjeev Arora · Mikhail Khodak · Nikunj Umesh Saunshi · Kiran Vodrahalli
Poster
Dates n/a. @ None
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach
Tsui-Wei Weng · Huan Zhang · Pin-Yu Chen · Jinfeng Yi · Dong Su · Yupeng Gao · Cho-Jui Hsieh · Luca Daniel
Poster
Dates n/a. @ None
Sobolev GAN
Youssef Mroueh · Chun-Liang Li · Tom Sercu · Anant Raj · Yu Cheng
Poster
Dates n/a. @ None
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
Sandeep Subramanian · Adam Trischler · Yoshua Bengio · Chris J Pal
Poster
Dates n/a. @ None
Divide-and-Conquer Reinforcement Learning
Dibya Ghosh · Avi Singh · Aravind Rajeswaran · Vikash Kumar · Sergey Levine
Poster
Dates n/a. @ None
Deep contextualized word representations
Matthew E Peters · Mark Neumann · Mohit Iyyer · Matt Gardner · Christopher Clark · Kenton Lee · Luke Zettlemoyer
Poster
Dates n/a. @ None
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
Dates n/a. @ None
i-RevNet: Deep Invertible Networks
Joern-Henrik Jacobsen · Arnold W Smeulders · Edouard Oyallon
Poster
Dates n/a. @ None
Multi-View Data Generation Without View Supervision
Mickael Chen · Ludovic Denoyer · thierry artieres
Poster
Dates n/a. @ None
The Kanerva Machine: A Generative Distributed Memory
Yan Wu · Greg Wayne · Alex Graves · Timothy Lillicrap
Poster
Dates n/a. @ None
Action-dependent Control Variates for Policy Optimization via Stein Identity
Hao Liu · · Yi Mao · Dengyong Zhou · Jian Peng · Qiang Liu
Poster
Dates n/a. @ None
Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Vitchyr Pong · Shixiang Gu · Murtaza Dalal · Sergey Levine
Poster
Dates n/a. @ None
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks
Krzysztof Choromanski · Carlton Downey · Byron Boots
Poster
Dates n/a. @ None
Combining Symbolic Expressions and Black-box Function Evaluations for Training Neural Programs
Forough Arabshahi · Sameer Singh · anima anandkumar
Poster
Dates n/a. @ None
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach · Ignasi Clavera · Yan Duan · Aviv Tamar · Pieter Abbeel
Poster
Dates n/a. @ None
Expressive power of recurrent neural networks
Valentin Khrulkov · Alexander Novikov · Ivan Oseledets
Poster
Dates n/a. @ None
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei · Maya Kabkab · Rama Chellappa
Poster
Dates n/a. @ None
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference
Sebastian Nowozin
Poster
Dates n/a. @ None
Certified Defenses against Adversarial Examples
Aditi Raghunathan · Jacob Steinhardt ·
Poster
Dates n/a. @ None
Semantic Interpolation in Implicit Models
Yannic Kilcher · Aurelien Lucchi · Thomas Hofmann
Poster
Dates n/a. @ None
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach · Shixiang Gu · Julian Ibarz ·
Poster
Dates n/a. @ None
Learning One-hidden-layer Neural Networks with Landscape Design
Rong Ge · Jason Lee · Tengyu Ma
Poster
Dates n/a. @ None
Thermometer Encoding: One Hot Way To Resist Adversarial Examples
Jacob Buckman · Aurko Roy · · Ian Goodfellow
Poster
Dates n/a. @ None
Generating Wikipedia by Summarizing Long Sequences
Peter J Liu · Mohammad Saleh · Etienne Pot · Ben Goodrich · Ryan Sepassi · Lukasz Kaiser · Noam Shazeer
Poster
Dates n/a. @ None
Measuring the Intrinsic Dimension of Objective Landscapes
Chunyuan Li · Heerad Farkhoor · Ruoqian Liu · Jason Yosinski
Poster
Dates n/a. @ None
Predicting Floor-Level for 911 Calls with Neural Networks and Smartphone Sensor Data
William A Falcon · Henning Schulzrinne
Poster
Dates n/a. @ None
Neural Language Modeling by Jointly Learning Syntax and Lexicon
Yikang Shen · Zhouhan Lin · Chin-Wei Huang · Aaron Courville
Poster
Dates n/a. @ None
Deep Active Learning for Named Entity Recognition
Yanyao Shen · Hyokun Yun · Zachary Lipton · Yakov Kronrod · anima anandkumar
Poster
Dates n/a. @ None
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
Bo Zong · Qi Song · Martin Min · Wei Cheng · Cristian Lumezanu · Daeki Cho · Haifeng Chen
Poster
Dates n/a. @ None
Training GANs with Optimism
Constantinos Daskalakis · Andrew Ilyas · Vasilis Syrgkanis · Haoyang Zeng
Poster
Dates n/a. @ None
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Tianmin Shu · Caiming Xiong · richard socher
Poster
Dates n/a. @ None
An efficient framework for learning sentence representations
Lajanugen Logeswaran · Honglak Lee
Poster
Dates n/a. @ None
Latent Space Oddity: on the Curvature of Deep Generative Models
Georgios Arvanitidis · Lars K Hansen · Søren Hauberg
Poster
Dates n/a. @ None
Variational Network Quantization
Jan Achterhold · Jan M Koehler · Anke Schmeink · Tim Genewein
Poster
Dates n/a. @ None
N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning
Anubhav Ashok · Nicholas Rhinehart · Fares Beainy · Kris M Kitani
Poster
Dates n/a. @ None
The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
Audrunas Gruslys · Will Dabney · Mohammad Gheshlaghi Azar · Bilal Piot · Marc G Bellemare · Remi Munos
Poster
Dates n/a. @ None
Distributed Prioritized Experience Replay
Dan Horgan · John Quan · David Budden · Gabriel Barth-maron · Matteo Hessel · Hado van Hasselt · David Silver
Poster
Dates n/a. @ None
Temporally Efficient Deep Learning with Spikes
Peter OConnor · Efstratios Gavves · Matthias Reisser · Max Welling
Poster
Dates n/a. @ None
Variational Message Passing with Structured Inference Networks
Wu Lin · Mohammad Emtiyaz Khan · Nicolas Hubacher
Poster
Dates n/a. @ None
Adversarial Dropout Regularization
Kuniaki Saito · Yoshitaka Ushiku · Tatsuya Harada · Kate Saenko
Poster
Dates n/a. @ None
Countering Adversarial Images using Input Transformations
Chuan Guo · Mayank Rana · Moustapha Cisse · Laurens van der Maaten
Poster
Dates n/a. @ None
A Hierarchical Model for Device Placement
Azalia Mirhoseini · Anna Goldie · Hieu Pham · Benoit Steiner · Quoc V Le · Jeff Dean
Poster
Dates n/a. @ None
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
Ashwin K Vijayakumar · Abhishek Mohta · Alex Polozov · Dhruv Batra · Prateek Jain · Sumit Gulwani
Poster
Dates n/a. @ None
Generating Natural Adversarial Examples
Zhengli Zhao · Dheeru Dua · Sameer Singh
Poster
Dates n/a. @ None
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
Manuel Molano-Mazon · Arno Onken · Eugenio Piasini · Stefano Panzeri
Poster
Dates n/a. @ None
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen · Tengfei Ma · Cao Xiao
Poster
Dates n/a. @ None
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar · Zeming Lin · Ilya Kostrikov · Gabriel Synnaeve · Arthur Szlam · Rob Fergus
Poster
Dates n/a. @ None
Learning Robust Rewards with Adverserial Inverse Reinforcement Learning
Justin Fu · Katie Luo · Sergey Levine
Poster
Dates n/a. @ None
META LEARNING SHARED HIERARCHIES
Kevin Frans · Jonathan Ho · · Pieter Abbeel · John Schulman
Poster
Dates n/a. @ None
SCAN: Learning Hierarchical Compositional Visual Concepts
Irina Higgins · Nicolas Sonnerat · Loic Matthey · Arka Pal · Christopher P Burgess · Matko Bošnjak · Murray Shanahan · Matthew Botvinick · · Alexander Lerchner
Poster
Dates n/a. @ None
Boundary Seeking GANs
R Devon Hjelm · Athul Paul Jacob · Adam Trischler · Tong Che · Kyunghyun Cho · Yoshua Bengio
Poster
Dates n/a. @ None
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Pratik A Chaudhari · Stefano Soatto
Poster
Dates n/a. @ None
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets
Jinsung Yoon · James Jordan · Mihaela v Schaar
Poster
Dates n/a. @ None
The Role of Minimal Complexity Functions in Unsupervised Learning of Semantic Mappings
Tomer Galanti · Lior Wolf · Sagie Benaim
Poster
Dates n/a. @ None
Understanding Deep Neural Networks with Rectified Linear Units
Raman Arora · Amitabh Basu · Poorya Mianjy · Anirbit Mukherjee
Poster
Dates n/a. @ None
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
Mario Wieser · Aleksander Wieczorek · Damian Murezzan · Volker Roth
Poster
Dates n/a. @ None
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramer · Alexey Kurakin · Nicolas Papernot · Ian Goodfellow · Dan Boneh · Patrick McDaniel
Poster
Dates n/a. @ None
Learning From Noisy Singly-labeled Data
Ashish Khetan · Zachary Lipton · anima anandkumar
Poster
Dates n/a. @ None
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu · Christopher Snyder · Alex Dimakis · Sriram Vishwanath
Poster
Dates n/a. @ None
Genetic Policy Optimization
Tanmay Gangwani · Jian Peng
Poster
Dates n/a. @ None
Gaussian Process Behaviour in Wide Deep Neural Networks
Alexander Matthews · Jiri Hron · Mark Rowland · Richard E Turner · Zoubin Ghahramani
Poster
Dates n/a. @ None
Stochastic Variational Video Prediction
Mohammad Babaeizadeh · Chelsea Finn · Dumitru Erhan · Roy H Campbell · Sergey Levine
Poster
Dates n/a. @ None
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song · Taesup Kim · Sebastian Nowozin · Stefano Ermon · Nate Kushman
Poster
Dates n/a. @ None
Modular Continual Learning in a Unified Visual Environment
Kevin Feigelis · Blue Sheffer · Daniel L Yamins
Poster
Dates n/a. @ None
On Unifying Deep Generative Models
Zhiting Hu · · · Eric P Xing
Poster
Dates n/a. @ None
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Ofir Nachum · Mohammad Norouzi · Kelvin Xu · Dale Schuurmans
Poster
Dates n/a. @ None
Unsupervised Neural Machine Translation
Mikel Artetxe · Gorka Labaka · Eneko Agirre · Kyunghyun Cho
Poster
Dates n/a. @ None
Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties
Yi Zhou · Yingbin Liang
Poster
Dates n/a. @ None
Smooth Loss Functions for Deep Top-k Classification
Leonard Berrada · Andrew Zisserman · M. Pawan Kumar
Poster
Dates n/a. @ None
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit Mishra · Debbie Marr
Poster
Dates n/a. @ None
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan · · Rif A. Saurous
Poster
Dates n/a. @ None
Can Neural Networks Understand Logical Entailment?
Richard Evans · David Saxton · David Amos · Pushmeet Kohli · Edward Grefenstette
Poster
Dates n/a. @ None
Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent
Zhilin Yang · Saizheng Zhang · Jack Urbanek · Will Feng · Alexander Miller · Arthur Szlam · Douwe Kiela · Jason Weston
Poster
Dates n/a. @ None
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang · Moustapha Cisse · Yann N Dauphin · David Lopez-Paz
Poster
Dates n/a. @ None
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Carlos Riquelme · George Tucker · Jasper Snoek
Poster
Dates n/a. @ None
Large Scale Optimal Transport and Mapping Estimation
Vivien Seguy · Bharath Bhushan Damodaran · Rémi Flamary · Nicolas Courty · Antoine Rolet · Mathieu Blondel
Poster
Dates n/a. @ None
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
William Fedus · Mihaela Rosca · Balaji Lakshminarayanan · Andrew Dai · Shakir Mohamed · Ian Goodfellow
Poster
Dates n/a. @ None
Can recurrent neural networks warp time?
Corentin Tallec ·
Poster
Dates n/a. @ None
Learning Latent Permutations with Gumbel-Sinkhorn Networks
gonzalo mena · David Belanger · · Jasper Snoek
Poster
Dates n/a. @ None
Unbiased Online Recurrent Optimization
Corentin Tallec · Yann Ollivier
Poster
Dates n/a. @ None
Meta-Learning and Universality: Deep Representations and Gradient Descent can Approximate any Learning Algorithm
Chelsea Finn · Sergey Levine
Poster
Dates n/a. @ None
Guide Actor-Critic for Continuous Control
Voot Tangkaratt · · Masashi Sugiyama
Poster
Dates n/a. @ None
Learning Differentially Private Recurrent Language Models
H. Brendan McMahan · Daniel Ramage · Kunal Talwar · Li Zhang
Poster
Dates n/a. @ None
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking
Aleksandar Bojchevski · Stephan Günnemann
Poster
Dates n/a. @ None
Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Scott Reed · Yutian Chen · Thomas Paine · Aaron v den · S. M. Ali Eslami · Danilo J Rezende · Oriol Vinyals · Nando d Freitas
Poster
Dates n/a. @ None
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
Artemij Amiranashvili · Alexey Dosovitskiy · Vladlen Koltun · Thomas Brox
Poster
Dates n/a. @ None
SEARNN: Training RNNs with global-local losses
Rémi Leblond · Jean-Baptiste Alayrac · Anton Osokin · Simon Lacoste-Julien
Poster
Dates n/a. @ None
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl · Dami Choi · Yuhuai Wu · Geoffrey Roeder · David Duvenaud
Poster
Dates n/a. @ None
Learning to Teach
· Fei Tian · Tao Qin · Tie-Yan Liu
Poster
Dates n/a. @ None
Active Learning for Convolutional Neural Networks: A Core-Set Approach
Ozan Sener · Silvio Savarese
Poster
Dates n/a. @ None
Interpretable Counting for Visual Question Answering
Alexander Trott · Caiming Xiong ·
Poster
Dates n/a. @ None
Neural Map: Structured Memory for Deep Reinforcement Learning
Emilio Parisotto ·
Poster
Dates n/a. @ None
Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
Da Xiao · Jo-Yu Liao · xingyuan yuan
Poster
Dates n/a. @ None
TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning
Gregory Farquhar · Tim Rocktaeschel · Maximilian Igl · Shimon Whiteson
Poster
Dates n/a. @ None
Variational Continual Learning
Cuong V Nguyen · Yingzhen Li · Thang Bui · Richard E Turner
Poster
Dates n/a. @ None
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
Feiwen Zhu · Jeff Pool · Michael Andersch · Jeremy Appleyard · Fung Xie
Poster
Dates n/a. @ None
Eigenoption Discovery through the Deep Successor Representation
Marlos C. Machado · · Xiaoxiao Guo · Miao Liu · Gerald Tesauro · Murray Campbell
Poster
Dates n/a. @ None
Proximal Backpropagation
Thomas Frerix · Thomas Möllenhoff · Michael Moeller · Daniel Cremers
Poster
Dates n/a. @ None
Loss-aware Weight Quantization of Deep Networks
LU HOU · James Kwok
Poster
Dates n/a. @ None
Memory Architectures in Recurrent Neural Network Language Models
Dani Yogatama · yishu miao · Gábor Melis · Wang Ling · Adhiguna Kuncoro · Chris Dyer · Phil Blunsom
Poster
Dates n/a. @ None
Learning a neural response metric for retinal prosthesis
Nishal Shah · Sasidhar Madugula · E.J. Chichilnisky · Yoram Singer · Jonathon Shlens
Poster
Dates n/a. @ None
Self-ensembling for visual domain adaptation
Geoff W French · Michal Mackiewicz · Mark Fisher
Poster
Dates n/a. @ None
WRPN: Wide Reduced-Precision Networks
Asit Mishra · Eriko Nurvitadhi · Jeffrey J Cook · Debbie Marr
Poster
Dates n/a. @ None
PixelNN: Example-based Image Synthesis
Aayush Bansal · Yaser Sheikh · Deva Ramanan
Poster
Dates n/a. @ None
Emergent Communication through Negotiation
Kris Cao · Angeliki Lazaridou · Marc Lanctot · Joel Z Leibo · Karl Tuyls · Stephen Clark
Poster
Dates n/a. @ None
Monotonic Chunkwise Attention
Chung-Cheng Chiu · Colin Raffel
Poster
Dates n/a. @ None
Emergent Communication in a Multi-Modal, Multi-Step Referential Game
Katrina Evtimova · Andrew Drozdov · Douwe Kiela · Kyunghyun Cho
Poster
Dates n/a. @ None
Stabilizing Adversarial Nets with Prediction Methods
Abhay Kumar Yadav · Sohil Shah · Zheng Xu · David Jacobs · Tom Goldstein
Poster
Dates n/a. @ None
On the State of the Art of Evaluation in Neural Language Models
Gábor Melis · Chris Dyer · Phil Blunsom
Poster
Dates n/a. @ None
Fix your classifier: the marginal value of training the last weight layer
Elad Hoffer · Itay Hubara · Daniel Soudry
Poster
Dates n/a. @ None
cGANs with Projection Discriminator
Takeru Miyato · Masanori Koyama
Poster
Dates n/a. @ None
Generative Models of Visually Grounded Imagination
Shanmukha Ramakrishna Vedantam · Ian Fischer · Jonathan Huang · Kevin P Murphy
Poster
Dates n/a. @ None
Emergent Translation in Multi-Agent Communication
Jason Lee · Kyunghyun Cho · Jason Weston · Douwe Kiela
Poster
Dates n/a. @ None
VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop
Yaniv Taigman · Lior Wolf · Adam Polyak · Eliya Nachmani
Poster
Dates n/a. @ None
Activation Maximization Generative Adversarial Nets
Zhiming Zhou · Han Cai · Shu Rong · · Kan Ren · Weinan Zhang · · Yong Yu
Poster
Dates n/a. @ None
Learning Sparse Neural Networks through L_0 Regularization
Christos Louizos · Max Welling · Diederik P Kingma
Poster
Dates n/a. @ None
Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
Pietro Morerio · Jacopo Cavazza · Vittorio Murino
Poster
Dates n/a. @ None
A Scalable Laplace Approximation for Neural Networks
Hippolyt Ritter · Aleksandar Botev ·
Poster
Dates n/a. @ None
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee · Honglak Lee · Kibok Lee · Jinwoo Shin
Poster
Dates n/a. @ None
Identifying Analogies Across Domains
Yedid Hoshen · Lior Wolf
Poster
Dates n/a. @ None
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris · Praveer Singh · Nikos Komodakis
Poster
Dates n/a. @ None
Parameter Space Noise for Exploration
Matthias Plappert · Rein Houthooft · Prafulla Dhariwal · Szymon Sidor · Richard Chen · Xi Chen · Tamim Asfour · Pieter Abbeel · Marcin Andrychowicz
Poster
Dates n/a. @ None
An image representation based convolutional network for DNA classification
Bojian Yin · Marleen Balvert · Davide Zambrano · Alexander Schoenhuth ·
Poster
Dates n/a. @ None
On the Expressive Power of Overlapping Architectures of Deep Learning
Or Sharir · Amnon Shashua
Poster
Dates n/a. @ None
On the importance of single directions for generalization
Ari Morcos · David GT Barrett · Neil C Rabinowitz · Matthew Botvinick
Poster
Dates n/a. @ None
Overcoming Catastrophic Interference using Conceptor-Aided Backpropagation
Xu He · Herbert Jaeger
Poster
Dates n/a. @ None
Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling
Tao Shen · Tianyi Zhou · Guodong Long · · Chengqi Zhang
Poster
Dates n/a. @ None
Alternating Multi-bit Quantization for Recurrent Neural Networks
Chen Xu · Jianqiang Yao · Zhouchen Lin · Wenwu Ou · · Zhirong Wang · Hongbin Zha
Poster
Dates n/a. @ None
The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry · Elad Hoffer · Nathan Srebro
Poster
Dates n/a. @ None
RESIDUAL LOSS PREDICTION: REINFORCEMENT LEARNING WITH NO INCREMENTAL FEEDBACK
Hal Daumé III · John Langford · Paul Mineiro · Amr Mohamed Nabil Aly Aly Sharaf
Poster
Dates n/a. @ None
Mitigating Adversarial Effects Through Randomization
cihang xie · Jianyu Wang · Zhishuai Zhang · Zhou Ren · Alan Yuille
Poster
Dates n/a. @ None
Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks
Jinsung Yoon · William R Zame · Mihaela v Schaar
Poster
Dates n/a. @ None
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Yuhuai Wu · Mengye Ren · Renjie Liao · Roger Grosse
Poster
Dates n/a. @ None
Non-Autoregressive Neural Machine Translation
Jiatao Gu · James Bradbury · Caiming Xiong · Victor OK Li ·
Poster
Dates n/a. @ None
Compressing Word Embeddings via Deep Compositional Code Learning
· Hideki Nakayama
Poster
Dates n/a. @ None
Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh · Max Augustin · Mario Fritz · Bernt Schiele
Poster
Dates n/a. @ None
The High-Dimensional Geometry of Binary Neural Networks
Alexander Anderson · Cory P Berg
Poster
Dates n/a. @ None
Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
Christopher Cueva · Xue-Xin Wei
Poster
Dates n/a. @ None
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
Hsin-Yuan Huang · Chenguang Zhu · · Weizhu Chen
Poster
Dates n/a. @ None
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser · Aidan Gomez · Francois Chollet
Poster
Dates n/a. @ None
On the Discrimination-Generalization Tradeoff in GANs
Pengchuan Zhang · Qiang Liu · Dengyong Zhou · Tao Xu · Xiaodong He
Poster
Dates n/a. @ None
Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Eric Martin · Christopher Cundy
Poster
Dates n/a. @ None
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization
Ozsel Kilinc · Ismail Uysal
Poster
Dates n/a. @ None
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner · Bernhard Nessler · Calvin Seward · Günter Klambauer · · Hubert Ramsauer · Sepp Hochreiter
Poster
Dates n/a. @ None
Gradient Estimators for Implicit Models
Yingzhen Li · Richard E Turner
Poster
Dates n/a. @ None
Multi-level Residual Networks from Dynamical Systems View
Bo Chang · Lili Meng · Eldad Haber · Frederick Tung · David Begert
Poster
Dates n/a. @ None
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Alon Brutzkus · · Eran Malach · Shai Shalev-Shwartz
Poster
Dates n/a. @ None
Large scale distributed neural network training through online distillation
Rohan Anil · Gabriel Pereyra · Alexandre Tachard Passos · Robert Ormandi · George Dahl · Geoffrey E Hinton
Poster
Dates n/a. @ None
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
Dongsoo Lee · Daehyun Ahn · Taesu Kim · Pierce I Chuang · Jae-Joon Kim
Poster
Dates n/a. @ None
Learning to Multi-Task by Active Sampling
Sahil Sharma · Ashutosh Kumar Jha · Parikshit Hegde · Balaraman Ravindran
Poster
Dates n/a. @ None
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering
Caiming Xiong · richard socher · Victor Zhong
Poster
Dates n/a. @ None
Learning from Between-class Examples for Deep Sound Recognition
Yuji Tokozume · Yoshitaka Ushiku · Tatsuya Harada
Poster
Dates n/a. @ None
Emergent Complexity via Multi-Agent Competition
Trapit Bansal · Jakub Pachocki · Szymon Sidor · Ilya Sutskever · Igor Mordatch
Poster
Dates n/a. @ None
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Lior Fox · Leshem Choshen · Yonatan Loewenstein
Poster
Dates n/a. @ None
Wavelet Pooling for Convolutional Neural Networks
Travis Williams · Robert Li
Poster
Dates n/a. @ None
Polar Transformer Networks
Carlos Esteves · Christine Allen-Blanchette · Xiaowei Zhou · Kostas Daniilidis
Poster
Dates n/a. @ None
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
R. Srikant · Shiyu Liang · Yixuan Li
Poster
Dates n/a. @ None
Multi-Agent Compositional Communication Learning from Raw Visual Input
Edward Choi · Angeliki Lazaridou · Nando d Freitas
Poster
Dates n/a. @ None
Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
Yi Zhou · Zimo Li · Shuangjiu Xiao · Chong He · Zeng Huang · Hao Li
Poster
Dates n/a. @ None
Residual Connections Encourage Iterative Inference
Stanislaw K Jastrzebski · Devansh Arpit · Nicolas Ballas · Vikas Verma · Tong Che · Yoshua Bengio
Poster
Dates n/a. @ None
Towards Synthesizing Complex Programs From Input-Output Examples
Xinyun Chen · Chang Liu ·
Poster
Dates n/a. @ None
Multi-Task Learning for Document Ranking and Query Suggestion
Wasi U Ahmad · Kai-Wei Chang · Hongning Wang
Poster
Dates n/a. @ None
Adaptive Quantization of Neural Networks
Soroosh Khoram · Jing Li
Poster
Dates n/a. @ None
Don't Decay the Learning Rate, Increase the Batch Size
Samuel Smith · Pieter-Jan Kindermans · Quoc V Le
Poster
Dates n/a. @ None
TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN
Xu Chen · Jiang Wang · Hao Ge
Poster
Dates n/a. @ None
Implicit Causal Models for Genome-wide Association Studies
Dustin Tran · David Blei
Poster
Dates n/a. @ None
Interactive Grounded Language Acquisition and Generalization in a 2D World
Haonan Yu · Haichao Zhang · Wei Xu
Poster
Dates n/a. @ None
Scheduled Learning with Declining Diversity and Incremental Difficulty
Tianyi Zhou · Jeff Bilmes
Poster
Dates n/a. @ None
Unsupervised Cipher Cracking Using Discrete GANs
Aidan Gomez · Sicong(Sheldon) Huang · Ivan Zhang · Bryan M Li · Muhammad Osama · Lukasz Kaiser
Poster
Dates n/a. @ None
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus · Caiming Xiong · richard socher
Poster
Dates n/a. @ None
Hyperparameter optimization: a spectral approach
Elad Hazan · Adam Klivans · Yang Yuan
Poster
Dates n/a. @ None
Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Chris Donahue · Akshay Balsubramani · Julian McAuley · Zachary Lipton
Poster
Dates n/a. @ None
Deep Learning with Logged Bandit Feedback
Thorsten Joachims · Adith Swaminathan · Maarten de Rijke
Poster
Dates n/a. @ None
Not-So-Random Features
Brian Bullins · Cyril Zhang · Yi Zhang
Poster
Dates n/a. @ None
Generalizing Hamiltonian Monte Carlo with Neural Networks
Daniel Levy · Matthew D Hoffman · Jascha Sohl-Dickstein
Poster
Dates n/a. @ None
Detecting Statistical Interactions from Neural Network Weights
Michael Tsang · Dehua Cheng · Yan Liu
Poster
Dates n/a. @ None
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective
Seyed Mohsen Moosavi Dezfooli · Alhussein Fawzi · Omar Fawzi · Pascal Frossard ·
Poster
Dates n/a. @ None
Adaptive Dropout with Rademacher Complexity Regularization
Ke Zhai · Huan Wang
Poster
Dates n/a. @ None
Mixed Precision Training
Paulius Micikevicius · · Jonah Alben · Gregory Diamos · Erich K Elsen · David Garcia · Boris Ginsburg · Michael Houston · Oleksii Kuchaiev · Ganesh Venkatesh · Hao Wu
Poster
Dates n/a. @ None
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel Smith · Quoc V Le
Poster
Dates n/a. @ None
SpectralNet: Spectral Clustering using Deep Neural Networks
Uri Shaham · Kelly Stanton · Henry (Fangyi) Li · Ronen Basri · Boaz Nadler · Yuval Kluger
Poster
Dates n/a. @ None
Deep Rewiring: Training very sparse deep networks
Guillaume Bellec · David Kappel · Wolfgang Maass ·
Poster
Dates n/a. @ None
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
Youngjin Kim · Minjung Kim · Gunhee Kim
Poster
Dates n/a. @ None
A Neural Representation of Sketch Drawings
David Ha · Douglas Eck
Poster
Dates n/a. @ None
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel · Matthew Hausknecht · Jacob Devlin · Rishabh Singh · Pushmeet Kohli
Poster
Dates n/a. @ None
Reinforcement Learning Algorithm Selection
Romain Laroche · Raphaël Féraud
Poster
Dates n/a. @ None
Improving GANs Using Optimal Transport
Tim Salimans · Han Zhang · Alec Radford · Dimitris Metaxas
Poster
Dates n/a. @ None
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu · Jeff Pool · · Bill Dally
Poster
Dates n/a. @ None
All-but-the-Top: Simple and Effective Postprocessing for Word Representations
Jiaqi Mu ·
Poster
Dates n/a. @ None
Graph Attention Networks
Petar Veličković · Guillem Cucurull Preixens · Arantxa Casanova Paga · Adriana Romero · Pietro Liò · Yoshua Bengio
Poster
Dates n/a. @ None
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
Glen Berseth · Cheng Xie · Paul Cernek · Michiel van de Panne
Poster
Dates n/a. @ None
An Online Learning Approach to Generative Adversarial Networks
Paulina Grnarova · Kfir Y Levy · Aurelien Lucchi · Thomas Hofmann · Andreas Krause
Poster
Dates n/a. @ None
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona · Enea Ceolini · Cengiz Öztireli · Markus Gross
Poster
Dates n/a. @ None
Critical Percolation as a Framework to Analyze the Training of Deep Networks
Zohar Ringel · Rodrigo Andrade de Bem
Poster
Dates n/a. @ None
Espresso: Efficient Forward Propagation for Binary Deep Neural Networks
Fabrizio Pedersoli · George Tzanetakis · Andrea Tagliasacchi
Poster
Dates n/a. @ None
Learning Wasserstein Embeddings
Nicolas Courty · Rémi Flamary · Mélanie Ducoffe
Poster
Dates n/a. @ None
Towards Neural Phrase-based Machine Translation
Po-Sen Huang · Chong Wang · Sitao Huang · ·
Poster
Dates n/a. @ None
Learning to Count Objects in Natural Images for Visual Question Answering
Yan Zhang · Jonathon Hare ·
Poster
Dates n/a. @ None
Noisy Networks For Exploration
Meire Fortunato · Mohammad Gheshlaghi Azar · Bilal Piot · Jacob Menick · Matteo Hessel · Ian Osband · Alex Graves · Volodymyr Mnih · Remi Munos · Demis Hassabis · · Charles Blundell · Shane Legg
Poster
Dates n/a. @ None
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré · Sébastien Forestier · Olivier Sigaud · Pierre-Yves Oudeyer
Poster
Dates n/a. @ None
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
Yoav Levine · David Yakira · Nadav Cohen · Amnon Shashua
Poster
Dates n/a. @ None
Training wide residual networks for deployment using a single bit for each weight
Mark D. McDonnell
Poster
Dates n/a. @ None
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Víctor Campos · Brendan Jou · Xavier Giro-i-Nieto · Jordi Torres ·
Poster
Dates n/a. @ None
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes
Erin Grant · Chelsea Finn · Sergey Levine · Trevor Darrell · Thomas L Griffiths
Poster
Dates n/a. @ None
Learning Discrete Weights Using the Local Reparameterization Trick
Oran Shayer · Dan Levi · Ethan Fetaya
Poster
Dates n/a. @ None
Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers
Jianbo Ye · Xin Lu · Zhe Lin · James Z Wang
Poster
Dates n/a. @ None
Regularizing and Optimizing LSTM Language Models
Stephen Merity · Nitish Shirish Keskar · richard socher
Poster
Dates n/a. @ None
When is a Convolutional Filter Easy to Learn?
Simon S Du · Jason D Lee · Yuandong Tian
Poster
Dates n/a. @ None
MGAN: Training Generative Adversarial Nets with Multiple Generators
Quan Hoang · Tu D Nguyen · Trung Le · Dinh Phung
Poster
Dates n/a. @ None
Active Neural Localization
Devendra Singh Chaplot · Emilio Parisotto ·
Poster
Dates n/a. @ None
Memory Augmented Control Networks
Arbaaz Khan · Clark Zhang · Nikolay Atanasov · Konstantinos Karydis · Vijay Kumar · Daniel D Lee
Poster
Dates n/a. @ None
Learning how to explain neural networks: PatternNet and PatternAttribution
Pieter-Jan Kindermans · Kristof T Schütt · Maximilian Alber · Klaus R Muller · Dumitru Erhan · · Sven Dähne
Poster
Dates n/a. @ None
Deep Voice 3: 2000-Speaker Neural Text-to-Speech
Wei Ping · Kainan Peng · Andrew Gibiansky · Sercan Arik · Ajay Kannan · · Jonathan Raiman · John Miller
Poster
Dates n/a. @ None
Cascade Adversarial Machine Learning Regularized with a Unified Embedding
Taesik Na · Jong Hwan Ko · Saibal Mukhopadhyay
Poster
Dates n/a. @ None
A New Method of Region Embedding for Text Classification
Chao Qiao · Bo Huang · Guocheng Niu · · · · ·
Poster
Dates n/a. @ None
Distributed Fine-tuning of Language Models on Private Data
Vadim Popov · Mikhail Kudinov · Irina Piontkovskaya · Petr Vytovtov · Alex Nevidomsky
Poster
Dates n/a. @ None
Automatically Inferring Data Quality for Spatiotemporal Forecasting
Sungyong Seo · Arash Mohegh · George Ban-Weiss · Yan Liu
Poster
Dates n/a. @ None
Empirical Risk Landscape Analysis for Understanding Deep Neural Networks
Pan Zhou · Jiashi Feng · Pan Zhou
Poster
Dates n/a. @ None
Decoupling the Layers in Residual Networks
Ricky Fok · Aijun An · Zana Rashidi · Xiaogang Wang
Poster
Dates n/a. @ None
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu · Zhaoyang Lv · Zsolt Kira
Poster
Dates n/a. @ None
Natural Language Inference over Interaction Space
Yichen Gong · · Jian Zhang
Poster
Dates n/a. @ None
Consequentialist conditional cooperation in social dilemmas with imperfect information
· Adam Lerer
Poster
Dates n/a. @ None
Word translation without parallel data
· · Marc'Aurelio Ranzato · · Hervé Jégou
Poster
Dates n/a. @ None
Learning Intrinsic Sparse Structures within Long Short-Term Memory
Wei Wen · Yuxiong He · Samyam Rajbhandari · Minjia Zhang · Wenhan Wang · Fang Liu · Bin Hu · Yiran Chen · Hai Li
Poster
Dates n/a. @ None
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock · Theo Lim · James Ritchie · Nick Weston