Papers
Generative Question Answering: Learning to Answer the Whole Question
Mike Lewis, Angela Fan
Hierarchical Generative Modeling for Controllable Speech Synthesis
Wei-Ning Hsu, Yu Zhang, Ron J. Weiss et al.
Exploration by random network distillation
Yuri Burda, Harrison Edwards, Amos Storkey et al.
FFJORD: Free-Form Continuous Dynamics for Scalable Reversible Generative Models
Will Grathwohl, Ricky T. Q. Chen, Jesse Bettencourt et al.
Learning concise representations for regression by evolving networks of trees
William La Cava, Tilak Raj Singh, James Taggart et al.
Diversity and Depth in Per-Example Routing Models
Prajit Ramachandran, Quoc V. Le
Feature Intertwiner for Object Detection
Hongyang Li, Bo Dai, Shaoshuai Shi et al.
Optimal Completion Distillation for Sequence Learning
Sara Sabour, William Chan, Mohammad Norouzi
ProxQuant: Quantized Neural Networks via Proximal Operators
Yu Bai, Yu-Xiang Wang, Edo Liberty
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
Amanpreet Singh, Tushar Jain, Sainbayar Sukhbaatar
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu et al.
Generalizable Adversarial Training via Spectral Normalization
Farzan Farnia, Jesse Zhang, David Tse
Wasserstein Barycenter Model Ensembling
Pierre Dognin*, Igor Melnyk*, Youssef Mroueh* et al.
Learning Embeddings into Entropic Wasserstein Spaces
Charlie Frogner, Farzaneh Mirzazadeh, Justin Solomon
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
Ori Press, Tomer Galanti, Sagie Benaim et al.
InfoBot: Transfer and Exploration via the Information Bottleneck
Anirudh Goyal, Riashat Islam, DJ Strouse et al.
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski et al.
Learning to Describe Scenes with Programs
Yunchao Liu, Zheng Wu, Daniel Ritchie et al.
InstaGAN: Instance-aware Image-to-Image Translation
Sangwoo Mo, Minsu Cho, Jinwoo Shin
DOM-Q-NET: Grounded RL on Structured Language
Sheng Jia, Jamie Ryan Kiros, Jimmy Ba
A new dog learns old tricks: RL finds classic optimization algorithms
Weiwei Kong, Christopher Liaw, Aranyak Mehta et al.
The Deep Weight Prior
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky et al.
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Ryan L. Murphy, Balasubramaniam Srinivasan, Vinayak Rao et al.
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov, Michael Figurnov, Dmitry Vetrov
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
Wei Ping, Kainan Peng, Jitong Chen