Papers
Towards Metamerism via Foveated Style Transfer
Arturo Deza, Aditya Jonnalagadda, Miguel P. Eckstein
Kernel Change-point Detection with Auxiliary Deep Generative Models
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang et al.
Mode Normalization
Lucas Deecke, Iain Murray, Hakan Bilen
Predicting the Generalization Gap in Deep Networks with Margin Distributions
Yiding Jiang, Dilip Krishnan, Hossein Mobahi et al.
Explaining Image Classifiers by Counterfactual Generation
Chun-Hao Chang, Elliot Creager, Anna Goldenberg et al.
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
Matthew Mackay, Paul Vicol, Jonathan Lorraine et al.
Unsupervised Control Through Non-Parametric Discriminative Rewards
David Warde-Farley, Tom Van de Wiele, Tejas Kulkarni et al.
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
Robert Csordas, Juergen Schmidhuber
Subgradient Descent Learns Orthogonal Dictionaries
Yu Bai, Qijia Jiang, Ju Sun
Improving the Generalization of Adversarial Training with Domain Adaptation
Chuanbiao Song, Kun He, Liwei Wang et al.
A Direct Approach to Robust Deep Learning Using Adversarial Networks
Huaxia Wang, Chun-Nam Yu
Preferences Implicit in the State of the World
Rohin Shah, Dmitrii Krasheninnikov, Jordan Alexander et al.
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders
Junxian He, Daniel Spokoyny, Graham Neubig et al.
Learning what you can do before doing anything
Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis et al.
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao, Zhizhen Zhao, Raquel Urtasun et al.
Spreading vectors for similarity search
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid et al.
Probabilistic Planning with Sequential Monte Carlo methods
Alexandre Piche, Valentin Thomas, Cyril Ibrahim et al.
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
Hsin-Yuan Huang, Eunsol Choi, Wen-tau Yih
Information asymmetry in KL-regularized RL
Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever et al.
Diversity-Sensitive Conditional Generative Adversarial Networks
Dingdong Yang, Seunghoon Hong, Yunseok Jang et al.
Fixup Initialization: Residual Learning Without Normalization
Hongyi Zhang, Yann N. Dauphin, Tengyu Ma
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Anirudh Goyal, Philemon Brakel, William Fedus et al.
ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
Jialin Liu, Xiaohan Chen, Zhangyang Wang et al.
Efficient Augmentation via Data Subsampling
Michael Kuchnik, Virginia Smith
Value Propagation Networks
Nantas Nardelli, Gabriel Synnaeve, Zeming Lin et al.