Explaining Image Classifiers by Counterfactual Generation
By Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud

 

Visual Reasoning by Progressive Module Networks
By Seung Wook Kim, Makarand Tapaswi, Sanja Fidler

 

Three Mechanisms of Weight Decay Regularization
By Guodong Zhang, Chaoqi Wang, Bowen Xu, Roger Grosse

 

LanczosNet: Multi-Scale Deep Graph Convolutional Networks
By Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard Zemel

 

Excessive Invariance Causes Adversarial Vulnerability
By Joern-Henrik Jacobsen, Jens Behrmann, Richard Zemel, Matthias Bethge

 

Neural Graph Evolution: Automatic Robot Design
By Tingwu Wang, Yuhao Zhou, Sanja Fidler, Jimmy Ba

 

DOM-Q-NET: Grounded RL on Structured Language
By Sheng Jia, Jamie Ryan Kiros, Jimmy Ba

 

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
By Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse

 

Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
By Marc T Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S Zemel

 

Aggregated Momentum: Stability Through Passive Damping
By James Lucas, Shengyang Sun, Richard Zemel, Roger Grosse

 

Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
By Matthew Mackay, Paul Vicol, Jonathan Lorraine, David Duvenaud, Roger Grosse

 

Graph HyperNetworks for Neural Architecture Search
By Chris Zhang, Mengye Ren, Raquel Urtasun

 

Functional Variational Bayesian Neural Networks
By Shenyang Sun, Guodong Zhang, Jiaxin Xi, Roger Grosse.

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