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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