A Cookbook for Machine Learning: Vol 1 · November 16th, 2017

Gaussian Distributions are Soap Bubbles · November 9th, 2017

mixup: Data-Dependent Data Augmentation · November 2nd, 2017

AlphaGo Zero: Minimal Policy Improvement, Expectation Propagation and other Connections · October 26th, 2017

GANs are Broken in More than One Way: The Numerics of GANs · October 5th, 2017

From Instance Noise to Gradient Regularisation · June 1st, 2017

Everything that Works Works Because it's Bayesian: Why Deep Nets Generalize? · May 25th, 2017

Exemplar CNNs and Information Maximization · May 11th, 2017

Is Maximum Likelihood Useful for Representation Learning? · May 4th, 2017

Unsupervised Learning by Predicting Noise: an Information Maximization View · April 21st, 2017