Phil Bachman
YOU?
Author Swipe
View article: Decomposed Mutual Information Estimation for Contrastive Representation\n Learning
Decomposed Mutual Information Estimation for Contrastive Representation\n Learning Open
Recent contrastive representation learning methods rely on estimating mutual\ninformation (MI) between multiple views of an underlying context. E.g., we can\nderive multiple views of a given image by applying data augmentation, or we can\n…
View article: Learning deep representations by mutual information estimation and maximization
Learning deep representations by mutual information estimation and maximization Open
In this work, we perform unsupervised learning of representations by maximizing mutual information between an input and the output of a deep neural network encoder. Importantly, we show that structure matters: incorporating knowledge about…
View article: Learning deep representations by mutual information estimation and maximization
Learning deep representations by mutual information estimation and maximization Open
In this work, we perform unsupervised learning of representations by maximizing mutual information between an input and the output of a deep neural network encoder. Importantly, we show that structure matters: incorporating knowledge about…