18 citations · 33 across the 6 of their papers we have counts for
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cs.LG2020
Contrastive learning, multi-view redundancy, and linear models
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
Self-supervised learning is an empirically successful approach to unsupervised learning based on creating artificial supervised learning problems. A popular self-supervised approac…
cs.NE2020★ 2 cited
Expressivity of expand-and-sparsify representations
Sanjoy Dasgupta, Christopher Tosh
A simple sparse coding mechanism appears in the sensory systems of several organisms: to a coarse approximation, an input is mapped to much higher dimension …
cs.LG2020★ 18 cited
Contrastive estimation reveals topic posterior information to linear models
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
Contrastive learning is an approach to representation learning that utilizes naturally occurring similar and dissimilar pairs of data points to find useful embeddings of data. In t…