49 citations · 80 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 26 cited
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu, Milan Mosse, Chengxu Zhuang +2
Recent methods for learning unsupervised visual representations, dubbed contrastive learning, optimize the noise-contrastive estimation (NCE) bound on mutual information between tw…
cs.LG2020★ 49 cited
On Mutual Information in Contrastive Learning for Visual Representations
Mike Wu, Chengxu Zhuang, Milan Mosse +2
In recent years, several unsupervised, "contrastive" learning algorithms in vision have been shown to learn representations that perform remarkably well on transfer tasks. We show…
cs.LG2018★ 5 cited
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike Wu, Milan Mosse, Noah Goodman +1
In modern computer science education, massive open online courses (MOOCs) log thousands of hours of data about how students solve coding challenges. Being so rich in data, these pl…