42 citations · 69 across the 6 of their papers we have counts for
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cs.LG2021★ 1 cited
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning
Hoifung Poon, Hai Wang, Hunter Lang
Deep learning has proven effective for various application tasks, but its applicability is limited by the reliance on annotated examples. Self-supervised learning has emerged as a…
cs.LG2020
Self-supervised self-supervision by combining deep learning and probabilistic logic
Hunter Lang, Hoifung Poon
Labeling training examples at scale is a perennial challenge in machine learning. Self-supervision methods compensate for the lack of direct supervision by leveraging prior knowled…
cs.LG2019★ 42 cited
Understanding the Role of Momentum in Stochastic Gradient Methods
Igor Gitman, Hunter Lang, Pengchuan Zhang +1
The use of momentum in stochastic gradient methods has become a widespread practice in machine learning. Different variants of momentum, including heavy-ball momentum, Nesterov's a…