9 citations · 26 across the 11 of their papers we have counts for
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cs.LG2023★ 2 cited
The Law of Parsimony in Gradient Descent for Learning Deep Linear Networks
Can Yaras, Peng Wang, Wei Hu +3
Over the past few years, an extensively studied phenomenon in training deep networks is the implicit bias of gradient descent towards parsimonious solutions. In this work, we inves…
cs.LG2023★ 1 cited
Maximizing Model Generalization for Machine Condition Monitoring with Self-Supervised Learning and Federated Learning
Matthew Russell, Peng Wang
Deep Learning (DL) can diagnose faults and assess machine health from raw condition monitoring data without manually designed statistical features. However, practical manufacturing…