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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
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment
Wei Dong, Dawei Yan, Peng Wang
Self-supervised node representation learning aims to learn node representations from unlabelled graphs that rival the supervised counterparts. The key towards learning informative…