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cs.LG2023★ 1 cited
A Simplified Framework for Contrastive Learning for Node Representations
Ilgee Hong, Huy Tran, Claire Donnat
Contrastive learning has recently established itself as a powerful self-supervised learning framework for extracting rich and versatile data representations. Broadly speaking, cont…
cs.LG2022
Is Multi-Task Learning an Upper Bound for Continual Learning?
Zihao Wu, Huy Tran, Hamed Pirsiavash +1
Continual and multi-task learning are common machine learning approaches to learning from multiple tasks. The existing works in the literature often assume multi-task learning as a…