4 citations · 7 across the 13 of their papers we have counts for
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cs.LG2023★ 4 cited
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
Jiexi Liu, Songcan Chen
Learning universal time series representations applicable to various types of downstream tasks is challenging but valuable in real applications. Recently, researchers have attempte…
math.OC2023★ 2 cited
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Feihu Huang, Chunyu Xuan, Xinrui Wang +2
Minimax optimization recently is widely applied in many machine learning tasks such as generative adversarial networks, robust learning and reinforcement learning. In the paper, we…