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cs.LG2024
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Jiyong Li, Dilshod Azizov, Yang Li +1
Recently, because of the high-quality representations of contrastive learning methods, rehearsal-based contrastive continual learning has been proposed to explore how to continuall…
cs.LG2022★ 1 cited
GraphTTA: Test Time Adaptation on Graph Neural Networks
Guanzi Chen, Jiying Zhang, Xi Xiao +1
Recently, test time adaptation (TTA) has attracted increasing attention due to its power of handling the distribution shift issue in the real world. Unlike what has been developed…