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Haoyang Cheng

2 accepted papers

2023

Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning

ICCV 2023poster

Self-supervised learning has attracted a lot of attention recently, which is able to learn powerful representations without any manual annotations. However, self-supervised learning needs to develop the ability to continuously learn to cope with a variety of real-world challenges, i.e., Continual Se…

Cited by 6PDFScholar
2023

Optimizing Mode Connectivity for Class Incremental Learning

ICML 2023poster

Class incremental learning (CIL) is one of the most challenging scenarios in continual learning. Existing work mainly focuses on strategies like memory replay, regularization, or dynamic architecture but ignores a crucial aspect: mode connectivity. Recent studies have shown that different minima can…