AI RESEARCH
Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
arXiv CS.CV
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ArXi:2509.08469v2 Announce Type: replace Contrastive self supervised learning(CSSL) usually makes use of the multi-view assumption which states that all relevant information must be shared between all views. The main objective of CSSL is to maximize the mutual information(MI) between representations of different views and at the same time compress irrelevant information in each representation.