AI RESEARCH
Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery
arXiv CS.LG
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ArXi:2605.08183v1 Announce Type: cross Generalized Category Discovery (GCD) seeks to identify novel categories from unlabeled data while retaining the classification ability of seen categories. Prior GCD methods commonly leverage transferable representations from pre-trained models, adapting to downstream datasets via partial fine-tuning (updating only the final ViT block) and visual prompt tuning (appending learnable vectors to inputs