Zobrazeno 1 - 3
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pro vyhledávání: '"Shao, Huiyang"'
Autor:
Gao, Peifeng, Xu, Qianqian, Yang, Yibo, Wen, Peisong, Shao, Huiyang, Yang, Zhiyong, Ghanem, Bernard, Huang, Qingming
Neural Collapse (NC) is a well-known phenomenon of deep neural networks in the terminal phase of training (TPT). It is characterized by the collapse of features and classifier into a symmetrical structure, known as simplex equiangular tight frame (ET
Externí odkaz:
http://arxiv.org/abs/2310.08358
In this paper, we extend original Neural Collapse Phenomenon by proving Generalized Neural Collapse hypothesis. We obtain Grassmannian Frame structure from the optimization and generalization of classification. This structure maximally separates feat
Externí odkaz:
http://arxiv.org/abs/2304.08914
The Partial Area Under the ROC Curve (PAUC), typically including One-way Partial AUC (OPAUC) and Two-way Partial AUC (TPAUC), measures the average performance of a binary classifier within a specific false positive rate and/or true positive rate inte
Externí odkaz:
http://arxiv.org/abs/2210.03967