On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers

10 December 2020

Papers citing "On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers"

9 / 9 papers shown

Title
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 56 0 0 25 Apr 2025
Control-oriented Clustering of Visual Latent Representation Han Qi Haocheng Yin Heng Yang SSL 50 2 0 07 Oct 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu V. Papyan 46 12 0 28 May 2024
Generalized Neural Collapse for a Large Number of Classes Jiachen Jiang Jinxin Zhou Peng Wang Qing Qu Dustin Mixon Chong You Zhihui Zhu AI4CE 32 23 0 09 Oct 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem CLL 31 8 0 03 Aug 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 34 10 0 04 Jul 2023
Perturbation Analysis of Neural Collapse Tom Tirer Haoxiang Huang Jonathan Niles-Weed AAML 30 23 0 29 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 15 41 0 19 Sep 2022
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 21 71 0 08 Jun 2022