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

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

10 December 2020
E. Weinan
Stephan Wojtowytsch
ArXivPDFHTML

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

12 / 12 papers shown
Title
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
George Andriopoulos
Soyuj Jung Basnet
Juan Guevara
Li Guo
Keith Ross
30
0
0
14 May 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
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
Control-oriented Clustering of Visual Latent Representation
Han Qi
Haocheng Yin
Heng Yang
SSL
55
2
0
07 Oct 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models
Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu
Vardan Papyan
48
12
0
28 May 2024
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
Li Guo
Keith Ross
Zifan Zhao
George Andriopoulos
Shuyang Ling
Yufeng Xu
Zixuan Dong
UQCV
NoLa
30
9
0
06 Feb 2024
Generalized Neural Collapse for a Large Number of Classes
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang
Jinxin Zhou
Peng Wang
Qing Qu
Dustin Mixon
Chong You
Zhihui Zhu
AI4CE
34
24
0
09 Oct 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang
Haobo Yuan
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
31
8
0
03 Aug 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural
  Networks
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
Vignesh Kothapalli
Tom Tirer
Joan Bruna
38
11
0
04 Jul 2023
Perturbation Analysis of Neural Collapse
Perturbation Analysis of Neural Collapse
Tom Tirer
Haoxiang Huang
Jonathan Niles-Weed
AAML
40
24
0
29 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the
  Riemannian Manifold
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
Can Yaras
Peng Wang
Zhihui Zhu
Laura Balzano
Qing Qu
25
42
0
19 Sep 2022
Improving Self-Supervised Learning by Characterizing Idealized
  Representations
Improving Self-Supervised Learning by Characterizing Idealized Representations
Yann Dubois
Tatsunori Hashimoto
Stefano Ermon
Percy Liang
SSL
83
40
0
13 Sep 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
25
74
0
08 Jun 2022
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