Generalized Neural Collapse for a Large Number of Classes

9 October 2023

Qing Qu

Papers citing "Generalized Neural Collapse for a Large Number of Classes"

20 / 20 papers shown

Title
DualCP: Rehearsal-Free Domain-Incremental Learning via Dual-Level Concept Prototype Qiang Wang Yuhang He Songlin Dong Xiang Song Jizhou Han Haoyu Luo Yihong Gong CLL 62 0 0 23 Mar 2025
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun Ye Shi 21 0 0 30 Oct 2024
The Persistence of Neural Collapse Despite Low-Rank Bias: An Analytic Perspective Through Unconstrained Features Connall Garrod Jonathan P. Keating 34 1 0 30 Oct 2024
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse Arthur Jacot Peter Súkeník Zihan Wang Marco Mondelli 26 1 0 07 Oct 2024
Control-oriented Clustering of Visual Latent Representation Han Qi Haocheng Yin Heng Yang SSL 50 2 0 07 Oct 2024
Cell-ontology guided transcriptome foundation model Xinyu Yuan Zhihao Zhan Zuobai Zhang Manqi Zhou Jianan Zhao Boyu Han Yue Li Jian Tang 35 1 0 22 Aug 2024
All-around Neural Collapse for Imbalanced Classification Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen AI4CE 21 0 0 14 Aug 2024
A Global Geometric Analysis of Maximal Coding Rate Reduction Peng Wang Huikang Liu Druv Pai Yaodong Yu Zhihui Zhu Q. Qu Yi-An Ma 27 6 0 04 Jun 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu V. Papyan 33 11 0 28 May 2024
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal? Peter Súkeník Marco Mondelli Christoph H. Lampert AI4CE 30 5 0 23 May 2024
Task structure and nonlinearity jointly determine learned representational geometry Matteo Alleman Jack W. Lindsey Stefano Fusi 28 8 0 24 Jan 2024
Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics Soo Min Kwon Zekai Zhang Dogyoon Song Laura Balzano Qing Qu 27 2 0 08 Nov 2023
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 8 6 0 24 Oct 2023
Mini-Batch Optimization of Contrastive Loss Jaewoong Cho Kartik K. Sreenivasan Keon Lee Kyunghoo Mun Soheun Yi Jeong-Gwan Lee Anna Lee Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee SSL 30 7 0 12 Jul 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 16 18 0 23 Dec 2022
Perturbation Analysis of Neural Collapse Tom Tirer Haoxiang Huang Jonathan Niles-Weed AAML 27 23 0 29 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 30 11 0 11 Oct 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 122 83 0 06 Oct 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 114 162 0 29 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 235 3,029 0 09 Mar 2020