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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

3 August 2023
Yibo Yang
Haobo Yuan
Xiangtai Li
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip H. S. Torr
Dacheng Tao
Bernard Ghanem
    CLL
ArXivPDFHTML

Papers citing "Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants"

14 / 14 papers shown
Title
Guiding Neural Collapse: Optimising Towards the Nearest Simplex
  Equiangular Tight Frame
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame
Evan Markou
Thalaiyasingam Ajanthan
Stephen Gould
16
0
0
02 Nov 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online
  Continual Learning
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
Xinrui Wang
Chuanxing Geng
Wenhai Wan
Shao-yuan Li
Songcan Chen
CLL
27
2
0
28 Sep 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Bernard Ghanem
Liqiang Nie
Min Zhang
Mamba
36
5
0
08 Jul 2024
Towards Interpretable Deep Local Learning with Successive Gradient
  Reconciliation
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
Yibo Yang
Xiaojie Li
Motasem Alfarra
Hasan Hammoud
Adel Bibi
Philip H. S. Torr
Bernard Ghanem
30
2
0
07 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
S. Song
Jianlong Wu
Liqiang Nie
Bernard Ghanem
41
6
0
07 Jun 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models
Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu
V. Papyan
33
11
0
28 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning
  Perspective
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
Leyuan Wang
Liuyu Xiang
Yunlong Wang
Huijia Wu
Zhaofeng He
CLL
14
0
0
24 May 2024
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Zhisheng Zhong
Jiequan Cui
Yibo Yang
Xiaoyang Wu
Xiaojuan Qi
X. Zhang
Jiaya Jia
119
44
0
03 Jan 2023
Long-Tailed Class Incremental Learning
Long-Tailed Class Incremental Learning
Xialei Liu
Yu-Song Hu
Xuezhi Cao
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
60
35
0
01 Oct 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
114
65
0
06 Oct 2021
Distilling Causal Effect of Data in Class-Incremental Learning
Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu
Kaihua Tang
C. Miao
Xiansheng Hua
Hanwang Zhang
CML
163
174
0
02 Mar 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
112
162
0
29 Jan 2021
XtarNet: Learning to Extract Task-Adaptive Representation for
  Incremental Few-Shot Learning
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning
Sung Whan Yoon
Do-Yeon Kim
Jun Seo
Jaekyun Moon
CLL
168
46
0
19 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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