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Inducing Neural Collapse in Deep Long-tailed Learning

Inducing Neural Collapse in Deep Long-tailed Learning

24 February 2023
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Yuan Yao
ArXiv (abs)PDFHTML

Papers citing "Inducing Neural Collapse in Deep Long-tailed Learning"

22 / 22 papers shown
Title
Aligned Contrastive Loss for Long-Tailed Recognition
Aligned Contrastive Loss for Long-Tailed Recognition
Jiali Ma
Jiequan Cui
Maeno Kazuki
Lakshmi Subramanian
Karlekar Jayashree
Sugiri Pranata
Hanwang Zhang
27
0
0
01 Jun 2025
Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
Peter Súkeník
Christoph H. Lampert
Marco Mondelli
77
0
0
21 May 2025
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
Prior2Posterior: Model Prior Correction for Long-Tailed Learning
S Divakar Bhat
Amit More
Mudit Soni
Surbhi Agrawal
123
0
0
21 Dec 2024
Understanding Representation of Deep Equilibrium Models from Neural
  Collapse Perspective
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective
Haixiang Sun
Ye Shi
96
0
0
30 Oct 2024
The Fair Language Model Paradox
The Fair Language Model Paradox
Andrea Pinto
Tomer Galanti
Randall Balestriero
87
1
0
15 Oct 2024
Fractal Calibration for long-tailed object detection
Fractal Calibration for long-tailed object detection
Konstantinos Panagiotis Alexandridis
Ismail Elezi
Jiankang Deng
Anh H. Nguyen
Shan Luo
473
0
0
15 Oct 2024
Control-oriented Clustering of Visual Latent Representation
Control-oriented Clustering of Visual Latent Representation
Han Qi
Haocheng Yin
Heng Yang
SSL
141
2
0
07 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
Naoya Hasegawa
Issei Sato
122
0
0
26 Sep 2024
All-around Neural Collapse for Imbalanced Classification
All-around Neural Collapse for Imbalanced Classification
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
AI4CE
98
1
0
14 Aug 2024
Generalization Beyond Data Imbalance: A Controlled Study on CLIP for
  Transferable Insights
Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights
Xin Wen
Bingchen Zhao
Yilun Chen
Jiangmiao Pang
Xiaojuan Qi
111
4
0
31 May 2024
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing
  Optimized Kernel Dependence
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian
Feng Liu
Tongliang Liu
Bo Du
Yiu-ming Cheung
Bo Han
72
1
0
29 May 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models
Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu
Vardan Papyan
97
16
0
28 May 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer
  Learning
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning
Michael Munn
Benoit Dherin
Javier Gonzalvo
AAML
75
2
0
24 May 2024
Progressive Feedforward Collapse of ResNet Training
Progressive Feedforward Collapse of ResNet Training
Sicong Wang
Kuo Gai
Shihua Zhang
AI4CE
76
7
0
02 May 2024
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
Li Guo
George Andriopoulos
Zifan Zhao
Shuyang Ling
Shuyang Ling
Keith Ross
UQCVNoLa
82
9
0
06 Feb 2024
Neural Collapse for Cross-entropy Class-Imbalanced Learning with
  Unconstrained ReLU Feature Model
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model
Hien Dang
Tho Tran
Tan Minh Nguyen
Nhat Ho
77
14
0
04 Jan 2024
Towards Demystifying the Generalization Behaviors When Neural Collapse
  Emerges
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges
Peifeng Gao
Qianqian Xu
Yibo Yang
Peisong Wen
Huiyang Shao
Zhiyong Yang
Guohao Li
Qingming Huang
AAML
78
3
0
12 Oct 2023
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
82
28
0
09 Oct 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive
  Loss: The Impact of ReLU and Batching
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
Jaidev Gill
Christos Thrampoulidis
70
2
0
13 Jun 2023
Exploring Weight Balancing on Long-Tailed Recognition Problem
Exploring Weight Balancing on Long-Tailed Recognition Problem
Naoya Hasegawa
Issei Sato
127
7
0
26 May 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing
  Mistake Severity
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity
Tong Liang
Jim Davis
111
11
0
10 Mar 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
108
23
0
29 Dec 2022
1