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2012.08465
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Neural Collapse with Cross-Entropy Loss
15 December 2020
Jianfeng Lu
Stefan Steinerberger
MLT
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Papers citing
"Neural Collapse with Cross-Entropy Loss"
47 / 47 papers shown
SAMix: Calibrated and Accurate Continual Learning via Sphere-Adaptive Mixup and Neural Collapse
Trung-Anh Dang
Vincent Nguyen
Ngoc-Son Vu
Christel Vrain
CLL
AAML
165
0
0
17 Oct 2025
Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy Gradient
Zhongzhu Zhou
Yibo Yang
Ziyan Chen
Fengxiang Bie
Haojun Xia
Xiaoxia Wu
Robert Wu
Ben Athiwaratkun
Bernard Ghanem
Shuaiwen Leon Song
227
0
0
02 Sep 2025
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
International Conference on Learning Representations (ICLR), 2024
Naoya Hasegawa
Issei Sato
457
1
0
26 Sep 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu
Vardan Papyan
403
33
0
28 May 2024
Progressive Feedforward Collapse of ResNet Training
Sicong Wang
Kuo Gai
Shihua Zhang
AI4CE
302
9
0
02 May 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
Mohammad Saeed Ebrahimi Saadabadi
Ali Dabouei
Sahar Rahimi Malakshan
Nasser M. Nasrabadi
293
6
0
25 Mar 2024
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
Tina Behnia
Christos Thrampoulidis
SSL
306
2
0
29 Feb 2024
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains
Hafiz Tiomoko Ali
Umberto Michieli
J. Moon
Daehyun Kim
Mete Ozay
AAML
268
2
0
28 Feb 2024
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
Bradley T. Baker
Ba Pearlmutter
Robyn L. Miller
Vince D. Calhoun
Sergey Plis
AI4CE
344
4
0
09 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse
Quinn Fisher
Haoming Meng
Vardan Papyan
AAML
UQCV
319
7
0
09 Feb 2024
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Feature Model
International Conference on Machine Learning (ICML), 2024
Hien Dang
Tho Tran
Tan Minh Nguyen
Nhat Ho
442
18
0
04 Jan 2024
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Neural Information Processing Systems (NeurIPS), 2023
Siran Dai
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
417
5
0
06 Nov 2023
Generalized Neural Collapse for a Large Number of Classes
International Conference on Machine Learning (ICML), 2023
Jiachen Jiang
Jinxin Zhou
Peng Wang
Qing Qu
Dustin Mixon
Chong You
Zhihui Zhu
AI4CE
389
44
0
09 Oct 2023
An Investigation of Representation and Allocation Harms in Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Subha Maity
Mayank Agarwal
Mikhail Yurochkin
Yuekai Sun
429
2
0
02 Oct 2023
Neural Collapse in the Intermediate Hidden Layers of Classification Neural Networks
Liam Parker
Emre Onal
Anton Stengel
Jake Intrater
245
20
0
05 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Jianlong Wu
Haobo Yuan
Hefei Ling
Yue Yu
Lefei Zhang
Zhouchen Lin
Juil Sock
Dacheng Tao
Guohao Li
CLL
446
14
0
03 Aug 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
368
10
0
12 Jul 2023
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations
International Conference on Machine Learning (ICML), 2023
Yongyi Yang
Jacob Steinhardt
Wei Hu
316
12
0
29 Jun 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
International Conference on Learning Representations (ICLR), 2023
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
Jaidev Gill
Christos Thrampoulidis
472
4
0
13 Jun 2023
Exploring Simple, High Quality Out-of-Distribution Detection with L2 Normalization
J. Haas
William Yolland
B. Rabus
OODD
393
3
0
07 Jun 2023
Quantifying the Variability Collapse of Neural Networks
International Conference on Machine Learning (ICML), 2023
Jing-Xue Xu
Haoxiong Liu
381
10
0
06 Jun 2023
Exploring Weight Balancing on Long-Tailed Recognition Problem
International Conference on Learning Representations (ICLR), 2023
Naoya Hasegawa
Issei Sato
777
10
0
26 May 2023
Feature Collapse
T. Laurent
J. V. Brecht
Xavier Bresson
251
6
0
25 May 2023
Neural Collapse Inspired Federated Learning with Non-iid Data
Chenxi Huang
Liang Xie
Jianlong Wu
Wenxiao Wang
Binbin Lin
Xiaofei He
FedML
311
6
0
27 Mar 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Tina Behnia
Ganesh Ramachandra Kini
V. Vakilian
Christos Thrampoulidis
313
22
0
14 Mar 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
International Conference on Learning Representations (ICLR), 2023
Jianlong Wu
Haobo Yuan
Hefei Ling
Zhouchen Lin
Juil Sock
Dacheng Tao
CLL
363
162
0
06 Feb 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Computer Vision and Pattern Recognition (CVPR), 2023
Zhisheng Zhong
Jiequan Cui
Jianlong Wu
Xiaoyang Wu
Xiaojuan Qi
Xinming Zhang
Jiaya Jia
422
67
0
03 Jan 2023
Are All Losses Created Equal: A Neural Collapse Perspective
Neural Information Processing Systems (NeurIPS), 2022
Jinxin Zhou
Chong You
Xiao Li
Kangning Liu
Sheng Liu
Qing Qu
Zhihui Zhu
353
80
0
04 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
Neural Information Processing Systems (NeurIPS), 2022
Can Yaras
Peng Wang
Zhihui Zhu
Laura Balzano
Qing Qu
357
55
0
19 Sep 2022
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks
J. Haas
William Yolland
B. Rabus
OODD
327
24
0
17 Sep 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Neural Information Processing Systems (NeurIPS), 2022
Christos Thrampoulidis
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
316
89
0
10 Aug 2022
Memorization-Dilation: Modeling Neural Collapse Under Label Noise
Duc Anh Nguyen
Ron Levie
Julian Lienen
Gitta Kutyniok
Eyke Hüllermeier
318
2
0
11 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
429
105
0
08 Jun 2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning
Neurocomputing (Neurocomputing), 2022
Liang Xie
Jianlong Wu
Deng Cai
Xiaofei He
236
59
0
19 Apr 2022
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning
International Conference on Machine Learning (ICML), 2022
Mayee F. Chen
Daniel Y. Fu
A. Narayan
Michael Zhang
Zhao Song
Kayvon Fatahalian
Christopher Ré
SSL
336
58
0
15 Apr 2022
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Neural Information Processing Systems (NeurIPS), 2022
Jianlong Wu
Shixiang Chen
Hefei Ling
Liangru Xie
Zhouchen Lin
Dacheng Tao
483
118
0
17 Mar 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
International Conference on Machine Learning (ICML), 2022
Jinxin Zhou
Xiao Li
Tian Ding
Chong You
Qing Qu
Zhihui Zhu
483
121
0
02 Mar 2022
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks
Tomer Galanti
Liane Galanti
Ido Ben-Shaul
539
16
0
18 Feb 2022
Limitations of Neural Collapse for Understanding Generalization in Deep Learning
Like Hui
M. Belkin
Preetum Nakkiran
AI4CE
185
67
0
17 Feb 2022
Nearest Class-Center Simplification through Intermediate Layers
Ido Ben-Shaul
S. Dekel
312
29
0
21 Jan 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
576
99
0
06 Oct 2021
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
International Conference on Learning Representations (ICLR), 2021
X. Y. Han
Vardan Papyan
D. Donoho
AAML
542
176
0
03 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features
Neural Information Processing Systems (NeurIPS), 2021
Zhihui Zhu
Tianyu Ding
Jinxin Zhou
Xiao Li
Chong You
Jeremias Sulam
Qing Qu
358
251
0
06 May 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
Neural Information Processing Systems (NeurIPS), 2021
Ganesh Ramachandra Kini
Orestis Paraskevas
Samet Oymak
Christos Thrampoulidis
598
116
0
02 Mar 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2021
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
521
217
0
29 Jan 2021
On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers
Mathematical and Scientific Machine Learning (MSML), 2020
E. Weinan
Stephan Wojtowytsch
351
52
0
10 Dec 2020
From Symmetry to Geometry: Tractable Nonconvex Problems
Yuqian Zhang
Qing Qu
John N. Wright
443
48
0
14 Jul 2020
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