"neural collapse" Papers
15 papers found
Conference
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Litian Liu, Yao Qin
CVPR 2025arXiv:2311.01479
22
citations
Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking
Ting Han, Linara Adilova, Henning Petzka et al.
NEURIPS 2025oralarXiv:2509.17738
3
citations
Formation of Representations in Neural Networks
Liu Ziyin, Isaac Chuang, Tomer Galanti et al.
ICLR 2025arXiv:2410.03006
12
citations
Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model
Chuang Ma, Tomoyuki Obuchi, Toshiyuki Tanaka
NEURIPS 2025arXiv:2506.05801
2
citations
Neural Collapse Inspired Knowledge Distillation
Shuoxi Zhang, Zijian Song, Kun He
AAAI 2025paperarXiv:2412.11788
1
citations
Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers
Peter Súkeník, Christoph Lampert, Marco Mondelli
NEURIPS 2025arXiv:2505.15239
4
citations
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu, Ruiji Yu, Xinwen Cheng et al.
ICLR 2025arXiv:2405.17816
7
citations
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse
Arthur Jacot, Peter Súkeník, Zihan Wang et al.
ICLR 2025arXiv:2410.04887
10
citations
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
Shanshan Yan, Zexi Li, Chao Wu et al.
ICCV 2025arXiv:2503.06916
2
citations
Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification
Jintong Gao, He Zhao, Dandan Guo et al.
ICML 2024
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang, Jinxin Zhou, Peng Wang et al.
ICML 2024arXiv:2310.05351
40
citations
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model
Hien Dang, Tho Tran Huu, Tan Nguyen et al.
ICML 2024arXiv:2401.02058
18
citations
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Pengyu Li, Xiao Li, Yutong Wang et al.
ICML 2024arXiv:2310.15903
12
citations
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning
Chendi Wang, Yuqing Zhu, Weijie Su et al.
ICML 2024arXiv:2405.08920
8
citations
Unveiling the Dynamics of Information Interplay in Supervised Learning
Kun Song, Zhiquan Tan, Bochao Zou et al.
ICML 2024arXiv:2406.03999
3
citations