Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model

22 May 2023

Papers citing "Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model"

9 / 9 papers shown

Title
Hamiltonian Mechanics of Feature Learning: Bottleneck Structure in Leaky ResNets Arthur Jacot Alexandre Kaiser 31 0 0 27 May 2024
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 30 10 0 10 Mar 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 124 44 0 03 Jan 2023
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data Hien Dang Tho Tran T. Nguyen Hung The Tran Nhat Ho Hung Tran 32 27 0 01 Jan 2023
Perturbation Analysis of Neural Collapse Tom Tirer Haoxiang Huang Jonathan Niles-Weed AAML 30 23 0 29 Oct 2022
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks J. Haas William Yolland B. Rabus OODD 41 14 0 17 Sep 2022
Nearest Class-Center Simplification through Intermediate Layers Ido Ben-Shaul S. Dekel 35 26 0 21 Jan 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 117 162 0 29 Jan 2021