Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a
Learnable Classifier at the End of Deep Neural Network?

Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

17 March 2022

Papers citing "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?"

18 / 18 papers shown

Title
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model George Andriopoulos Soyuj Jung Basnet Juan Guevara Li Guo Keith Ross 30 0 0 14 May 2025
GIF: Generative Inspiration for Face Recognition at Scale Saeed Ebrahimi Sahar Rahimi Ali Dabouei Srinjoy Das Jeremy M. Dawson Nasser M. Nasrabadi CVBM 165 0 0 05 May 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 56 0 0 25 Apr 2025
Control-oriented Clustering of Visual Latent Representation Han Qi Haocheng Yin Heng Yang SSL 55 2 0 07 Oct 2024
Collapsed Language Models Promote Fairness Jingxuan Xu Wuyang Chen Linyi Li Yao Zhao Yunchao Wei 46 0 0 06 Oct 2024
SGW-based Multi-Task Learning in Vision Tasks Ruiyuan Zhang Yuyao Chen Yuchi Huo Jiaxiang Liu Dianbing Xi Jie Liu Chao Wu 28 0 0 03 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 41 0 0 26 Sep 2024
FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning Seongyoon Kim Minchan Jeong Sungnyun Kim Sungwoo Cho Sumyeong Ahn Se-Young Yun FedML 47 0 0 04 Jun 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu Vardan Papyan 48 12 0 28 May 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse Quinn Fisher Haoming Meng Vardan Papyan AAML UQCV 44 5 0 09 Feb 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 30 8 0 24 Oct 2023
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 28 3 0 12 Oct 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
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 17 1 0 13 Jun 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 35 10 0 10 Mar 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 41 22 0 29 Dec 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 135 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 130 167 0 29 Jan 2021