Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning

19 April 2022

Liang Xie

Papers citing "Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning"

20 / 20 papers shown

Title
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
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features Tina Behnia Christos Thrampoulidis SSL 33 0 0 29 Feb 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 22 8 0 24 Oct 2023
Generalized Neural Collapse for a Large Number of Classes Jiachen Jiang Jinxin Zhou Peng Wang Qing Qu Dustin Mixon Chong You Zhihui Zhu AI4CE 32 23 0 09 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning Timothy Chu Zhao-quan Song Chiwun Yang 24 15 0 05 Oct 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem 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
Neural Collapse Inspired Federated Learning with Non-iid Data Chenxi Huang Liang Xie Yibo Yang Wenxiao Wang Binbin Lin D. Cai FedML 24 3 0 27 Mar 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 41 54 0 17 Mar 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Xiangtai Li Zhouchen Lin Philip H. S. Torr Dacheng Tao CLL 32 96 0 06 Feb 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 129 45 0 03 Jan 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 23 18 0 23 Dec 2022
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning Shuo Xie Jiahao Qiu Ankita Pasad Li Du Qing Qu Hongyuan Mei 32 16 0 18 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 15 41 0 19 Sep 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 127 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 124 165 0 29 Jan 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 549 0 21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 241 457 0 11 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 250 782 0 05 Dec 2019
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 234 446 0 28 Nov 2016