Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning

6 February 2023

Papers citing "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning"

22 / 72 papers shown

Title
It's an Alignment, Not a Trade-off: Revisiting Bias and Variance in Deep Models Lin Chen Michal Lukasik Wittawat Jitkrittum Chong You Sanjiv Kumar 24 2 0 13 Oct 2023
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges Peifeng Gao Qianqian Xu Yibo Yang Peisong Wen Huiyang Shao Zhiyong Yang Bernard Ghanem Qingming Huang AAML 10 3 0 12 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 24 20 0 09 Oct 2023
Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning Hoyong Kim M. Kwon Kangil Kim CLL 11 0 0 26 Sep 2023
Investigating the Catastrophic Forgetting in Multimodal Large Language Models Yuexiang Zhai Shengbang Tong Xiao Li Mu Cai Qing Qu Yong Jae Lee Y. Ma VLM MLLM CLL 72 75 0 19 Sep 2023
Big-model Driven Few-shot Continual Learning Ziqi Gu Chunyan Xu Zihan Lu Xin Liu Anbo Dai Zhen Cui CLL 22 1 0 02 Sep 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 22 8 0 03 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 45 0 16 Jul 2023
Understanding Prompt Tuning for V-L Models Through the Lens of Neural Collapse Didi Zhu Zexi Li Min Zhang Junkun Yuan Yunfeng Shao Jiashuo Liu Kun Kuang Yinchuan Li Chao Wu VLM 8 1 0 28 Jun 2023
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 26 4 0 06 Jun 2023
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and Generalization Peifeng Gao Qianqian Xu Peisong Wen Huiyang Shao Zhiyong Yang Qingming Huang 10 6 0 18 Apr 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran X. Ning Prayag Tiwari CLL 19 99 0 17 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 14 0 0 08 Apr 2023
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning Wen-Qiang Qiu Sichao Fu Jingyi Zhang Chengxiang Lei Qinmu Peng 17 11 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 34 54 0 17 Mar 2023
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection Jiawei Ma Yulei Niu Jincheng Xu Shiyuan Huang G. Han Shih-Fu Chang ObjD 11 36 0 16 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
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
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 20 73 0 23 Sep 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
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 168 46 0 19 Mar 2020
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014