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"

50 / 72 papers shown

Title
POET: Prompt Offset Tuning for Continual Human Action Adaptation Prachi Garg Joseph K J V. Balasubramanian Necati Cihan Camgöz Chengde Wan Kenrick Kin Weiguang Si Shugao Ma Fernando De la Torre 51 0 0 25 Apr 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration Jiani Ni He Zhao Jintong Gao Dandan Guo H. Zha 24 0 0 14 Apr 2025
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning Kyle Stein A. Mahyari Guillermo Francia III Eman El-Sheikh CLL 58 0 0 11 Apr 2025
Diffusion Meets Few-shot Class Incremental Learning Junsu Kim Yunhoe Ku Dongyoon Han Seungryul Baek DiffM CLL 37 0 0 30 Mar 2025
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning Jizhou Han Chenhao Ding Yuhang He Songlin Dong Qiang Wang Xinyuan Gao Yihong Gong CLL 49 0 0 27 Mar 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound Shiwon Kim Dongjun Hwang Sungwon Woo Rita Singh CLL 52 0 0 13 Mar 2025
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy Roman Malashin Valeria Yachnaya Alexander Mullin 31 1 0 17 Feb 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning M. A. Ma'sum Mahardhika Pratama Igor Skrjanc CLL 41 0 0 12 Feb 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning Parinita Nema V. Kurmi CLL 56 0 0 17 Jan 2025
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning Zhongyi Zhou Yaxin Peng Pin Yi Minjie Zhu Chaomin Shen 38 0 0 04 Jan 2025
BatStyler: Advancing Multi-category Style Generation for Source-free Domain Generalization Xiusheng Xu Lei Qi Jingyang Zhou Xin Geng TTA 46 0 0 03 Jan 2025
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Chengyan Liu Linglan Zhao Fan Lyu Kaile Du Fuyuan Hu Tao Zhou CLL 71 0 0 17 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning Pengfei Fang Yongchun Qin H. Xue CLL 65 0 0 15 Dec 2024
Covariance-based Space Regularization for Few-shot Class Incremental Learning Yijie Hu Guanyu Yang Zhaorui Tan Xiaowei Huang K. Huang Qiu-Feng Wang CLL 25 0 0 02 Nov 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 21 3 0 08 Oct 2024
Knowledge Adaptation Network for Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 24 1 0 18 Sep 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 25 0 0 18 Sep 2024
Towards Few-Shot Learning in the Open World: A Review and Beyond Hui Xue Yuexuan An Yongchun Qin Wenqian Li Yixin Wu Yongjuan Che Pengfei Fang Minling Zhang OffRL 44 0 0 19 Aug 2024
EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles Zicheng Pan Xiaohan Yu Yongsheng Gao 25 0 0 23 Jul 2024
Adaptive Parametric Activation Konstantinos Panagiotis Alexandridis Jiankang Deng Anh Nguyen Shan Luo 20 2 0 11 Jul 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself Yu-Ming Tang Yi-Xing Peng Jingke Meng Wei-Shi Zheng CLL 24 0 0 10 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning Xiaojie Li Yibo Yang Jianlong Wu Bernard Ghanem Liqiang Nie Min Zhang Mamba 36 5 0 08 Jul 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation Yibo Yang Xiaojie Li Motasem Alfarra Hasan Hammoud Adel Bibi Philip H. S. Torr Bernard Ghanem 30 2 0 07 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang Xiaojie Li Zhongzhu Zhou S. Song Jianlong Wu Liqiang Nie Bernard Ghanem 43 6 0 07 Jun 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 30 0 0 04 Jun 2024
Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification M. A. Ma'sum Mahardhika Pratama Ramasamy Savitha Lin Liu Habibullah Habibullah Ryszard Kowalczyk CLL 33 2 0 04 Jun 2024
Compositional Few-Shot Class-Incremental Learning Yixiong Zou Shanghang Zhang Haichen Zhou Yuhua Li Ruixuan Li CLL 25 6 0 27 May 2024
Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation Jihwan Kwak Sungmin Cha Taesup Moon CLL 29 0 0 16 May 2024
Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse Yining Wang Junjie Sun Chenyue Wang Mi Zhang Min Yang 19 5 0 09 May 2024
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning Haichen Zhou Yixiong Zou Ruixuan Li Yuhua Li Kui Xiao 24 1 0 08 May 2024
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers Dipam Goswami Bartlomiej Twardowski J. Weijer 42 4 0 09 Apr 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners Keon-Hee Park Kyungwoo Song Gyeong-Moon Park VLM CLL 16 16 0 02 Apr 2024
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning Noor Ahmed Anna Kukleva Bernt Schiele CLL 17 12 0 27 Mar 2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment Mohammad Saeed Ebrahimi Saadabadi Ali Dabouei Sahar Rahimi Malakshan Nasser M. Nasrabadi 16 3 0 25 Mar 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning Jianqing Zhang Yang Janet Liu Yang Hua Jian Cao 70 11 0 23 Mar 2024
A Bag of Tricks for Few-Shot Class-Incremental Learning Shuvendu Roy Chunjong Park Aldi Fahrezi Ali Etemad CLL 28 1 0 21 Mar 2024
NTK-Guided Few-Shot Class Incremental Learning Jingren Liu Zhong Ji Yanwei Pang Yunlong Yu CLL 27 3 0 19 Mar 2024
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning Yoga Esa Wibowo Cristian Cioflan T. Ingolfsson Michael Hersche Leo Zhao Abbas Rahimi Luca Benini CLL 32 1 0 12 Mar 2024
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning Biqing Qi Junqi Gao Xingquan Chen Dong Li Jianxing Liu Ligang Wu Bowen Zhou CLL 24 4 0 07 Mar 2024
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains Hafiz Tiomoko Ali Umberto Michieli J. Moon Daehyun Kim Mete Ozay AAML 22 1 0 28 Feb 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models Didi Zhu Zhongyi Sun Zexi Li Tao Shen Ke Yan Shouhong Ding Kun Kuang Chao Wu CLL KELM MoMe 39 22 0 19 Feb 2024
Bias Mitigating Few-Shot Class-Incremental Learning Li-Jun Zhao Zhen-Duo Chen Ziya Zhang Xin Luo Xin-Shun Xu CLL 24 1 0 01 Feb 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning Songsong Tian Lusi Li Weijun Li Hang Ran Li Li X. Ning CLL VLM 29 3 0 26 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Joey Tianyi Zhou Howard H. Yang Zuo-Qiang Liu FedML 33 6 0 17 Jan 2024
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector Jiawei Zhang Yufan Chen Cheng Jin Lei Zhu Yuantao Gu OODD UQCV AAML 18 6 0 03 Jan 2024
Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning Zitong Huang Ze Chen Zhixing Chen Erjin Zhou Xinxing Xu Rick Siow Mong Goh Yong-Jin Liu Wangmeng Zuo Chun-Mei Feng CLL VLM BDL 21 8 0 03 Jan 2024
Continual Learning: Forget-free Winning Subnetworks for Video Representations Haeyong Kang Jaehong Yoon Sung Ju Hwang Chang D. Yoo CLL 17 2 0 19 Dec 2023
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy Everton L. Aleixo J. Colonna Marco Cristo Everlandio Fernandes CLL 39 19 0 16 Dec 2023
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 8 6 0 24 Oct 2023
FloCoDe: Unbiased Dynamic Scene Graph Generation with Temporal Consistency and Correlation Debiasing Anant Khandelwal 17 2 0 24 Oct 2023