Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima

30 October 2021

Xiao-Ming Wu

Papers citing "Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima"

21 / 21 papers shown

Title
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning Renye Zhang Yimin Yin Jinghua Zhang CLL 50 0 0 29 Apr 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
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 97 0 0 15 Dec 2024
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 48 2 0 23 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 34 3 0 08 Oct 2024
Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation Riyansha Singh Parinita Nema V. Kurmi CLL 17 1 0 27 Jul 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Marcus Klasson Arno Solin 41 0 0 11 Apr 2024
NTK-Guided Few-Shot Class Incremental Learning Jingren Liu Zhong Ji Yanwei Pang Yunlong Yu CLL 34 3 0 19 Mar 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 34 3 0 26 Jan 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 37 2 0 12 Jan 2024
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 27 8 0 03 Aug 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 29 1 0 19 Jun 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning Hao Chen Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 26 0 0 24 Mar 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 15 7 0 12 Feb 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 26 96 0 06 Feb 2023
Sample-Efficient Unsupervised Domain Adaptation of Speech Recognition Systems A case study for Modern Greek Georgios Paraskevopoulos Theodoros Kouzelis Georgios Rouvalis Athanasios Katsamanis V. Katsouros Alexandros Potamianos VLM 18 7 0 31 Dec 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 19 122 0 26 May 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini A. Sebastian Abbas Rahimi CLL 24 141 0 30 Mar 2022
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 174 175 0 02 Mar 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 629 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017