FeCAM: Exploiting the Heterogeneity of Class Distributions in
Exemplar-Free Continual Learning

FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning

25 September 2023

Bartlomiej Twardowski

Joost van de Weijer

Papers citing "FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning"

12 / 12 papers shown

Title
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 86 0 0 23 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification Kamil Książek Hubert Jastrzębski Bartosz Trojan Krzysztof Pniaczek Michał Karp Jacek Tabor CLL 74 0 0 18 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping Guannan Lai Yujie Li Xiangkun Wang J. Zhang Tianrui Li Xin Yang CLL 39 0 0 27 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition George Karantaidis Athanasios Pantsios Y. Kompatsiaris Symeon Papadopoulos CLL 60 0 0 20 Jan 2025
Learning System Dynamics without Forgetting Xikun Zhang Dongjin Song Yushan Jiang Yixin Chen Dacheng Tao AI4CE 35 2 0 30 Jun 2024
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Nader Asadi Mohammad Davar Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL 27 34 0 26 Mar 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard E. Turner CLL 93 42 0 23 Mar 2023
Unveiling the Tapestry: the Interplay of Generalization and Forgetting in Continual Learning Zenglin Shi Jing Jie Ying Sun J. Lim Mengmi Zhang CLL 32 1 0 21 Nov 2022
Consistency is the key to further mitigating catastrophic forgetting in continual learning Prashant Bhat Bahram Zonooz Elahe Arani CLL 32 16 0 11 Jul 2022
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 162 676 0 22 Apr 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 202 316 0 16 Jan 2021
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