Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental
Learning

Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning

6 February 2024

Simone Magistri

Albin Soutif--Cormerais

Andrew D. Bagdanov

Papers citing "Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning"

15 / 15 papers shown

Title
Prototype Augmented Hypernetworks for Continual Learning Neil De La Fuente Maria Pilligua Daniel Vidal Albin Soutiff Cecilia Curreli Daniel Cremers Andrey Barsky CLL 29 0 0 12 May 2025
Gradient-free Continual Learning Grzegorz Rypeść CLL 41 0 0 01 Apr 2025
Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution Haori Lu Xusheng Cao Linlan Huang Enguang Wang Fei Yang Xialei Liu CLL 47 0 0 21 Mar 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais J. Weijer Andrew D. Bagdanov 45 0 0 13 Mar 2025
Position: Continual Learning Benefits from An Evolving Population over An Unified Model Aojun Lu Junchao Ke Chunhui Ding Jiahao Fan Yanan Sun CLL 74 0 0 10 Feb 2025
$Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning$ Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning Edoardo Urettini Antonio Carta 73 0 0 03 Feb 2025
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models Tomaso Trinci Simone Magistri Roberto Verdecchia Andrew D. Bagdanov CLL 38 0 0 27 Sep 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning Grzegorz Rype'sć Sebastian Cygert Tomasz Trzciñski Bartłomiej Twardowski 40 4 0 26 Sep 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective Jingren Liu Zhong Ji Yunlong Yu Jiale Cao Yanwei Pang Jungong Han X. Li CLL 42 3 0 24 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator Thinh Nguyen Khoa D. Doan Binh T. Nguyen Danh Le-Phuoc Kok-Seng Wong FedML 43 0 0 13 Jul 2024
Exemplar-free Continual Representation Learning via Learnable Drift Compensation Alex Gomez-Villa Dipam Goswami Kai Wang Andrew D. Bagdanov Bartlomiej Twardowski Joost van de Weijer CLL SSL 36 9 0 11 Jul 2024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates Albin Soutif--Cormerais Simone Magistri J. Weijer Andew D. Bagdanov 37 1 0 28 May 2024
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning A. Panos Yuriko Kobe Daniel Olmeda Reino Rahaf Aljundi Richard Turner CLL 103 42 0 23 Mar 2023
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 25 73 0 23 Sep 2021
Model-centric Data Manifold: the Data Through the Eyes of the Model Luca Grementieri R. Fioresi 53 9 0 26 Apr 2021