A Comprehensive Empirical Evaluation on Online Continual Learning

A Comprehensive Empirical Evaluation on Online Continual Learning

20 August 2023

Albin Soutif--Cormerais

Vincenzo Lomonaco

Joost van de Weijer

Papers citing "A Comprehensive Empirical Evaluation on Online Continual Learning"

18 / 18 papers shown

Title
Parameter-Efficient Continual Fine-Tuning: A Survey Eric Nuertey Coleman Luigi Quarantiello Ziyue Liu Qinwen Yang Samrat Mukherjee J. Hurtado Vincenzo Lomonaco CLL 27 0 0 18 Apr 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 40 0 0 13 Mar 2025
PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning Zelin Tao Hao Deng Mingqing Liu Lijun Zhang Shengjie Zhao CLL 60 0 0 25 Feb 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang-Cuong Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 71 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 63 0 0 03 Feb 2025
How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning Giuseppe Serra Ben Werner Florian Buettner 27 1 0 10 Jul 2024
The impact of model size on catastrophic forgetting in Online Continual Learning Eunhae Lee CLL 21 0 0 28 Jun 2024
Federated Continual Learning Goes Online: Leveraging Uncertainty for Modality-Agnostic Class-Incremental Learning Giuseppe Serra Florian Buettner CLL FedML 26 0 0 29 May 2024
Fairness Evolution in Continual Learning for Medical Imaging Marina Ceccon Davide Dalle Pezze Alessandro Fabris Gian Antonio Susto OOD 19 1 0 10 Apr 2024
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation Hongwei Yan Liyuan Wang Kaisheng Ma Yi Zhong CLL 27 3 0 30 Mar 2024
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais J. Weijer Andrew D. Bagdanov 21 18 0 06 Feb 2024
Sample Weight Estimation Using Meta-Updates for Online Continual Learning Hamed Hemati Damian Borth 21 0 0 29 Jan 2024
Implicit biases in multitask and continual learning from a backward error analysis perspective Benoit Dherin 18 3 0 01 Nov 2023
Prediction Error-based Classification for Class-Incremental Learning Michal Zajkac Tinne Tuytelaars Gido M. van de Ven CLL 8 8 0 30 May 2023
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights Kamil Faber Roberto Corizzo B. Sniezynski Nathalie Japkowicz 11 8 0 14 Mar 2023
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal Yaqian Zhang Bernhard Pfahringer E. Frank Albert Bifet N. Lim Yunzhe Jia CLL 88 40 0 28 Sep 2022
Continual evaluation for lifelong learning: Identifying the stability gap Matthias De Lange Gido M. van de Ven Tinne Tuytelaars CLL 83 40 0 26 May 2022
Representational Continuity for Unsupervised Continual Learning Divyam Madaan Jaehong Yoon Yuanchun Li Yunxin Liu Sung Ju Hwang CLL SSL 45 110 0 13 Oct 2021