"online continual learning" Papers

12 papers found

Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling

Minhyuk Seo, Hyunseo Koh, Jonghyun Choi

ICLR 2025arXiv:2410.15143
10
citations

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

Sihao Liu, Yibo Yang, Xiaojie Li et al.

CVPR 2025arXiv:2412.18177
4
citations

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints

Yuhao Zhou, Yuxin Tian, Jindi Lv et al.

CVPR 2025arXiv:2503.12053
2
citations

PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning

Muhammad Anwar Ma'sum, Mahardhika Pratama, Savitha Ramasamy et al.

ICCV 2025arXiv:2507.12305

Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation

Jiyong Li, Dilshod Azizov, Yang LI et al.

AAAI 2024paperarXiv:2403.04599
17
citations

Improving Plasticity in Online Continual Learning via Collaborative Learning

Maorong Wang, Nicolas Michel, Ling Xiao et al.

CVPR 2024arXiv:2312.00600
21
citations

Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning

Jinsoo Yoo, Yunpeng Liu, Frank Wood et al.

ICML 2024arXiv:2402.09542
9
citations

Learning Equi-angular Representations for Online Continual Learning

Minhyuk Seo, Hyunseo Koh, Wonje Jeung et al.

CVPR 2024arXiv:2404.01628
24
citations

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning

Nicolas Michel, Giovanni Chierchia, Romain Negrel et al.

AAAI 2024paperarXiv:2306.03364
14
citations

Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization

Yichen WU, Hong Wang, Peilin Zhao et al.

ICML 2024

Rethinking Momentum Knowledge Distillation in Online Continual Learning

Nicolas MICHEL, Maorong Wang, Ling Xiao et al.

ICML 2024arXiv:2309.02870
22
citations

Summarizing Stream Data for Memory-Constrained Online Continual Learning

Jianyang Gu, Kai Wang, Wei Jiang et al.

AAAI 2024paperarXiv:2305.16645
23
citations