"online continual learning" Papers
12 papers found
Conference
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