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← Learning Types
Machine Learning
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Learning Types
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Continual Learning
1895 directly classified papers
Papers per year
2005: 1
2010: 1
2012: 1
2013: 4
2014: 7
2015: 6
2016: 4
2017: 25
2018: 35
2019: 75
2020: 126
2021: 202
2022: 221
2023: 362
2024: 351
2025: 353
2026: 121
Papers
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration
NIPS 2023
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models
NIPS 2023
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence
NIPS 2023
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
NIPS 2023
Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation
NIPS 2023
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments
NIPS 2023
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
NIPS 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
NIPS 2023
Evolving Standardization for Continual Domain Generalization over Temporal Drift
NIPS 2023
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication
NIPS 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
NIPS 2023
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
MIDL 2023
Overcoming catastrophic forgetting with classifier expander
ACML 2023
RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics
NSDI 2023
Continual Vision-based Reinforcement Learning with Group Symmetries
CORL 2023
Embodied Lifelong Learning for Task and Motion Planning
CORL 2023
Lifelong bandit optimization: no prior and no regret
UAI 2023
AUC Maximization in Imbalanced Lifelong Learning
UAI 2023
In- or out-of-distribution detection via dual divergence estimation
UAI 2023
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
RSS 2023
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
EACL 2023
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
JMLR 2023
Continual Learning With Dependency Preserving Hypernetworks
WACV 2023
Do Pre-Trained Models Benefit Equally in Continual Learning?
WACV 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
WACV 2023
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