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Continual Learning
557 directly classified papers
Papers per year
2014: 2
2015: 1
2017: 6
2018: 6
2019: 14
2020: 39
2021: 65
2022: 84
2023: 102
2024: 105
2025: 130
2026: 3
Papers
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
AAAI 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
AAAI 2024
Hypercorrelation Evolution for Video Class-Incremental Learning
AAAI 2024
Multi-Domain Incremental Learning for Face Presentation Attack Detection
AAAI 2024
Quilt: Robust Data Segment Selection against Concept Drifts
AAAI 2024
Continual Learning with Global Alignment
NIPS 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
NIPS 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings
NIPS 2024
Continual learning with the neural tangent ensemble
NIPS 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NIPS 2024
Towards Reliable Learning in the Wild: Generalization and Adaptation
AAAI 2024
Defying Imbalanced Forgetting in Class Incremental Learning
AAAI 2024
CoGen: Learning from Feedback with Coupled Comprehension and Generation
EMNLP 2024
LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification
AAAI 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
AAAI 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP
AAAI 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias
AAAI 2024
Vector Quantization Prompting for Continual Learning
NIPS 2024
The Inter-batch Diversity of Samples in Experience Replay for Continual Learning
AAAI 2024
Continual Forgetting for Pre-trained Vision Models
CVPR 2024
Traceable Federated Continual Learning
CVPR 2024
Consistent Prompting for Rehearsal-Free Continual Learning
CVPR 2024
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction
CVPR 2024
Uncertainty-Guided Never-Ending Learning to Drive
CVPR 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
AAAI 2024
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