Continual Learning
2,107 papers
Papers per year
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1
1
4
7
6
4
25
43
78
139
219
252
388
385
421
133
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Papers
PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
AAAI 2025
Persona Dynamics: Unveiling the Impact of Persona Traits on Agents in Text-Based Games
ACL 2025
Perturbation-Restrained Sequential Model Editing
ICLR 2025
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
CVPR 2025
PLAN: Proactive Low-Rank Allocation for Continual Learning
ICCV 2025
Plastic Learning with Deep Fourier Features
ICLR 2025
Preserving Diversity in Supervised Fine-Tuning of Large Language Models
ICLR 2025
Privacy-Aware Lifelong Learning
ICLR 2025
Progressive distillation induces an implicit curriculum
ICLR 2025
Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning
ICCV 2025
Progressive LoRA for Multimodal Continual Instruction Tuning
ACL 2025
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
ICCV 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
CVPR 2025
Prototype antithesis for biological few-shot class-incremental learning
ICLR 2025
Prototype Conditioned Generative Replay for Continual Learning in NLP
NAACL 2025
Prototype-guided Knowledge Propagation with Adaptive Learning for Lifelong Person Re-identification
IJCAI 2025
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
AAAI 2025
PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection
ICLR 2025
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
AAAI 2025
Quantifying Memorization in Continual Pre-training with Japanese General or Industry-Specific Corpora
ACL 2025
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
AAAI 2025
RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning
ICCV 2025
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience
AAAI 2025
Rebalancing Multi-Label Class-Incremental Learning
AAAI 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
EMNLP 2025