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continual learning

1164 papers

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Also known as

CIT OCL TFCL CIS CGZSL CL OR NULL CPT CLL CL NULL CIL CL

Co-occurring keywords

catastrophic forgetting (939) knowledge distillation (3680) representation learning (6174) domain adaptation (4578) class-incremental learning (154) incremental learning (278) neural network (6616) transfer learning (5442) few-shot learning (3390) online learning (1770)

Papers

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024
Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy CVPR 2024
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction ACL 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models EMNLP 2024
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models EMNLP 2024
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection AAAI 2024
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024
ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation EMNLP 2024
Continual learning of multi-modal dynamics with external memory L4DC 2024
Effective Restoration of Source Knowledge in Continual Test Time Adaptation WACV 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning WACV 2024
Learning Successor Features the Simple Way NIPS 2024
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG EMNLP 2024
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift AISTATS 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NIPS 2024
Continual Learning of Unsupervised Monocular Depth From Videos WACV 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA IJCAI 2024
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024
MIND: Multi-Task Incremental Network Distillation AAAI 2024