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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

Continual Learning with Global Alignment NIPS 2024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation IJCAI 2024
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024
Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory CVPR 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024
Interactive Visual Task Learning for Robots AAAI 2024
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024
Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models EMNLP 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal ACL 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NIPS 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024
ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation EMNLP 2024
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following NIPS 2024
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG EMNLP 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations NIPS 2024
Continual learning of multi-modal dynamics with external memory L4DC 2024
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
Continual Reinforcement Learning for Controlled Text Generation COLING 2024
Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters CVPR 2024