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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

Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory CVPR 2024
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models NIPS 2024
Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NIPS 2024
Live and Learn: Continual Action Clustering with Incremental Views AAAI 2024
Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering COLING 2024
Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition ACL 2024
Non-exemplar Domain Incremental Object Detection via Learning Domain Bias AAAI 2024
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale EMNLP 2024
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024
Continual Contrastive Spoken Language Understanding ACL 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
Task-Free Dynamic Sparse Vision Transformer for Continual Learning AAAI 2024
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024
Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster AAAI 2024
HOP to the Next Tasks and Domains for Continual Learning in NLP AAAI 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation ACL 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024
Persistence Homology Distillation for Semi-supervised Continual Learning NIPS 2024
Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024
Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning WACV 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions NAACL 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024