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catastrophic forgetting

939 papers

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Also known as

CF

Co-occurring keywords

continual learning (1164) knowledge distillation (3680) class-incremental learning (154) incremental learning (278) domain adaptation (4578) representation learning (6174) lifelong learning (142) few-shot learning (3390) transfer learning (5442) large language model (12755)

Papers

TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation AAAI 2024
Continual learning with the neural tangent ensemble NIPS 2024
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering NAACL 2024
Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024
Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering COLING 2024
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation COLING 2024
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation NAACL 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions NAACL 2024
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification CVPR 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning CVPR 2024
Wings: Learning Multimodal LLMs without Text-only Forgetting NIPS 2024
Self-training Large Language Models through Knowledge Detection EMNLP 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024
Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
GACL: Exemplar-Free Generalized Analytic Continual Learning NIPS 2024
Domain adapted machine translation: What does catastrophic forgetting forget and why? EMNLP 2024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024
MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models COLING 2024
Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024