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

Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype AAAI 2024

Unsupervised Online Continual Learning for Automatic Speech Recognition INTERSPEECH 2024

Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024

Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024

LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification AAAI 2024

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models EMNLP 2024

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation EMNLP 2024

A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning CVPR 2024

Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages INTERSPEECH 2024

Adapter Learning from Pre-trained Model for Robust Spoof Speech Detection INTERSPEECH 2024

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection AAAI 2024

CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024

Finding Task-specific Subnetworks in Multi-task Spoken Language Understanding Model INTERSPEECH 2024

F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation NAACL 2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NIPS 2024

Leitner-Guided Memory Replay for Cross-lingual Continual Learning NAACL 2024

Rehearsal-Free Modular and Compositional Continual Learning for Language Models NAACL 2024

Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024

Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024

Few-Shot Keyword-Incremental Learning with Total Calibration INTERSPEECH 2024

MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation COLING 2024

CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NIPS 2024

Knowledge-Preserving Pluggable Modules for Multilingual Speech Translation Tasks INTERSPEECH 2024