conftrace_

catastrophic forgetting

1,155 papers

Explore in graph

Also known as

CF

Co-occurring keywords · papers mentioning both

continual learning (701) knowledge distillation (183) class-incremental learning (146) incremental learning (81) representation learning (71) domain adaptation (69) lifelong learning (69) large language model (64) few-shot learning (60) transfer learning (55)

Papers

Learning to Continually Learn with the Bayesian Principle ICML 2024 Learn it or Leave it: Module Composition and Pruning for Continual Learning ACL 2024 Learn more, but bother less: parameter efficient continual learning NeurIPS 2024 Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models ACL 2024 Leitner-Guided Memory Replay for Cross-lingual Continual Learning NAACL 2024 LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models EMNLP 2024 Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning NeurIPS 2024 Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024 Lifelong Event Detection via Optimal Transport EMNLP 2024 Locality Sensitive Sparse Encoding for Learning World Models Online ICLR 2024 Long-Tail Class Incremental Learning via Independent Sub-prototype Construction CVPR 2024 LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification AAAI 2024 Make Continual Learning Stronger via C-Flat NeurIPS 2024 Making Pre-trained Language Models Better Continual Few-Shot Relation Extractors COLING 2024 MemoryPrompt: A Light Wrapper to Improve Context Tracking in Pre-trained Language Models COLING 2024 Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024 Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding NeurIPS 2024 Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning ACL 2024 Mitigating Catastrophic Forgetting in Language Transfer via Model Merging EMNLP 2024 Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal ACL 2024 Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization ICML 2024 Mixture of Experts Meets Prompt-Based Continual Learning NeurIPS 2024 Model Editing at Scale leads to Gradual and Catastrophic Forgetting ACL 2024 Model Sensitivity Aware Continual Learning NeurIPS 2024 Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models ICML 2024