catastrophic forgetting

Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training NeurIPS 2024 Rehearsal-Free Modular and Compositional Continual Learning for Language Models NAACL 2024 Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation ECCV 2024 Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning CVPR 2024 Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models COLING 2024 Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NeurIPS 2024 Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024 Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024 Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning WACV 2024 Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models NAACL 2024 SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models NeurIPS 2024 SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models ACL 2024 SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models EMNLP 2024 See Say and Segment: Teaching LMMs to Overcome False Premises CVPR 2024 Self-Composing Policies for Scalable Continual Reinforcement Learning ICML 2024 Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning ACL 2024 Self-generated Replay Memories for Continual Neural Machine Translation NAACL 2024 Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models NeurIPS 2024 Self-training Large Language Models through Knowledge Detection EMNLP 2024 Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer CVPR 2024 Sequential Editing for Lifelong Training of Speech Recognition Models Interspeech 2024 SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning NAACL 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024 Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation ICML 2024