continual learning

Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation ICLR 2024 Flatness-aware Sequential Learning Generates Resilient Backdoors ECCV 2024 Flexible task abstractions emerge in linear networks with fast and bounded units NeurIPS 2024 Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition ACL 2024 F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation NAACL 2024 F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NeurIPS 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024 Function-space Parameterization of Neural Networks for Sequential Learning ICLR 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024 Happy: A Debiased Learning Framework for Continual Generalized Category Discovery NeurIPS 2024 Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks ICLR 2024 HOP to the Next Tasks and Domains for Continual Learning in NLP AAAI 2024 How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? NeurIPS 2024 Hypercorrelation Evolution for Video Class-Incremental Learning AAAI 2024 ICL: Iterative Continual Learning for Multi-domain Neural Machine Translation EMNLP 2024 Improving Continual Few-shot Relation Extraction through Relational Knowledge Distillation and Prototype Augmentation COLING 2024 Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation CVPR 2024 InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning CVPR 2024 Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024 Information Bottleneck Based Data Correction in Continual Learning ECCV 2024 InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions NAACL 2024 Instance-Conditional Timescales of Decay for Non-Stationary Learning AAAI 2024 Interactive Continual Learning: Fast and Slow Thinking CVPR 2024 Interactive Visual Task Learning for Robots AAAI 2024