Continual Learning

Exploring Orthogonality in Open World Object Detection CVPR 2024 Fast and Continual Knowledge Graph Embedding via Incremental LoRA IJCAI 2024 Fast Machine Unlearning without Retraining through Selective Synaptic Dampening AAAI 2024 Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning NeurIPS 2024 FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning CVPR 2024 Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning ICLR 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024 FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NeurIPS 2024 Few-Shot Keyword-Incremental Learning with Total Calibration Interspeech 2024 FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning IJCAI 2024 Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning AAAI 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024 Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation ICLR 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 before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models ACL 2024 Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NeurIPS 2024 Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor Interspeech 2024 Function-space Parameterization of Neural Networks for Sequential Learning ICLR 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning NeurIPS 2024 Generative Multi-modal Models are Good Class Incremental Learners CVPR 2024