continual learning

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning AAAI 2024 Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024 ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024 Effective Restoration of Source Knowledge in Continual Test Time Adaptation WACV 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 2024 Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning ICLR 2024 Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning AAAI 2024 Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024 Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation ACL 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 2024 Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024 Evolving Parameterized Prompt Memory for Continual Learning AAAI 2024 Expanding Hyperspherical Space for Few-Shot Class-Incremental Learning WACV 2024 Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following NeurIPS 2024 Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark AAAI 2024 Fast and Continual Knowledge Graph Embedding via Incremental LoRA IJCAI 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 Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning AAAI 2024