Continual Learning

SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024 SimCS: Simulation for Domain Incremental Online Continual Segmentation AAAI 2024 Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NeurIPS 2024 SirLLM: Streaming Infinite Retentive LLM ACL 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024 Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks NeurIPS 2024 Start Simple: Progressive Difficulty Multitask Learning NAACL 2024 Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning WACV 2024 Stepping Forward on the Last Mile NeurIPS 2024 StreamBench: Towards Benchmarking Continuous Improvement of Language Agents NeurIPS 2024 Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack NeurIPS 2024 Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products ACL 2024 Summarizing Stream Data for Memory-Constrained Online Continual Learning AAAI 2024 Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models EMNLP 2024 TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024 TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight NeurIPS 2024 Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning CVPR 2024 Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings NeurIPS 2024 Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster AAAI 2024 Task-Free Dynamic Sparse Vision Transformer for Continual Learning AAAI 2024 Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NeurIPS 2024 TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning WACV 2024 Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment NeurIPS 2024 Text-Enhanced Data-free Approach for Federated Class-Incremental Learning CVPR 2024