continual learning

A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal NeurIPS 2022 Ask Question First for Enhancing Lifelong Language Learning COLING 2022 A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning ICML 2022 A Theoretical Study on Solving Continual Learning NeurIPS 2022 BayesPCN: A Continually Learnable Predictive Coding Associative Memory NeurIPS 2022 Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer NeurIPS 2022 BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling NeurIPS 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NeurIPS 2022 Bring Evanescent Representations to Life in Lifelong Class Incremental Learning CVPR 2022 Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation CVPR 2022 Class Incremental Learning for Intent Classification with Limited or No Old Data EMNLP 2022 Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022 Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation CVPR 2022 CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability ICLR 2022 CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks NeurIPS 2022 CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation EMNLP 2022 CoMPS: Continual Meta Policy Search ICLR 2022 Consistent Representation Learning for Continual Relation Extraction ACL 2022 Constrained Few-Shot Class-Incremental Learning CVPR 2022 ConTinTin: Continual Learning from Task Instructions ACL 2022 Continual Federated Learning Based on Knowledge Distillation IJCAI 2022 Continual Few-shot Intent Detection COLING 2022 Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation ACL 2022 Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions NeurIPS 2022 Continual Learning for Natural Language Generations with Transformer Calibration CoNLL 2022