Continual Learning

Continued Pretraining and Interpretability-Based Evaluation for Low-Resource Languages: A Galician Case Study ACL 2025 Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence Interspeech 2025 Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models ACL 2025 Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification ICLR 2025 COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 Coreset Selection via Reducible Loss in Continual Learning ICLR 2025 CoSMIC: Continual Self-supervised Learning for Multi-Domain Medical Imaging via Conditional Mutual Information Maximization ICCV 2025 Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025 CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search NAACL 2025 CRAM: Large Scale Video Continual Learning with Bootstrapped Compression ICCV 2025 CurLL: A Developmental Framework to Evaluate Continual Learning in Language Models EMNLP 2025 Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction IJCAI 2025 Curr-ReFT: Overcoming Training Bottlenecks in Small-scale Vision-Language Models via Curriculum Reinforcement Finetuning EMNLP 2025 DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations EMNLP 2025 DAM: Dynamic Adapter Merging for Continual Video QA Learning WACV 2025 DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification AAAI 2025 Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025 DCA: Dividing and Conquering Amnesia in Incremental Object Detection AAAI 2025 Deconfound Semantic Shift and Incompleteness in Incremental Few-shot Semantic Segmentation AAAI 2025 Denoising Task Difficulty-based Curriculum for Training Diffusion Models ICLR 2025 Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection IJCAI 2025 Discarding the Crutches: Adaptive Parameter-Efficient Expert Meta-Learning for Continual Semantic Parsing COLING 2025 Disentangle Source and Target Knowledge for Continual Test-Time Adaptation WACV 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025