catastrophic forgetting

Mitigating Forgetting in Continual Learning with Selective Gradient Projection IJCNLP 2025 Mixture of LoRA Experts for Continual Information Extraction with LLMs EMNLP 2025 Mixture of LoRA Experts for Low-Resourced Multi-Accent Automatic Speech Recognition Interspeech 2025 MKT: A Multi-Stage Knowledge Transfer Framework to Mitigate Catastrophic Forgetting in Multi-Domain Chinese Spelling Correction EMNLP 2025 Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation WACV 2025 MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing AAAI 2025 Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training CVPR 2025 MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning AAAI 2025 Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark WACV 2025 Multilingual Continual Learning using Attention Distillation COLING 2025 Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling ACL 2025 MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025 Multi-view Fusion and Parameter Perturbation for Few-Shot Class-Incremental Audio Classification Interspeech 2025 Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025 One-for-More: Continual Diffusion Model for Anomaly Detection CVPR 2025 One VLM to Keep it Learning: Generation and Balancing for Data-Free Continual Visual Question Answering WACV 2025 Online Reinforcement Learning in Non-Stationary Context-Driven Environments ICLR 2025 Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution CVPR 2025 On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract) AAAI 2025 On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025 On the Impact of Fine-Tuning on Chain-of-Thought Reasoning NAACL 2025 Optimal Protocols for Continual Learning via Statistical Physics and Control Theory ICLR 2025 Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay COLING 2025 Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping CVPR 2025 Overcoming Dual Drift for Continual Long-Tailed Visual Question Answering ICCV 2025