catastrophic forgetting

939 papers

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Also known as

CF

Co-occurring keywords

continual learning (1164) knowledge distillation (3680) class-incremental learning (154) incremental learning (278) domain adaptation (4578) representation learning (6174) lifelong learning (142) few-shot learning (3390) transfer learning (5442) large language model (12755)

Papers

Continual-learning for Modelling Low-Resource Languages from Large Language Models EACL 2026

Completely Modular Fine-tuning for Dynamic Language Adaptation EACL 2026

MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation WACV 2026

MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images WACV 2026

Forget Less by Learning Together through Concept Consolidation WACV 2026

Adversarial Pseudo-replay for Exemplar-free Class-incremental Learning WACV 2026

Sparse Adapter Fusion for Continual Learning in NLP EACL 2026

New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts (Student Abstract) AAAI 2026

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation AAAI 2026

MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization AAAI 2026

Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge AAAI 2026

LoKI: Low-Damage Knowledge Implanting of Large Language Models AAAI 2026

OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning AAAI 2026

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization AAAI 2026

Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model AAAI 2026

HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning AAAI 2026

Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory AAAI 2026

Topology-aware Knowledge Preservation for Class-Incremental Learning AAAI 2026

Catastrophic Forgetting in Kolmogorov-Arnold Networks AAAI 2026

KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning AAAI 2026

Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026

Learning with Preserving for Continual Multitask Learning AAAI 2026

SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency AAAI 2026

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026