catastrophic forgetting

939 papers

Explore in graph

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

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

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

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

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

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

Forget Less by Learning Together through Concept Consolidation WACV 2026

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

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

ELLA: Efficient Lifelong Learning for Adapters in Large Language Models EACL 2026

Incorporating Multiword Expressions in Galician Neural Machine Translation: Compositionality, Efficiency, and Performance EACL 2026

CiNuSeg: Class Incremental Nuclei Segmentation via Anchor-driven Consistency Learning with Dual Region Regularization AAAI 2026

Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation AAAI 2026

Continual Out-of-Distribution Detection with Analytic Neural Collapse AAAI 2026

Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA AAAI 2026

DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning AAAI 2026

Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning AAAI 2026

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

Adapt Before Continual Learning AAAI 2026

Attention Retention for Continual Learning with Vision Transformers AAAI 2026

Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning AAAI 2026

PANDA – Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning 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

Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint AAAI 2026

L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization AAAI 2026