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

Language Guided Concept Bottleneck Models for Interpretable Continual Learning CVPR 2025

DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models CVPR 2025

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs EMNLP 2025

Dynamic Prefix as Instructor for Incremental Named Entity Recognition: A Unified Seq2Seq Generation Framework ACL 2025

FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding CVPR 2025

AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual Learning CVPR 2025

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation CVPR 2025

MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification AAAI 2025

ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation CVPR 2025

Rethinking Query-based Transformer for Continual Image Segmentation CVPR 2025

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning CVPR 2025

Exploring Forgetting in Large Language Model Pre-Training ACL 2025

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging EMNLP 2025

Activating Sparse Part Concepts for 3D Class Incremental Learning CVPR 2025

KAC: Kolmogorov-Arnold Classifier for Continual Learning CVPR 2025

Diffuse&Refine: Intrinsic Knowledge Generation and Aggregation for Incremental Object Detection IJCAI 2025

Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning AAAI 2025

Exploring the Stability Gap in Continual Learning: The Role of the Classification Head WACV 2025

LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application AAAI 2025

HFT: Half Fine-Tuning for Large Language Models ACL 2025

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models AAAI 2025

One-for-More: Continual Diffusion Model for Anomaly Detection CVPR 2025

Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds CVPR 2025

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs ACL 2025

Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning ICCV 2025