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

CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024

Online Class-Incremental Learning for Real-World Food Image Classification WACV 2024

Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024

Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024

Self-training Large Language Models through Knowledge Detection EMNLP 2024

An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024

Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024

Continual Learning in the Frequency Domain NIPS 2024

Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024

Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning WACV 2024

Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024

Domain adapted machine translation: What does catastrophic forgetting forget and why? EMNLP 2024

Gradient Localization Improves Lifelong Pretraining of Language Models EMNLP 2024

ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning CVPR 2024

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference NIPS 2024

Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture WACV 2024

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024

FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing NAACL 2024

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NIPS 2024

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection AAAI 2024

RanDumb: Random Representations Outperform Online Continually Learned Representations NIPS 2024

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning AAAI 2024

Defying Imbalanced Forgetting in Class Incremental Learning AAAI 2024

InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning CVPR 2024

LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-identification AAAI 2024