continual learning

1164 papers

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Also known as

CIT OCL TFCL CIS CGZSL CL OR NULL CPT CLL CL NULL CIL CL

Co-occurring keywords

catastrophic forgetting (939) knowledge distillation (3680) representation learning (6174) domain adaptation (4578) class-incremental learning (154) incremental learning (278) neural network (6616) transfer learning (5442) few-shot learning (3390) online learning (1770)

Papers

Effective Restoration of Source Knowledge in Continual Test Time Adaptation WACV 2024

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

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024

Continual Learning with Global Alignment NIPS 2024

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning WACV 2024

Learning to Route for Dynamic Adapter Composition in Continual Learning with Language Models EMNLP 2024

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation CVPR 2024

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

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

Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning WACV 2024

Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NIPS 2024

STAF: Pushing the Boundaries of Test-Time Adaptation towards Practical Noise Scenarios COLING 2024

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NIPS 2024

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

Wakening Past Concepts Without Past Data: Class-Incremental Learning From Online Placebos WACV 2024

Continual Atlas-Based Segmentation of Prostate MRI WACV 2024

Towards Autonomous Tool Utilization in Language Models: A Unified, Efficient and Scalable Framework COLING 2024

BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024

Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 2024

Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition ACL 2024

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning WACV 2024

CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024

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

Learning Equi-angular Representations for Online Continual Learning CVPR 2024

Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition WACV 2024