Active Learning

Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024 Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated AAAI 2024 Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024 Class Balancing for Efficient Active Learning in Imbalanced Datasets EACL 2024 Classification with Conceptual Safeguards ICLR 2024 Clustering Items From Adaptively Collected Inconsistent Feedback AISTATS 2024 Co-Creational Teaching of Natural Language Processing ACL 2024 CoLAL: Co-learning Active Learning for Text Classification AAAI 2024 Combating Insider Threat in the Open-World Environments: Identification, Monitoring, and Data Augmentation AAAI 2024 Combining Graph Transformers Based Multi-Label Active Learning and Informative Data Augmentation for Chest Xray Classification AAAI 2024 Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees AAAI 2024 Computerized Adaptive Testing via Collaborative Ranking NeurIPS 2024 Contextual Active Model Selection NeurIPS 2024 Contextual Bandits with Budgeted Information Reveal AISTATS 2024 Correlation-Aware Active Learning for Surgery Video Segmentation WACV 2024 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 Critical Gap Between Generalization Error and Empirical Error in Active Learning WACV 2024 D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment WACV 2024 Data-Centric Debugging: Mitigating Model Failures via Targeted Image Retrieval WACV 2024 Data Summarization via Bilevel Optimization JMLR 2024 Deep Active Learning with Noise Stability AAAI 2024 Demo: Enhancing Wildlife Acoustic Data Annotation Efficiency through Transfer and Active Learning IJCAI 2024 DeMuX: Data-efficient Multilingual Learning NAACL 2024 Denoising Labeled Data for Comment Moderation Using Active Learning COLING 2024 Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation AAAI 2024