Active Learning

Expert with clustering: Hierarchical online preference learning framework L4DC 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024 Fairness without Harm: An Influence-Guided Active Sampling Approach NeurIPS 2024 Faster Convergence with MultiWay Preferences AISTATS 2024 Faster Recalibration of an Online Predictor via Approachability AISTATS 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Fast Rates in Pool-Based Batch Active Learning JMLR 2024 Few-shot Named Entity Recognition via Superposition Concept Discrimination COLING 2024 Few-shot Question Generation for Reading Comprehension ACL 2024 Generalized Category Discovery with Large Language Models in the Loop ACL 2024 Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers ACL 2024 Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024 GOMAA-Geo: GOal Modality Agnostic Active Geo-localization NeurIPS 2024 Hallucination Diversity-Aware Active Learning for Text Summarization NAACL 2024 Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification AAAI 2024 Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance ACL 2024 Human-in-the-Loop Visual Re-ID for Population Size Estimation ECCV 2024 Identifying Copeland Winners in Dueling Bandits with Indifferences AISTATS 2024 Improved Active Learning via Dependent Leverage Score Sampling ICLR 2024 Inconsistency-Based Data-Centric Active Open-Set Annotation AAAI 2024 Initializing Services in Interactive ML Systems for Diverse Users NeurIPS 2024 Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation NeurIPS 2024 Interactive Deep Clustering via Value Mining NeurIPS 2024 IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction IJCAI 2024