Active Learning

Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios NeurIPS 2024 Active Learning with Simple Questions COLT 2024 Active Learning With Task Consistency and Diversity in Multi-Task Networks WACV 2024 Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery NAACL 2024 Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations CVPR 2024 Active preference learning for ordering items in- and out-of-sample NeurIPS 2024 Active Prompting with Chain-of-Thought for Large Language Models ACL 2024 Active Prompt Learning in Vision Language Models CVPR 2024 Active Reinforcement Learning for Robust Building Control AAAI 2024 Active Retrosynthetic Planning Aware of Route Quality ICLR 2024 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NeurIPS 2024 Active Set Ordering NeurIPS 2024 Active Test-Time Adaptation: Theoretical Analyses and An Algorithm ICLR 2024 Active Transfer Learning for Efficient Video-Specific Human Pose Estimation WACV 2024 ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets NeurIPS 2024 Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024 Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024 Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies ALT 2024 Adaptive Experiment Design with Synthetic Controls AISTATS 2024 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024 A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 A Human-in-the-Loop Approach to Improving Cross-Text Prosody Transfer Interspeech 2024