active learning

Active Learning With Task Consistency and Diversity in Multi-Task Networks WACV 2024 Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure MIDL 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 Prompting with Chain-of-Thought for Large Language Models ACL 2024 Active Prompt Learning in Vision Language Models CVPR 2024 Active Retrosynthetic Planning Aware of Route Quality ICLR 2024 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference 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 Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024 Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies ALT 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 ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data AISTATS 2024 ALVIN: Active Learning Via INterpolation EMNLP 2024 Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets NAACL 2024 An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024 An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations IJCAI 2024 Annotator-Centric Active Learning for Subjective NLP Tasks EMNLP 2024 APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching NAACL 2024