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bayesian active learning

27 papers

BAL

Papers

Active Learning with Non-Uniform Costs for African Natural Language Processing EACL 2026 COBALT: Censored Optimization and Bayesian Active Learning Techniques UAI 2026 Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning EMNLP 2025 Bayesian Active Learning for Bivariate Causal Discovery ICML 2025 MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025 Multi-Label Bayesian Active Learning with Inter-Label Relationships UAI 2025 Deep Bayesian Active Learning for Preference Modeling in Large Language Models NeurIPS 2024 Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024 SEL-BALD: Deep Bayesian Active Learning with Selective Labels NeurIPS 2024 A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023 Beam Search Optimized Batch Bayesian Active Learning AAAI 2023 Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023 Leveraging Active Learning to Minimise SRL Annotation Across Corpora ACL 2023 Prediction-Oriented Bayesian Active Learning AISTATS 2023 SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals ICML 2022 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021 Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NeurIPS 2021 BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NeurIPS 2019 Bayesian Batch Active Learning as Sparse Subset Approximation NeurIPS 2019 Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018 Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018 Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NeurIPS 2017 Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014 Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NeurIPS 2013 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011