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bayesian active learning

24 papers

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Also known as

BAL

Co-occurring keywords

bayesian inference (1907) active learning (1301) acquisition function (129) large language model (13587) uncertainty quantification (1393) batch active learning (14) greedy algorithm (242) predictive performance (22) collision-free path (10) edge evaluation (5)

Papers

Active Learning with Non-Uniform Costs for African Natural Language Processing EACL 2026
MAPLE: A Framework for Active Preference Learning Guided by Large Language Models AAAI 2025
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning EMNLP 2025
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Deep Bayesian Active Learning for Preference Modeling in Large Language Models NIPS 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks AAAI 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning ICML 2023
Leveraging Active Learning to Minimise SRL Annotation Across Corpora ACL 2023
Beam Search Optimized Batch Bayesian Active Learning AAAI 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 NIPS 2021
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018
Bayesian Active Edge Evaluation on Expensive Graphs IJCAI 2018
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NIPS 2017
Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NIPS 2013
The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011
Near-Optimal Bayesian Active Learning with Noisy Observations NIPS 2010
Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques JMLR 2009