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Beam Search Optimized Batch Bayesian Active Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2023Active Learning is an essential method for label-efficient deep learning. As a Bayesian active learning method, Bayesian Active Learning by Disagreement (BALD) successfully selects the most representative samples by maximizing the mutual information between the model prediction and model parameters.
Jingyu Sun +3 more
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Multi-point Bayesian active learning reliability analysis
Structural SafetyTong Zhou +4 more
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Bayesian Active Learning With Non-Persistent Noise
IEEE Transactions on Information Theory, 2015We consider the problem of noisy Bayesian active learning where we are given a finite set of functions $\mathcal {H}$ , a sample space $\mathcal {X}$ , and a label set $\mathcal {L}$ . One of the functions in $\mathcal {H}$ assigns labels to samples in $\mathcal {X}$ .
Mohammad Naghshvar +2 more
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SmartHisto: Bayesian Active Learning for Histology Images
Abstract Accurate and efficient characterization of biological images is crucial for advancing systems biology and medical research. Recent advancements in deep learning and image processing have enabled neural network models to rapidly accelerate image analysis by utilizing large expert-annotated datasets.Sriram Vijendran +3 more
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Bayesian deep-learning for RUL prediction: An active learning perspective
Reliability Engineering and System Safety, 2022Weiwen Peng
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Structural reliability analysis by line sampling: A Bayesian active learning treatment
Structural Safety, 2023Chao Dang +2 more
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Active learning Bayesian support vector regression model for global approximation
Information Sciences, 2021Yan Shi
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