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09/12/2023
Active Label Refinement for Semantic Segmentation of Satellite Images
Remote sensing through semantic segmentation of satellite images contrib...
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10/12/2022
Fast Bayesian Updates for Deep Learning with a Use Case in Active Learning
Retraining deep neural networks when new data arrives is typically compu...
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08/09/2021
Probabilistic Active Learning for Active Class Selection
In machine learning, active class selection (ACS) algorithms aim to acti...
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09/29/2020
Efficient SVDD Sampling with Approximation Guarantees for the Decision Boundary
Support Vector Data Description (SVDD) is a popular one-class classifier...
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06/02/2020
Toward Optimal Probabilistic Active Learning Using a Bayesian Approach
Gathering labeled data to train well-performing machine learning models ...
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01/29/2019