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Egor Kolodin: Uncertainty for Active Learning
Active learning of ML potentials with uncertainty differentiation and attribution by R. Gomez
Uncertainty for Active Learning on Graphs (ICML 2024)
AL Uncertainity Sampling Demo
Selective Sampling with Drift -- Koby Crammer
Diverse Sampling Strategies for Active Learning on Satellite Imagery
Less Labelling: Active Learning with Possibility Theory
AIC: Uncertainty Quantification in Machine Learning: From Aleatoric to Epistemic
Active Learning and Annotation
Cold-start Active Learning through Self-Supervised Language Modeling
Active Learning Explained: Smart Data Labeling for AI 🤖
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Last Updated: August 15, 2026
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