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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
ML2-9 When Active Learning Meets Multi-Armed Bandit Problems
Selective Sampling with Drift -- Koby Crammer
Diverse Sampling Strategies for Active Learning on Satellite Imagery
Less Labelling: Active Learning with Possibility Theory
Cold-start Active Learning through Self-Supervised Language Modeling
Active Learning – Dmitri Puzyrev
Sample Noise Impact on Active Learning
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Last Updated: August 23, 2026
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