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  1. Reliability in Machine Learning.Thomas Grote, Konstantin Genin & Emily Sullivan - forthcoming - Philosophy Compass.
    Issues of reliability are claiming center-stage in the epistemology of machine learning. This paper unifies different branches in the literature and points to promising research directions, whilst also providing an accessible introduction to key concepts in statistics and machine learning---as far as they are concerned with reliability.
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  • Fragility, robustness and antifragility in deep learning.Chandresh Pravin, Ivan Martino, Giuseppe Nicosia & Varun Ojha - 2024 - Artificial Intelligence 327 (C):104060.
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