21 citations · 34 across the 3 of their papers we have counts for
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cs.LG2022★ 21 cited
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data
Evgeny M Mirkes, Jonathan Bac, Aziz Fouché +3
Domain adaptation is a popular paradigm in modern machine learning which aims at tackling the problem of divergence (or shift) between the labeled training and validation datasets…
cs.LG2021★ 12 cited
High-dimensional separability for one- and few-shot learning
Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes +2
This work is driven by a practical question: corrections of Artificial Intelligence (AI) errors. These corrections should be quick and non-iterative. To solve this problem without…