Search Results for author: Mikhail M. Meskhi

Found 2 papers, 0 papers with code

Learning Abstract Task Representations

no code implementations19 Jan 2021 Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta

A proper form of data characterization can guide the process of learning-algorithm selection and model-performance estimation.

Meta-Learning

A General Approach to Domain Adaptation with Applications in Astronomy

no code implementations20 Dec 2018 Ricardo Vilalta, Kinjal Dhar Gupta, Dainis Boumber, Mikhail M. Meskhi

The ability to build a model on a source task and subsequently adapt such model on a new target task is a pervasive need in many astronomical applications.

Active Learning Astronomy +2

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