10 citations · 18 across the 3 of their papers we have counts for
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cs.LG2021
Learning Abstract Task Representations
Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani +1
A proper form of data characterization can guide the process of learning-algorithm selection and model-performance estimation. The field of meta-learning has provided a rich body o…
cs.LG2018★ 10 cited
A General Approach to Domain Adaptation with Applications in Astronomy
Ricardo Vilalta, Kinjal Dhar Gupta, Dainis Boumber +1
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. The problem is generally…