Math: “Frustratingly easy” (1)

Suresh Venkatasubramanian

Though some people say mathematics is frustratingly difficult, all must agree that one part of it is frustratingly easy. Or at least agree that the title of a particular study is “Frustratingly Easy Semi-supervised Domain Adaptation.” Written by Abhishek Kumar, Avishek Saha, Hal Daume III, P. Thomas Fletcher and Suresh Venkatasubramanian, its abstract clarifies matters, more or less:

In this work, we propose a semi-supervised extension to a well-known supervised domain adaptation approach (EA). Our proposed approach (EA++) builds on the notion of augmented space (introduced in EA) and harnesses unlabeled data in target domain to ameliorate the transfer of information from source to target. This semi-supervised approach to domain adaptation is extremely simple to implement, and can be applied as a pre-processing step to any supervised learner.

(Thanks to investigator Stanley Eigen for bringing it to our attention.)