Revisiting (\epsilon, \gamma, \tau)-similarity learning for domain adaptation

no code implementations • NeurIPS 2018 • Sofiane Dhouib, Ievgen Redko

Similarity learning is an active research area in machine learning that tackles the problem of finding a similarity function tailored to an observable data sample in order to achieve efficient classification.

Domain Adaptation General Classification