Search Results for author: Hesham Alhumade

Found 1 papers, 1 papers with code

Learning Smooth Representation for Unsupervised Domain Adaptation

1 code implementation26 May 2019 Guanyu Cai, Lianghua He, Mengchu Zhou, Hesham Alhumade, Die Hu

When constructing a deep end-to-end model, to ensure the effectiveness and stability of unsupervised domain adaptation, three critical factors are considered in our proposed optimization strategy, i. e., the sample amount of a target domain, dimension and batchsize of samples.

Unsupervised Domain Adaptation

Cannot find the paper you are looking for? You can Submit a new open access paper.