1.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Southern CaliforniaUS710 papers
- Southern States UniversityUS31 papers
- University of California, BerkeleyUS23 papers
- Carnegie Mellon UniversityUS18 papers
- University of California, Los AngelesUS18 papers
- Princeton UniversityUS17 papers
- Stanford UniversityUS16 papers
- California Institute of TechnologyUS15 papers
- Centre National de la Recherche ScientifiqueFR13 papers
- University of MichiganUS13 papers
- University of Illinois Urbana-ChampaignUS12 papers
- Google (United States)US11 papers
3 papers · 2 filters
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi, Fei Sha
We study the problem of unsupervised domain adaptation, which aims to adapt classifiers trained on a labeled source domain to an unlabeled target domain. Many existing approaches f…
Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen, Zhixiang Xu, Kilian Weinberger +1
Stacked denoising autoencoders (SDAs) have been successfully used to learn new representations for domain adaptation. Recently, they have attained record accuracy on standard bench…
Robust Multiple Manifolds Structure Learning
Dian Gong, Xuemei Zhao, Gerard Medioni
We present a robust multiple manifolds structure learning (RMMSL) scheme to robustly estimate data structures under the multiple low intrinsic dimensional manifolds assumption. In…