519 citations
- University of Southern CaliforniaUS100 papers
- Princeton UniversityUS4 papers
- California Institute of TechnologyUS3 papers
- Ghent UniversityBE2 papers
- Laboratoire de Mathématiques Jean LerayFR2 papers
- Nantes UniversitéFR2 papers
- Stony Brook UniversityUS2 papers
- University of California, BerkeleyUS2 papers
- University of MichiganUS2 papers
- A. Alikhanyan National LaboratoryAM1 paper
- Aarhus UniversityDK1 paper
- Argonne National LaboratoryUS1 paper
Showing cs.LGShow all
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cs.LG2012★ 131 cited
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…
cs.LG2012★ 519 cited
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…
cs.LG2012★ 19 cited
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…