Fei Sha
Affiliations: | 2002-2006 | Computer Science | University of Pennsylvania, Philadelphia, PA, United States |
Area:
Statistical Machine Learning, Principled Probabilistic Models and AlgorithmsGoogle:
"Fei Sha"Parents
Sign in to add mentorLawrence K. Saul | grad student | 2007 | Penn | |
(Large margin training of acoustic models for speech recognition.) | ||||
Michael I. Jordan | post-doc | 2005-2006 | UC Berkeley |
Children
Sign in to add traineeSebastien M. R. Arnold | grad student | USC | |
Soravit Changpinyo | grad student | USC | |
Wei-Lun Chao | grad student | USC | |
Boqing Gong | grad student | USC | |
Hexiang Hu | grad student | USC | |
Shariq Iqbal | grad student | USC | |
Michiel de Jong | grad student | USC | |
Zhiyun Lu | grad student | USC | |
Yury Zemlyanskiy | grad student | USC | |
Bowen Zhang | grad student | USC |
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Publications
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Hu H, Sener O, Sha F, et al. (2022) Drinking from a Firehose: Continual Learning with Web-scale Natural Language. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Rawat RR, Ortega I, Roy P, et al. (2020) Deep learned tissue "fingerprints" classify breast cancers by ER/PR/Her2 status from H&E images. Scientific Reports. 10: 7275 |
May A, Garakani AB, Lu Z, et al. (2019) Kernel Approximation Methods for Speech Recognition Journal of Machine Learning Research. 20: 1-36 |
Changpinyo S, Chao W, Gong B, et al. (2019) Classifier and Exemplar Synthesis for Zero-Shot Learning International Journal of Computer Vision. 128: 166-201 |
Potthast C, Breitenmoser A, Sha F, et al. (2016) Active multi-view object recognition: A unifying view on online feature selection and view planning Robotics and Autonomous Systems. 84: 31-47 |
Liu K, Bellet A, Sha F. (2015) Similarity learning for high-dimensional sparse data Journal of Machine Learning Research. 38: 653-662 |
Chen M, Weinberger KQ, Xu Z, et al. (2015) Marginalizing Stacked linear denoising autoencoders Journal of Machine Learning Research. 16: 3849-3875 |
Gong B, Grauman K, Sha F. (2014) Learning kernels for unsupervised domain adaptation with applications to visual object recognition International Journal of Computer Vision. 109: 3-27 |
Chen M, Weinberger K, Sha F, et al. (2014) Marginalized denoising auto-encoders for nonlinear representations 31st International Conference On Machine Learning, Icml 2014. 4: 3342-3350 |
Wang J, Sun K, Sha F, et al. (2014) Two-stage metric learning 31st International Conference On Machine Learning, Icml 2014. 2: 1683-1692 |