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Kilian Q. Weinberger
Associate Professor
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Bio
Kilian Weinberger's research focuses on Machine Learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, machine learned web-search ranking, transfer- and multi-task learning as well as biomedical applications. Before joining Cornell University, he was an Associate Professor at Washington University in St. Louis and before that he worked as a research scientist at Yahoo! Research in Santa Clara.
Papers171 papers
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CVPR, pp.11710-11720, (2020)
ICLR, (2020)
Cole Miles, Annabelle Bohrdt, Ruihan Wu, Christie Chiu, Muqing Xu, Geoffrey Ji,Markus Greiner,Kilian Q. Weinberger,Eugene Demler,Eun-Ah Kim
NeurIPS, (2020)
Yurong You,Yan Wang,Wei-Lun Chao, Divyansh Garg, Geoff Pleiss,Bharath Hariharan,Mark Campbell,Kilian Q. Weinberger
ICLR, (2020)
Jerry Fong,Jacob R Gardner, Jared M Andrews, Amanda F Cashen, Jacqueline E Payton,Kilian Q Weinberger, John R Edwards
bioRxiv, (2020)
Jordan Venderley, Michael Matty, Matthew Krogstad, Jacob Ruff,Geoff Pleiss, Varsha Kishore, David Mandrus,Daniel Phelan, Lekhanath Poudel, Andrew Gordon Wilson,Kilian Weinberger, Puspa Upreti
CVPR, pp.5880-5889, (2020)
international conference on machine learning, pp.6861-6871, (2019)
Bibtex
CVPR, (2019): 8445-8453
arXiv: Learning, (2019)
arXiv: Learning, (2019)
IEEE transactions on pattern analysis and machine intelligence, pp.1-1, (2019)
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