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Lambda Learner: Fast Incremental Learning on Data Streams

Oct 11, 2020
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar

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An Attentive Survey of Attention Models

Apr 05, 2019
Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal

* submitted to IJCAI 2019 Survey Track; 6 pages, 4 figures, 2 tables 

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Towards Deep and Representation Learning for Talent Search at LinkedIn

Sep 17, 2018
Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik

* This paper has been accepted for publication in ACM CIKM 2018 

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Deploying Deep Ranking Models for Search Verticals

Jun 06, 2018
Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou

* Published at the SysML Conference - 2018 

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Painting Analysis Using Wavelets and Probabilistic Topic Models

Jan 26, 2014
Tong Wu, Gungor Polatkan, David Steel, William Brown, Ingrid Daubechies, Robert Calderbank

* 5 pages, 4 figures, ICIP 2013 

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A Bayesian Nonparametric Approach to Image Super-resolution

Sep 22, 2012
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David Blei, Ingrid Daubechies

* 30 pages, 11 figures 

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Compressed Inference for Probabilistic Sequential Models

Feb 14, 2012
Gungor Polatkan, Oncel Tuzel

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