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2020 – today
- 2021
[j3]Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath:
An Attentive Survey of Attention Models. ACM Trans. Intell. Syst. Technol. 12(5): 53:1-53:32 (2021)- [c8]Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar:
Lambda Learner: Fast Incremental Learning on Data Streams. KDD 2021: 3492-3502 - 2020
- [i7]Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar:
Lambda Learner: Fast Incremental Learning on Data Streams. CoRR abs/2010.05154 (2020)
2010 – 2019
- 2019
- [c7]Shivani Rao, Konstantin Salomatin, Gungor Polatkan, Mahesh Joshi, Sneha Chaudhari, Vladislav Tcheprasov, Jeffrey D. Gee, Deepak Kumar:
Learning to be Relevant: Evolution of a Course Recommendation System. CIKM 2019: 2625-2633 - [i6]Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal:
An Attentive Survey of Attention Models. CoRR abs/1904.02874 (2019) - 2018
- [c6]Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik:
Towards Deep and Representation Learning for Talent Search at LinkedIn. CIKM 2018: 2253-2261 - [i5]Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou:
Deploying Deep Ranking Models for Search Verticals. CoRR abs/1806.02281 (2018) - [i4]Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik:
Towards Deep and Representation Learning for Talent Search at LinkedIn. CoRR abs/1809.06473 (2018) - 2015
- [j2]Gungor Polatkan, Mingyuan Zhou, Lawrence Carin
, David M. Blei, Ingrid Daubechies:
A Bayesian Nonparametric Approach to Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 346-358 (2015) - 2014
- [i3]Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank:
Painting Analysis Using Wavelets and Probabilistic Topic Models. CoRR abs/1401.6638 (2014) - 2013
- [j1]Bo Chen, Gungor Polatkan, Guillermo Sapiro, David M. Blei, David B. Dunson, Lawrence Carin:
Deep Learning with Hierarchical Convolutional Factor Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(8): 1887-1901 (2013) - [c5]Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank:
Painting analysis using wavelets and probabilistic topic models. ICIP 2013: 3264-3268 - 2012
- [b1]Gungor Polatkan:
Extracting Information from High-Dimensional Data: Probabilistic Modeling, Inference and Evaluation. Princeton University, USA, 2012 - [i2]Gungor Polatkan, Oncel Tuzel:
Compressed Inference for Probabilistic Sequential Models. CoRR abs/1202.3759 (2012) - [i1]Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies:
A Bayesian Nonparametric Approach to Image Super-resolution. CoRR abs/1209.5019 (2012) - 2011
- [c4]Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin:
The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. ICML 2011: 361-368 - [c3]Gungor Polatkan, Oncel Tuzel:
Compressed Inference for Probabilistic Sequential Models. UAI 2011: 609-618
2000 – 2009
- 2009
- [c2]Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies:
Stylistic analysis of paintings usingwavelets and machine learning. EUSIPCO 2009: 1220-1224 - [c1]Gungor Polatkan, Sina Jafarpour, Andrei Brasoveanu, Shannon M. Hughes, Ingrid Daubechies:
Detection of forgery in paintings using supervised learning. ICIP 2009: 2921-2924
Coauthor Index
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