Gungor Polatkan
Title
Cited by
Cited by
Year
Deep learning with hierarchical convolutional factor analysis
B Chen, G Polatkan, G Sapiro, D Blei, D Dunson, L Carin
IEEE transactions on pattern analysis and machine intelligence 35 (8), 1887-1901, 2013
1142013
An attentive survey of attention models
S Chaudhari, G Polatkan, R Ramanath, V Mithal
arXiv preprint arXiv:1904.02874, 2019
782019
A Bayesian nonparametric approach to image super-resolution
G Polatkan, M Zhou, L Carin, D Blei, I Daubechies
IEEE transactions on pattern analysis and machine intelligence 37 (2), 346-358, 2014
772014
Detection of forgery in paintings using supervised learning
G Polatkan, S Jafarpour, A Brasoveanu, S Hughes, I Daubechies
2009 16th IEEE International Conference on Image Processing (ICIP), 2921-2924, 2009
652009
The hierarchical beta process for convolutional factor analysis and deep learning
B Chen, G Polatkan, G Sapiro, L Carin, DB Dunson
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
462011
Stylistic analysis of paintings usingwavelets and machine learning
S Jafarpour, G Polatkan, E Brevdo, S Hughes, A Brasoveanu, ...
2009 17th European Signal Processing Conference, 1220-1224, 2009
422009
Dependence of cooperative vehicle system performance on market penetration
SE Shladover, G Polatkan, R Sengupta, J VanderWerf, M Ergen, ...
Transportation research record 2000 (1), 121-127, 2007
212007
Towards deep and representation learning for talent search at LinkedIn
R Ramanath, H Inan, G Polatkan, B Hu, Q Guo, C Ozcaglar, X Wu, ...
Proceedings of the 27th ACM International Conference on Information and …, 2018
202018
Painting analysis using wavelets and probabilistic topic models
T Wu, G Polatkan, D Steel, W Brown, I Daubechies, R Calderbank
2013 IEEE International Conference on Image Processing, 3264-3268, 2013
92013
Social media data mining and analytics
G Szabo, G Polatkan, PO Boykin, A Chalkiopoulos
John Wiley & Sons, 2018
72018
Compressed inference for probabilistic sequential models
G Polatkan, O Tuzel
Uncertainty in Artificial Intelligence (UAI), 2011 Twenty-Seventh Annual …, 2011
52011
An attentive survey of attention models. arXiv 2019
S Chaudhari, G Polatkan, R Ramanath, V Mithal
arXiv preprint arXiv:1904.02874, 0
5
Learning to be Relevant: Evolution of a Course Recommendation System
S Rao, K Salomatin, G Polatkan, M Joshi, S Chaudhari, V Tcheprasov, ...
Proceedings of the 28th ACM International Conference on Information and …, 2019
22019
Deep neural network architecture for search
R Ramanath, G Polatkan, L Xu, B Hu, S Zhou, HH Lee
US Patent App. 15/941,314, 2019
22019
Method for determining compressed state sequences
CO Tuzel, G Polatkan
US Patent 8,405,531, 2013
22013
Generalized linear mixed models for generating recommendations
K Salomatin, G Polatkan
US Patent App. 16/020,384, 2020
12020
Deploying deep ranking models for search verticals
R Ramanath, G Polatkan, L Xu, H Lee, B Hu, S Zhou
SysML Conference, 2018
12018
Lambda Learner: Fast Incremental Learning on Data Streams
R Ramanath, K Salomatin, JD Gee, K Talanine, O Dalal, G Polatkan, ...
arXiv preprint arXiv:2010.05154, 2020
2020
Techniques for querying user profiles using neural networks
R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik
US Patent 10,795,897, 2020
2020
Standalone video classification
G Polatkan, MS Joshi, F Hedayati, B Bills
US Patent 10,740,621, 2020
2020
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