Gungor Polatkan

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 8

Top Topics

Hyperparameters

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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)
Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath
An Attentive Survey of Attention Models. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
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 (2020)
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)
Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal
An Attentive Survey of Attention Models. CoRR (2019)
Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou
Deploying Deep Ranking Models for Search Verticals. CoRR (2018)
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 (2018)
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)
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) (2015)
Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank
Painting Analysis Using Wavelets and Probabilistic Topic Models. CoRR (2014)
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) (2013)
Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank
Painting analysis using wavelets and probabilistic topic models. ICIP (2013)
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies
A Bayesian Nonparametric Approach to Image Super-resolution CoRR (2012)
Gungor Polatkan, Oncel Tuzel
Compressed Inference for Probabilistic Sequential Models CoRR (2012)
Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin
The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning. ICML (2011)
Gungor Polatkan, Oncel Tuzel
Compressed Inference for Probabilistic Sequential Models. UAI (2011)
Gungor Polatkan, Sina Jafarpour, Andrei Brasoveanu, Shannon M. Hughes, Ingrid Daubechies
Detection of forgery in paintings using supervised learning. ICIP (2009)
Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies
Stylistic analysis of paintings usingwavelets and machine learning. EUSIPCO (2009)