Gungor Polatkan

According to our database, Gungor Polatkan authored at least 13 papers between 2009 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

An Attentive Survey of Attention Models.

Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath

ACM Trans. Intell. Syst. Technol., 2021

Lambda Learner: Fast Incremental Learning on Data Streams.

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

Learning to be Relevant: Evolution of a Course Recommendation System.

Shivani Rao, Konstantin Salomatin, Gungor Polatkan, Mahesh Joshi, Sneha Chaudhari, Vladislav Tcheprasov, Jeffrey D. Gee, Deepak Kumar

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Deploying Deep Ranking Models for Search Verticals.

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

CoRR, 2018

Towards Deep and Representation Learning for Talent Search at LinkedIn.

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

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2015

A Bayesian Nonparametric Approach to Image Super-Resolution.

Gungor Polatkan, Mingyuan Zhou, Lawrence Carin, David M. Blei, Ingrid Daubechies

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2013

Deep Learning with Hierarchical Convolutional Factor Analysis.

Bo Chen, Gungor Polatkan, Guillermo Sapiro, David M. Blei, David B. Dunson, Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Painting analysis using wavelets and probabilistic topic models.

Tong Wu, Gungor Polatkan, David Steel, William P. Brown, Ingrid Daubechies, A. Robert Calderbank

Proceedings of the IEEE International Conference on Image Processing, 2013

2012

Extracting Information from High-Dimensional Data: Probabilistic Modeling, Inference and Evaluation

Gungor Polatkan

PhD thesis, 2012

2011

Compressed Inference for Probabilistic Sequential Models.

Gungor Polatkan, Oncel Tuzel

Proceedings of the UAI 2011, 2011

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning.

Bo Chen, Gungor Polatkan, Guillermo Sapiro, David B. Dunson, Lawrence Carin

Proceedings of the 28th International Conference on Machine Learning, 2011

2009

Detection of forgery in paintings using supervised learning.

Gungor Polatkan, Sina Jafarpour, Andrei Brasoveanu, Shannon M. Hughes, Ingrid Daubechies

Proceedings of the International Conference on Image Processing, 2009

Stylistic analysis of paintings usingwavelets and machine learning.

Sina Jafarpour, Gungor Polatkan, Eugene Brevdo, Shannon M. Hughes, Andrei Brasoveanu, Ingrid Daubechies

Proceedings of the 17th European Signal Processing Conference, 2009