Gungor Polatkan

According to our database1, Gungor Polatkan authored at least 13 papers between 2009 and 2021.

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Bibliography

2021
An Attentive Survey of Attention Models.
ACM Trans. Intell. Syst. Technol., 2021

Lambda Learner: Fast Incremental Learning on Data Streams.
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.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Deploying Deep Ranking Models for Search Verticals.
CoRR, 2018

Towards Deep and Representation Learning for Talent Search at LinkedIn.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2015
A Bayesian Nonparametric Approach to Image Super-Resolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

2013
Deep Learning with Hierarchical Convolutional Factor Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Painting analysis using wavelets and probabilistic topic models.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Extracting Information from High-Dimensional Data: Probabilistic Modeling, Inference and Evaluation
PhD thesis, 2012

2011
Compressed Inference for Probabilistic Sequential Models.
Proceedings of the UAI 2011, 2011

The Hierarchical Beta Process for Convolutional Factor Analysis and Deep Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

2009
Detection of forgery in paintings using supervised learning.
Proceedings of the International Conference on Image Processing, 2009

Stylistic analysis of paintings usingwavelets and machine learning.
Proceedings of the 17th European Signal Processing Conference, 2009


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