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Exploiting Invariance in Training Deep Neural Networks

Mar 30, 2021
Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov

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Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

Mar 10, 2020
Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, Krzysztof Chalupka

* Accepted for publication at CVPR 2020 

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Diverse mini-batch Active Learning

Jan 17, 2019
Fedor Zhdanov

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An Identity for Kernel Ridge Regression

Dec 06, 2011
Fedor Zhdanov, Yuri Kalnishkan

* 35 pages; extended version of ALT 2010 paper (Proceedings of ALT 2010, LNCS 6331, Springer, 2010) 

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Prediction with Expert Advice under Discounted Loss

Jun 04, 2010
Alexey Chernov, Fedor Zhdanov

* 26 pages; expanded (2 remarks -> theorems), some misprints corrected 

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Competing with Gaussian linear experts

May 10, 2010
Fedor Zhdanov, Vladimir Vovk

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Supermartingales in Prediction with Expert Advice

Mar 10, 2010
Alexey Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk

* 37 pages 

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Aggregating Algorithm competing with Banach lattices

Feb 03, 2010
Fedor Zhdanov, Alexey Chernov, Yuri Kalnishkan

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Linear Probability Forecasting

Jan 06, 2010
Fedor Zhdanov, Yuri Kalnishkan

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Online prediction of ovarian cancer

Apr 09, 2009
Fedor Zhdanov, Vladimir Vovk, Brian Burford, Dmitry Devetyarov, Ilia Nouretdinov, Alex Gammerman

* 11 pages, 4 figures, uses llncs.cls 

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Prediction with expert advice for the Brier game

Jun 27, 2008
Vladimir Vovk, Fedor Zhdanov

* Journal of Machine Learning Research 10 (2009), 2413 - 2440 
* 34 pages, 22 figures, 2 tables. The conference version (8 pages) is published in the ICML 2008 Proceedings 

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