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Fedor Zhdanov
Fedor Zhdanov
Machine Learning Researcher
Verified email at rhul.ac.uk
Title
Cited by
Cited by
Year
Starcoder: may the source be with you!
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
arXiv preprint arXiv:2305.06161, 2023
2742023
Diverse mini-batch active learning
F Zhdanov
arXiv preprint arXiv:1901.05954, 2019
1632019
Rethinking zero-shot video classification: End-to-end training for realistic applications
B Brattoli, J Tighe, F Zhdanov, P Perona, K Chalupka
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1402020
Prediction with expert advice for the Brier game
V Vovk, F Zhdanov
Proceedings of the 25th international conference on Machine learning, 1104-1111, 2008
762008
Danish Contractor
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muņoz …, 2023
502023
Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muņoz Ferrandis, Sean Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
Starcoder: may the source be with you 3 (6), 2023
452023
Prediction with expert advice under discounted loss
A Chernov, F Zhdanov
International Conference on Algorithmic Learning Theory, 255-269, 2010
372010
An identity for kernel ridge regression
F Zhdanov, Y Kalnishkan
Theoretical Computer Science 473, 157-178, 2013
282013
Supermartingales in prediction with expert advice
A Chernov, Y Kalnishkan, F Zhdanov, V Vovk
Theoretical Computer Science 411 (29-30), 2647-2669, 2010
242010
Analyses of ITER operation mode using the support vector machine technique for plasma discharge classification
AA Lukianitsa, FM Zhdanov, FS Zaitsev
Plasma Physics and Controlled Fusion 50 (6), 065013, 2008
172008
Active learning loop-based data labeling service
F Zhdanov, S Joshi, S Srivastava, R Sharma, P Perona, S Chejerla
US Patent 11,048,979, 2021
152021
Adjusting confidence thresholds based on review and ML outputs
F Zhdanov, SV Joshi, P Sharma, AV Shinkorenko, W Barkley, S Stefani, ...
US Patent 11,501,210, 2022
122022
Competitive online generalized linear regression under square loss
F Zhdanov, V Vovk
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
122010
Theory and applications of competitive prediction
F Zhdanov
Royal Holloway, University of London, 2011
72011
Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muņoz Ferrandis, Sean M
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
Hughes, Thomas Wolf, Arjun Guha, Leandro von Werra, and Harm de Vries …, 2023
62023
Cluster-based demand forecasting procedure
F Zhdanov, KEJ Torkkola
US Patent 10,489,802, 2019
62019
Competing with Gaussian linear experts
F Zhdanov, V Vovk
arXiv preprint arXiv:0910.4683, 2009
62009
Supermartingales in prediction with expert advice
A Chernov, Y Kalnishkan, F Zhdanov, V Vovk
Algorithmic Learning Theory: 19th International Conference, ALT 2008 …, 2008
62008
Starcoder: may the source be with you!(2023)
R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ...
arXiv preprint arXiv:2305.06161, 0
6
Exploiting invariance in training deep neural networks
C Ye, X Zhou, T McKinney, Y Liu, Q Zhou, F Zhdanov
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8849-8856, 2022
52022
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Articles 1–20