| 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 | 406 | 2023 |
| Diverse mini-batch active learning F Zhdanov arXiv preprint arXiv:1901.05954, 2019 | 168 | 2019 |
| 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 | 145 | 2020 |
| Prediction with expert advice for the Brier game V Vovk, F Zhdanov Proceedings of the 25th international conference on Machine learning, 1104-1111, 2008 | 75 | 2008 |
| 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 Muñoz …, 2023 | 67 | 2023 |
| Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Muñoz 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 (3.5), 1, 2023 | 54 | 2023 |
| Prediction with expert advice under discounted loss A Chernov, F Zhdanov International Conference on Algorithmic Learning Theory, 255-269, 2010 | 39 | 2010 |
| An identity for kernel ridge regression F Zhdanov, Y Kalnishkan Theoretical Computer Science 473, 157-178, 2013 | 31 | 2013 |
| Supermartingales in prediction with expert advice A Chernov, Y Kalnishkan, F Zhdanov, V Vovk Theoretical Computer Science 411 (29-30), 2647-2669, 2010 | 24 | 2010 |
| 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 | 17 | 2008 |
| 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 | 16 | 2021 |
| 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 | 13 | 2022 |
| Competitive online generalized linear regression under square loss F Zhdanov, V Vovk Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010 | 12 | 2010 |
| Danish Contractor, Siva Reddy, Daniel Fried, Dzmitry Bahdanau, Yacine Jernite, Carlos Munoz 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 | 7 | 2023 |
| 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, 2023 | 7 | 2023 |
| Theory and applications of competitive prediction F Zhdanov Royal Holloway, University of London, 2011 | 7 | 2011 |
| Cluster-based demand forecasting procedure F Zhdanov, KEJ Torkkola US Patent 10,489,802, 2019 | 6 | 2019 |
| Competing with Gaussian linear experts F Zhdanov, V Vovk arXiv preprint arXiv:0910.4683, 2009 | 6 | 2009 |
| Supermartingales in prediction with expert advice A Chernov, Y Kalnishkan, F Zhdanov, V Vovk Algorithmic Learning Theory: 19th International Conference, ALT 2008 …, 2008 | 6 | 2008 |
| Diverse Mini-Batch Active Learning. 2019 F Zhdanov URL: http://arxiv. org/abs/1901.05954 (visited on 04/11/2023). preprint, 1901 | 5 | 1901 |
Vladimir VovkDepartment of Computer Science, Royal Holloway, University of London在 rhul.ac.uk 的电子邮件经过验证
