| StarCoder: may the source be with you! 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 | 1005* | 2023 |
| Diverse mini-batch active learning F Zhdanov arXiv preprint arXiv:1901.05954, 2019 | 202 | 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 | 173 | 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 |
| Prediction with expert advice under discounted loss A Chernov, F Zhdanov International Conference on Algorithmic Learning Theory, 255-269, 2010 | 40 | 2010 |
| An identity for kernel ridge regression F Zhdanov, Y Kalnishkan Theoretical Computer Science 473, 157-178, 2013 | 37 | 2013 |
| Introducing v0. 5 of the ai safety benchmark from mlcommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024 | 31 | 2024 |
| Supermartingales in prediction with expert advice A Chernov, Y Kalnishkan, F Zhdanov, V Vovk Theoretical Computer Science 411 (29-30), 2647-2669, 2010 | 25 | 2010 |
| 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 | 18 | 2021 |
| 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 | 18 | 2008 |
| 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 | 16 | 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 |
| Cluster-based demand forecasting procedure F Zhdanov, KEJ Torkkola US Patent 10,489,802, 2019 | 9 | 2019 |
| Theory and applications of competitive prediction F Zhdanov Royal Holloway, University of London, 2011 | 7 | 2011 |
| Competing with Gaussian linear experts F Zhdanov, V Vovk arXiv preprint arXiv:0910.4683, 2009 | 7 | 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 |
| 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 | 5 | 2022 |
| Linear probability forecasting F Zhdanov, Y Kalnishkan Artificial Intelligence Applications and Innovations: 6th IFIP WG 12.5 …, 2010 | 4 | 2010 |
| Online prediction of ovarian cancer F Zhdanov, V Vovk, B Burford, D Devetyarov, I Nouretdinov, ... Artificial Intelligence in Medicine: 12th Conference on Artificial …, 2009 | 4 | 2009 |
| Aggregating Algorithm competing with Banach lattices F Zhdanov, A Chernov, Y Kalnishkan arXiv preprint arXiv:1002.0709, 2010 | 3 | 2010 |
Vladimir VovkDepartment of Computer Science, Royal Holloway, University of LondonVerified email at rhul.ac.uk