| Meta-learning with memory-augmented neural networks A Santoro, S Bartunov, M Botvinick, D Wierstra, T Lillicrap International conference on machine learning, 1842-1850, 2016 | 1123* | 2016 |
| Starcraft ii: A new challenge for reinforcement learning O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ... arXiv preprint arXiv:1708.04782, 2017 | 422 | 2017 |
| Breaking sticks and ambiguities with adaptive skip-gram S Bartunov, D Kondrashkin, A Osokin, D Vetrov artificial intelligence and statistics, 130-138, 2016 | 142 | 2016 |
| Joint link-attribute user identity resolution in online social networks S Bartunov, A Korshunov, ST Park, W Ryu, H Lee Proceedings of the 6th International Conference on Knowledge Discovery and …, 2012 | 133 | 2012 |
| Assessing the scalability of biologically-motivated deep learning algorithms and architectures S Bartunov, A Santoro, B Richards, L Marris, GE Hinton, T Lillicrap Advances in Neural Information Processing Systems, 9368-9378, 2018 | 90 | 2018 |
| Few-shot generative modelling with generative matching networks S Bartunov, D Vetrov International Conference on Artificial Intelligence and Statistics, 670-678, 2018 | 40* | 2018 |
| Идентификация пользователей социальных сетей в Интернет на основе социальных связей С Бартунов, А Коршунов Труды конференции по Анализу Изображений Сетей и Текстов (АИСТ), 2012 | 28 | 2012 |
| Meta-learning neural Bloom filters JW Rae, S Bartunov, TP Lillicrap arXiv preprint arXiv:1906.04304, 2019 | 13 | 2019 |
| Meta-learning deep energy-based memory models S Bartunov, JW Rae, S Osindero, TP Lillicrap arXiv preprint arXiv:1910.02720, 2019 | 8 | 2019 |
| Adaptive cardinality estimation O Ivanov, S Bartunov arXiv preprint arXiv:1711.08330, 2017 | 7 | 2017 |
| Learning representations in directed networks OU Ivanov, SO Bartunov International Conference on Analysis of Images, Social Networks and Texts …, 2015 | 6 | 2015 |
| WikifyMe: Creating Testbed for Wikifers. S Bartunov, A Boldakov, D Turdakov SYRCoDIS, 38-42, 2011 | 3 | 2011 |
| Augmenting Neural Networks with External Memory AA Santoro, DP Wierstra, TP Lillicrap, S Bartunov, I Danihelka US Patent App. 15/396,289, 2017 | 2 | 2017 |
| Adaptive query optimization in PostgreSQL O Ivanov, S Bartunov PGCon 2017 Conference, Ottawa, Canada, 2017 | 2 | 2017 |
| Variational inference for sequential distance dependent Chinese restaurant process S Bartunov, D Vetrov International Conference on Machine Learning, 1404-1412, 2014 | 2 | 2014 |
| Методы идентификации пользователей в онлайновых социальных сетях СО Бартунов СБОРНИК ТЕЗИСОВ ЛУЧШИХ ДИПЛОМНЫХ РАБОТ 2012 ГОДА, 138, 2012 | 1 | 2012 |
| Scalable and compressive neural network data storage system JW Rae, TP Lillicrap, S Bartunov US Patent App. 16/586,102, 2020 | | 2020 |
| 5TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2017-WORKSHOP TRACK PROCEEDINGS S Bartunov, DP Vetrov, A Chistyakov, E Lobacheva, A Kuznetsov, ... | | 2019 |
| 33RD INTERNATIONAL CONFERENCE ON MACHINE LEARNING, ICML 2016 W Hoiles, M Van Der Schaar, C Li, S Sra, S Jegelka, A Santoro, ... Meta 2630, 2651, 2016 | | 2016 |
| КОНФЕРЕНЦИЯ CJ Oates, M Girolami, H Tyagi, B Gärtner, A Krause, A Kyrillidis, ... Learning 56, 65, 2016 | | 2016 |
