| Sequential Monte Carlo methods in practice A Doucet, N De Freitas, N Gordon Springer Verlag, 2001 | 11856* | 2001 |
| Taking the human out of the loop: A review of Bayesian optimization B Shahriari, K Swersky, Z Wang, RP Adams, N De Freitas Proceedings of the IEEE 104 (1), 148-175, 2015 | 5796 | 2015 |
| Dueling network architectures for deep reinforcement learning Z Wang, T Schaul, M Hessel, H Hasselt, M Lanctot, N Freitas International conference on machine learning, 1995-2003, 2016 | 5351 | 2016 |
| An introduction to MCMC for machine learning C Andrieu, N De Freitas, A Doucet, MI Jordan Machine learning 50, 5-43, 2003 | 3659 | 2003 |
| A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning E Brochu, VM Cora, N De Freitas arXiv preprint arXiv:1012.2599, 2010 | 3477 | 2010 |
| The unscented particle filter R Van Der Merwe, A Doucet, N De Freitas, E Wan Advances in neural information processing systems 13, 2000 | 2559 | 2000 |
| Learning to learn by gradient descent by gradient descent M Andrychowicz, M Denil, S Gomez, MW Hoffman, D Pfau, T Schaul, ... Advances in neural information processing systems 29, 2016 | 2443 | 2016 |
| Object recognition as machine translation: learning a lexicon for a fixed image vocabulary Leture Noyes in Computer Science P Duygulu, K Barnard, JFG de Freitas Heidelberg: Springer 23 (53), 97-112, 2002 | 2334* | 2002 |
| Learning to communicate with deep multi-agent reinforcement learning J Foerster, IA Assael, N De Freitas, S Whiteson Advances in neural information processing systems 29, 2016 | 2151 | 2016 |
| Matching words and pictures K Barnard, P Duygulu, D Forsyth, N De Freitas, DM Blei, MI Jordan The Journal of Machine Learning Research 3, 1107-1135, 2003 | 2115 | 2003 |
| Rao-Blackwellised particle filtering for dynamic Bayesian networks K Murphy, S Russell Sequential Monte Carlo methods in practice, 499-515, 2001 | 2092 | 2001 |
| Predicting parameters in deep learning M Denil, B Shakibi, L Dinh, MA Ranzato, N De Freitas Advances in neural information processing systems 26, 2013 | 1669 | 2013 |
| A boosted particle filter: Multitarget detection and tracking K Okuma, A Taleghani, N De Freitas, JJ Little, DG Lowe Computer Vision-ECCV 2004: 8th European Conference on Computer Vision …, 2004 | 1572 | 2004 |
| Sample efficient actor-critic with experience replay Z Wang, V Bapst, N Heess, V Mnih, R Munos, K Kavukcuoglu, ... arXiv preprint arXiv:1611.01224, 2016 | 1043 | 2016 |
| Competition-level code generation with alphacode Y Li, D Choi, J Chung, N Kushman, J Schrittwieser, R Leblond, T Eccles, ... Science 378 (6624), 1092-1097, 2022 | 1003 | 2022 |
| A generalist agent S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ... arXiv preprint arXiv:2205.06175, 2022 | 930 | 2022 |
| Bayesian optimization in a billion dimensions via random embeddings Z Wang, F Hutter, M Zoghi, D Matheson, N De Feitas Journal of Artificial Intelligence Research 55, 361-387, 2016 | 871 | 2016 |
| Social influence as intrinsic motivation for multi-agent deep reinforcement learning N Jaques, A Lazaridou, E Hughes, C Gulcehre, P Ortega, DJ Strouse, ... International conference on machine learning, 3040-3049, 2019 | 543 | 2019 |
| Neural programmer-interpreters S Reed, N De Freitas arXiv preprint arXiv:1511.06279, 2015 | 541 | 2015 |
| Lipnet: End-to-end sentence-level lipreading YM Assael, B Shillingford, S Whiteson, N De Freitas arXiv preprint arXiv:1611.01599, 2016 | 483 | 2016 |
Ziyu WangDeepmind確認したメール アドレス: google.com
