| Grandmaster level in StarCraft II using multi-agent reinforcement learning O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ... nature 575 (7782), 350-354, 2019 | 5079 | 2019 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2480 | 2023 |
| 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 | 1145 | 2017 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 971 | 2024 |
| Deepx: A software accelerator for low-power deep learning inference on mobile devices ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, L Jiao, L Qendro, ... 2016 15th ACM/IEEE International Conference on Information Processing in …, 2016 | 673 | 2016 |
| Alphastar: Mastering the real-time strategy game starcraft ii O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ... DeepMind blog 2, 20, 2019 | 574 | 2019 |
| Deepear: robust smartphone audio sensing in unconstrained acoustic environments using deep learning ND Lane, P Georgiev, L Qendro Proceedings of the 2015 ACM international joint conference on pervasive and …, 2015 | 429 | 2015 |
| Can deep learning revolutionize mobile sensing? ND Lane, P Georgiev Proceedings of the 16th international workshop on mobile computing systems …, 2015 | 360 | 2015 |
| Gemma 2: Improving open language models at a practical size G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ... arXiv preprint arXiv:2408.00118, 2024 | 318 | 2024 |
| An early resource characterization of deep learning on wearables, smartphones and internet-of-things devices ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, F Kawsar Proceedings of the 2015 international workshop on internet of things towards …, 2015 | 292 | 2015 |
| Squeezing deep learning into mobile and embedded devices ND Lane, S Bhattacharya, A Mathur, P Georgiev, C Forlivesi, F Kawsar IEEE Pervasive Computing 16 (3), 82-88, 2017 | 251 | 2017 |
| A data-driven approach for learning to control computers PC Humphreys, D Raposo, T Pohlen, G Thornton, R Chhaparia, A Muldal, ... International Conference on Machine Learning, 9466-9482, 2022 | 108 | 2022 |
| LEO: Scheduling sensor inference algorithms across heterogeneous mobile processors and network resources P Georgiev, ND Lane, KK Rachuri, C Mascolo Proceedings of the 22nd Annual International Conference on Mobile Computing …, 2016 | 87 | 2016 |
| Low-resource multi-task audio sensing for mobile and embedded devices via shared deep neural network representations P Georgiev, S Bhattacharya, ND Lane, C Mascolo Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2017 | 85 | 2017 |
| Dsp. ear: Leveraging co-processor support for continuous audio sensing on smartphones P Georgiev, ND Lane, KK Rachuri, C Mascolo Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014 | 83 | 2014 |
| Imitating interactive intelligence J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2012.05672, 2020 | 75 | 2020 |
| The Call of the Crowd: Event Participation in Location-based Social Services P Georgiev, A Noulas, C Mascolo Proceedings of the 8th International AAAI Conference on Weblogs and Social …, 2014 | 55 | 2014 |
| Where businesses thrive: Predicting the impact of the olympic games on local retailers through location-based services data P Georgiev, A Noulas, C Mascolo Proceedings of the 8th International AAAI Conference on Weblogs and Social …, 2014 | 54 | 2014 |
| Creating multimodal interactive agents with imitation and self-supervised learning DMIA Team, J Abramson, A Ahuja, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2112.03763, 2021 | 47 | 2021 |
| Video game streaming for spectating S Agarwal, S Saroiu, A Wolman, LR Sivalingam, E Cuervo, P Bahl, ... US Patent App. 15/055,509, 2017 | 38 | 2017 |
Nicholas LaneUniversity of Cambridge and Flower LabsCorreu electrònic verificat a cam.ac.uk
