| 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 | 2837 | 2019 |
| 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 | 820 | 2017 |
| 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 | 536 | 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 | 467 | 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 | 363 | 2015 |
| Can deep learning revolutionize mobile sensing? ND Lane, P Georgiev Proceedings of the 16th international workshop on mobile computing systems …, 2015 | 323 | 2015 |
| 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 | 250 | 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 | 201 | 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 | 74 | 2014 |
| 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 | 67 | 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 | 58 | 2017 |
| 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 | 50 | 2014 |
| 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 | 49 | 2014 |
| Imitating interactive intelligence J Abramson, A Ahuja, I Barr, A Brussee, F Carnevale, M Cassin, ... arXiv preprint arXiv:2012.05672, 2020 | 45 | 2020 |
| Accelerating mobile audio sensing algorithms through on-chip gpu offloading P Georgiev, ND Lane, C Mascolo, D Chu Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017 | 25 | 2017 |
| ZOE: A cloud-less dialog-enabled continuous sensing wearable exploiting heterogeneous computation ND Lane, P Georgiev, C Mascolo, Y Gao Proceedings of the 13th Annual International Conference on Mobile Systems …, 2015 | 25 | 2015 |
| Video game streaming for spectating S Agarwal, S Saroiu, A Wolman, LR Sivalingam, E Cuervo, P Bahl, ... US Patent App. 15/055,509, 2017 | 18 | 2017 |
| Accelerated deep learning inference for embedded and wearable devices using DeepX ND Lane, S Bhattacharya, P Georgiev, C Forlivesi, F Kawsar Proceedings of the 14th annual international conference on mobile systems …, 2016 | 15 | 2016 |
| 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 | 13 | 2021 |
| A multi-view content-based user recommendation scheme for following users in twitter M Chechev, P Georgiev Social Informatics: 4th International Conference, SocInfo 2012, Lausanne …, 2012 | 13 | 2012 |
Nicholas LaneUniversity of Cambridge and Samsung AIVerified email at cam.ac.uk
