| Meta-learning with latent embedding optimization AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ... International Conference on Learning Representations (ICLR), 2019 | 1669 | 2019 |
| Vote3deep: Fast object detection in 3d point clouds using efficient convolutional neural networks M Engelcke, D Rao, DZ Wang, CH Tong, I Posner 2017 IEEE International Conference on Robotics and Automation (ICRA), 1355-1361, 2017 | 701 | 2017 |
| Embracing change: Continual learning in deep neural networks R Hadsell, D Rao, AA Rusu, R Pascanu Trends in cognitive sciences 24 (12), 1028-1040, 2020 | 544 | 2020 |
| Continual unsupervised representation learning D Rao, F Visin, A Rusu, R Pascanu, YW Teh, R Hadsell Advances in Neural Information Processing Systems, 7647-7657, 2019 | 312 | 2019 |
| Large-scale cost function learning for path planning using deep inverse reinforcement learning M Wulfmeier, D Rao, DZ Wang, P Ondruska, I Posner The International Journal of Robotics Research 36 (10), 1073-1087, 2017 | 205 | 2017 |
| Large-scale path planning for underwater gliders in ocean currents D Rao, SB Williams Australasian conference on robotics and automation (ACRA), 2-4, 2009 | 145 | 2009 |
| Deep tracking in the wild: End-to-end tracking using recurrent neural networks J Dequaire, P Ondrúška, D Rao, D Wang, I Posner The International Journal of Robotics Research 37 (4-5), 492-512, 2018 | 131 | 2018 |
| Robocat: A self-improving generalist agent for robotic manipulation K Bousmalis, G Vezzani, D Rao, CM Devin, AX Lee, MB Villalonga, ... Transactions on Machine Learning Research, 2023 | 102* | 2023 |
| Data-efficient hindsight off-policy option learning M Wulfmeier, D Rao, R Hafner, T Lampe, A Abdolmaleki, T Hertweck, ... International Conference on Machine Learning, 11340-11350, 2021 | 51 | 2021 |
| Learn from experience: Probabilistic prediction of perception performance to avoid failure C Gurău, D Rao, CH Tong, I Posner The International Journal of Robotics Research 37 (9), 981-995, 2018 | 45 | 2018 |
| Resource-performance tradeoff analysis for mobile robots M Lahijanian, M Svorenova, AA Morye, B Yeomans, D Rao, I Posner, ... IEEE Robotics and Automation Letters 3 (3), 1840-1847, 2018 | 41* | 2018 |
| Multimodal learning and inference from visual and remotely sensed data D Rao, M De Deuge, N Nourani–Vatani, SB Williams, O Pizarro The International Journal of Robotics Research 36 (1), 24-43, 2017 | 41 | 2017 |
| CurveSLAM: An approach for vision-based navigation without point features D Rao, SJ Chung, S Hutchinson 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 36 | 2012 |
| Deep tracking on the move: Learning to track the world from a moving vehicle using recurrent neural networks J Dequaire, D Rao, P Ondruska, D Wang, I Posner arXiv preprint arXiv:1609.09365, 2016 | 32 | 2016 |
| Learning transferable motor skills with hierarchical latent mixture policies D Rao, F Sadeghi, L Hasenclever, M Wulfmeier, M Zambelli, G Vezzani, ... arXiv preprint arXiv:2112.05062, 2021 | 30 | 2021 |
| Hierarchical classification in AUV imagery MS Bewley, N Nourani-Vatani, D Rao, B Douillard, O Pizarro, SB Williams Field and service robotics: Results of the 9th International Conference, 3-16, 2015 | 30 | 2015 |
| Monocular vision based navigation in GPS-denied riverine environments J Yang, D Rao, SJ Chung, S Hutchinson Infotech@ Aerospace 2011, 1403, 2011 | 30 | 2011 |
| A neural network and method of using a neural network to detect objects in an environment M Engelcke, D Rao, DZ Wang, CH Tong, I Posner US Patent App. 16/334,815, 2020 | 21 | 2020 |
| Attention-privileged reinforcement learning S Salter, D Rao, M Wulfmeier, R Hadsell, I Posner arXiv preprint arXiv:1911.08363, 2019 | 21* | 2019 |
| Task-agnostic continual learning with hybrid probabilistic models P Kirichenko, M Farajtabar, D Rao, B Lakshminarayanan, N Levine, A Li, ... arXiv preprint arXiv:2106.12772, 2021 | 20 | 2021 |
Ingmar PosnerOxford UniversityVerified email at robots.ox.ac.uk
