| Unsupervised pixel-level domain adaptation with generative adversarial networks K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1990 | 2017 |
| Domain separation networks K Bousmalis, G Trigeorgis, N Silberman, D Krishnan, D Erhan Advances in neural information processing systems 29, 2016 | 1805 | 2016 |
| Using simulation and domain adaptation to improve efficiency of deep robotic grasping K Bousmalis, A Irpan, P Wohlhart, Y Bai, M Kelcey, M Kalakrishnan, ... 2018 IEEE international conference on robotics and automation (ICRA), 4243-4250, 2018 | 783 | 2018 |
| Sim-to-real via sim-to-sim: Data-efficient robotic grasping via randomized-to-canonical adaptation networks S James, P Wohlhart, M Kalakrishnan, D Kalashnikov, A Irpan, J Ibarz, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 552 | 2019 |
| A deep matrix factorization method for learning attribute representations G Trigeorgis, K Bousmalis, S Zafeiriou, BW Schuller IEEE transactions on pattern analysis and machine intelligence 39 (3), 417-429, 2016 | 357 | 2016 |
| A deep semi-nmf model for learning hidden representations G Trigeorgis, K Bousmalis, S Zafeiriou, B Schuller International conference on machine learning, 1692-1700, 2014 | 232 | 2014 |
| Unsupervised multi-target domain adaptation: An information theoretic approach B Gholami, P Sahu, O Rudovic, K Bousmalis, V Pavlovic IEEE Transactions on Image Processing 29, 3993-4002, 2020 | 215 | 2020 |
| Xgan: Unsupervised image-to-image translation for many-to-many mappings A Royer, K Bousmalis, S Gouws, F Bertsch, I Mosseri, F Cole, K Murphy Domain Adaptation for Visual Understanding, 33-49, 2020 | 159 | 2020 |
| 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 | 114* | 2023 |
| Spotting agreement and disagreement: A survey of nonverbal audiovisual cues and tools K Bousmalis, M Mehu, M Pantic 2009 3rd international conference on affective computing and intelligent …, 2009 | 107 | 2009 |
| Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools K Bousmalis, M Mehu, M Pantic Image and vision computing 31 (2), 203-221, 2013 | 106 | 2013 |
| Beyond pick-and-place: Tackling robotic stacking of diverse shapes AX Lee, CM Devin, Y Zhou, T Lampe, K Bousmalis, JT Springenberg, ... 5th Annual Conference on Robot Learning, 2021 | 105 | 2021 |
| Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition K Bousmalis, LP Morency, M Pantic 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011 | 79 | 2011 |
| Self-supervised sim-to-real adaptation for visual robotic manipulation R Jeong, Y Aytar, D Khosid, Y Zhou, J Kay, T Lampe, K Bousmalis, F Nori 2020 IEEE international conference on robotics and automation (ICRA), 2718-2724, 2020 | 69 | 2020 |
| Off-policy evaluation via off-policy classification A Irpan, K Rao, K Bousmalis, C Harris, J Ibarz, S Levine Advances in Neural Information Processing Systems 32, 2019 | 61 | 2019 |
| Infinite Hidden Conditional Random Fields for Human Behavior Analysis K Bousmalis, S Zafeiriou, LP Morency, M Pantic IEEE Transactions in Neural Networks and Learning Systems, 1-1, 2013 | 58 | 2013 |
| Transforming source domain images into target domain images K Bousmalis, N Silberman, DM Dohan, D Erhan, D Krishnan US Patent 10,991,074, 2021 | 35 | 2021 |
| On multi-objective policy optimization as a tool for reinforcement learning A Abdolmaleki, SH Huang, G Vezzani, B Shahriari, JT Springenberg, ... arXiv preprint arXiv:2106.08199, 2021 | 20 | 2021 |
| How to spend your robot time: Bridging kickstarting and offline reinforcement learning for vision-based robotic manipulation AX Lee, C Devin, JT Springenberg, Y Zhou, T Lampe, A Abdolmaleki, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 19 | 2022 |
| Learning coordinated terrain-adaptive locomotion by imitating a centroidal dynamics planner P Brakel, S Bohez, L Hasenclever, N Heess, K Bousmalis 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 19 | 2022 |
Dumitru ErhanDirector of Research @ Google DeepMindZweryfikowany adres z google.com
