| Debiasing model updates for improving personalized federated training DAE Acar, Y Zhao, R Zhu, R Matas, M Mattina, P Whatmough, ... International conference on machine learning, 21-31, 2021 | 58 | 2021 |
| Memory efficient online meta learning DAE Acar, R Zhu, V Saligrama International Conference on Machine Learning, 32-42, 2021 | 19 | 2021 |
| SelfD: Self-learning large-scale driving policies from the web J Zhang, R Zhu, E Ohn-Bar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 11 | 2022 |
| Low Dimensional Visual Attributes: An Interpretable Image Encoding P Zhu, R Zhu, S Mishra, V Saligrama Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 3 | 2021 |
| Learning to Drive Anywhere R Zhu, P Huang, E Ohn-Bar, V Saligrama Conference on Robot Learning (CoRL) 2023, 2023 | 1 | 2023 |
| Fine-grained Few-shot Recognition by Deep Object Parsing R Zhu, P Zhu, S Mishra, V Saligrama British Machine Vision Conference (BMVC) 2023, 2022 | | 2022 |
| Numerical Experiments on Distributed TD(0) with Local State R Zhu, Q Ma, R Liu | | 2021 |
| Differential pose estimation R Zhu Brown University, 2019 | | 2019 |
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
