| A deep learning approach to IoT authentication R Das, A Gadre, S Zhang, S Kumar, JMF Moura 2018 IEEE international conference on communications (ICC), 1-6, 2018 | 138 | 2018 |
| On the importance of distractors for few-shot classification R Das, YX Wang, JMF Moura Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 39 | 2021 |
| Learning expressive prompting with residuals for vision transformers R Das, Y Dukler, A Ravichandran, A Swaminathan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Fast non-blind image deblurring with sparse priors R Das, A Bajpai, SM Venkatesan Proceedings of International Conference on Computer Vision and Image …, 2017 | 8 | 2017 |
| Regularizing Self-training for Unsupervised Domain Adaptation via Structural Constraints R Das, J Francis, SV Mehta, J Oh, E Strubell, J Moura arXiv preprint arXiv:2305.00131, 2023 | 1 | 2023 |
| Learning In The Wild With Limited Supervision R Das Carnegie Mellon University, 2023 | | 2023 |
| Unsupervised Domain Adaptation Via Pseudo-labels And Objectness Constraints R Das, J Francis, SV Mehta, J Oh, E Strubell, J Moura | | |
| On the Importance of Distractors for Few-Shot Classification (Supplementary) R Das, YX Wang, JMF Moura | | |
Jose M. F. MouraPhilip L. and Marsha Dowd University Professor, Carnegie Mellon University在 ece.cmu.edu 的电子邮件经过验证
