| Generalized Zero-and Few-Shot Learning via Aligned Variational Autoencoders E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata Conference on Computer Vision and Pattern Recognition 2019, 2018 | 103 | 2018 |
| Variational adversarial active learning S Sinha, S Ebrahimi, T Darrell Proceedings of the IEEE International Conference on Computer Vision, 5972-5981, 2019 | 41 | 2019 |
| Compositional GAN: Learning Image-Conditional Binary Composition S Azadi, D Pathak, S Ebrahimi, T Darrell arXiv preprint arXiv:1807.07560, 2018 | 22 | 2018 |
| Uncertainty-guided continual learning with bayesian neural networks S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach arXiv preprint arXiv:1906.02425, 2019 | 20 | 2019 |
| WiCV 2019: The Sixth Women In Computer Vision Workshop I Amerini, E Balashova, S Ebrahimi, K Leonard, A Nagrani, A Salvador Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 18* | 2019 |
| Gradient-free policy architecture search and adaptation S Ebrahimi, A Rohrbach, T Darrell Conference on Robot Learning (2017), 505--514, 2017 | 18 | 2017 |
| Adversarial continual learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach arXiv preprint arXiv:2003.09553, 2020 | 7 | 2020 |
| Continual Learning with Neural Networks S Ebrahimi https://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-82.pdf, 2020 | | 2020 |
| Variational Adversarial Active Learning Open Website S Ebrahimi, S Sinha, T Darrell | | |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
