| 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 (CVPR) 2019, 2018 | 619 | 2018 |
| Variational adversarial active learning S Sinha, S Ebrahimi, T Darrell International Conference on Computer Vision (ICCV), 5972-5981, 2019 | 514 | 2019 |
| Uncertainty-guided continual learning with bayesian neural networks S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach International Conference on Learning Representations (ICLR), 2019 | 195 | 2019 |
| Compositional gan: Learning image-conditional binary composition S Azadi, D Pathak, S Ebrahimi, T Darrell International Journal of Computer Vision 128 (10), 2570-2585, 2020 | 179 | 2020 |
| Adversarial continual learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach European Conference on Computer Vision (ECCV), 2020 | 158 | 2020 |
| DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ... European Conference on Computer Vision (ECCV) 2022, 2022 | 127 | 2022 |
| Contrastive Test-Time Adaptation D Chen, D Wang, T Darrell, S Ebrahimi Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 120 | 2022 |
| Predicting with Confidence on Unseen Distributions D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt International Conference on Computer Vision (ICCV), 2021 | 82 | 2021 |
| Self-supervised pretraining improves self-supervised pretraining CJ Reed, X Yue, A Nrusimha, S Ebrahimi, V Vijaykumar, R Mao, B Li, ... IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2584-2594, 2022 | 79 | 2022 |
| Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting S Ebrahimi, S Petryk, A Gokul, W Gan, JE Gonzalez, M Rohrbach, ... International Conference on Learning Representations (ICLR), 2020 | 42 | 2020 |
| Gradient-free policy architecture search and adaptation S Ebrahimi, A Rohrbach, T Darrell Conference on Robot Learning (CoRL) 2017, 505--514, 2017 | 29 | 2017 |
| Peridynamics analysis of the nanoscale friction and wear properties of amorphous carbon thin films S Ebrahimi, D Steigmann, K Komvopoulos Journal of Mechanics of Materials and Structures 10 (5), 559-572, 2015 | 24 | 2015 |
| Minimax Active Learning S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ... arXiv preprint arXiv:2012.10467, 2020 | 22 | 2020 |
| Compositional gan: Learning conditional image composition S Azadi, D Pathak, S Ebrahimi, T Darrell | 22 | 2018 |
| Zero-shot reward specification via grounded natural language P Mahmoudieh, D Pathak, T Darrell International Conference on Machine Learning, 14743-14752, 2022 | 19 | 2022 |
| On-target adaptation D Wang, S Liu, S Ebrahimi, E Shelhamer, T Darrell arXiv preprint arXiv:2109.01087, 2021 | 15 | 2021 |
| Dynamic analysis of cracks using the SGBEM for elastodynamics in the Laplace-space frequency domain S Ebrahimi, AV Phan Engineering Analysis with Boundary Elements 37 (11), 1378-1391, 2013 | 12 | 2013 |
| WiCV 2018: the fourth women in computer vision workshop I Demir, D Bazazian, A Romero, V Sharmanska, LP Tchapmi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 6 | 2018 |
| Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches S Ebrahimi https://escholarship.org/uc/item/9j73s3p8, 2020 | 5 | 2020 |
| Beyond invariance: Test-time label-shift adaptation for distributions with" spurious" correlations Q Sun, K Murphy, S Ebrahimi, A D'Amour Conference on Neural Information Processing Systems (NeurIPS), 2023 | 4 | 2023 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
