| 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 | 757 | 2018 |
| Variational adversarial active learning S Sinha, S Ebrahimi, T Darrell International Conference on Computer Vision (ICCV), 5972-5981, 2019 | 669 | 2019 |
| 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 | 380 | 2022 |
| 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 | 260 | 2020 |
| Contrastive Test-Time Adaptation D Chen, D Wang, T Darrell, S Ebrahimi Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 253 | 2022 |
| Uncertainty-guided continual learning with bayesian neural networks S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach International Conference on Learning Representations (ICLR), 2019 | 247* | 2019 |
| Adversarial continual learning S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach European Conference on Computer Vision (ECCV), 2020 | 228 | 2020 |
| Predicting with Confidence on Unseen Distributions D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt International Conference on Computer Vision (ICCV), 2021 | 140 | 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 | 113 | 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 | 53 | 2020 |
| Zero-shot reward specification via grounded natural language P Mahmoudieh, D Pathak, T Darrell International Conference on Machine Learning, 14743-14752, 2022 | 45 | 2022 |
| Gradient-free policy architecture search and adaptation S Ebrahimi, A Rohrbach, T Darrell Conference on Robot Learning (CoRL) 2017, 505--514, 2017 | 32 | 2017 |
| Minimax Active Learning S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ... arXiv preprint arXiv:2012.10467, 2020 | 31 | 2020 |
| Continual learning of large language models: A comprehensive survey H Shi, Z Xu, H Wang, W Qin, W Wang, Y Wang, Z Wang, S Ebrahimi, ... arXiv preprint arXiv:2404.16789, 2024 | 26 | 2024 |
| 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 | 26 | 2015 |
| Compositional gan: Learning conditional image composition S Azadi, D Pathak, S Ebrahimi, T Darrell | 23 | 2018 |
| Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs J Chen, J Yoon, S Ebrahimi, SO Arik, T Pfister, S Jha Findings of EMNLP (2023), 2023 | 15 | 2023 |
| 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 | 14 | 2013 |
| Beyond invariance: test-time label-shift adaptation for addressing" spurious" correlations Q Sun, KP Murphy, S Ebrahimi, A D'Amour Advances in Neural Information Processing Systems 36, 23789-23812, 2023 | 13* | 2023 |
| Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches S Ebrahimi https://escholarship.org/uc/item/9j73s3p8, 2020 | 7 | 2020 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
