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Sayna Ebrahimi
Sayna Ebrahimi
Research Scientist at Google
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
4012018
Variational adversarial active learning
S Sinha, S Ebrahimi, T Darrell
International Conference on Computer Vision (ICCV), 5972-5981, 2019
2562019
Uncertainty-guided continual learning with bayesian neural networks
S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach
International Conference on Learning Representations (ICLR), 2019
1172019
Adversarial continual learning
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach
European Conference on Computer Vision (ECCV), 2020
782020
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
752020
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
262022
Gradient-free policy architecture search and adaptation
S Ebrahimi, A Rohrbach, T Darrell
Conference on Robot Learning (CoRL) 2017, 505--514, 2017
252017
Compositional gan: Learning conditional image composition
S Azadi, D Pathak, S Ebrahimi, T Darrell
212018
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
182015
Predicting with Confidence on Unseen Distributions
D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt
International Conference on Computer Vision (ICCV), 2021
152021
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
132020
Minimax Active Learning
S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ...
arXiv preprint arXiv:2012.10467, 2020
112020
On-target adaptation
D Wang, S Liu, S Ebrahimi, E Shelhamer, T Darrell
arXiv preprint arXiv:2109.01087, 2021
62021
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
42018
Contrastive Test-Time Adaptation
D Chen, D Wang, T Darrell, S Ebrahimi
Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022
32022
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
22022
Zero-Shot Reward Specification via Grounded Natural Language
P Mahmoudieh, D Pathak, T Darrell
ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, 2022
22022
Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches
S Ebrahimi
https://escholarship.org/uc/item/9j73s3p8, 2020
22020
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
22019
Test-Time Adaptation for Visual Document Understanding
S Ebrahimi, SO Arik, T Pfister
arXiv preprint arXiv:2206.07240, 2022
2022
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