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Sayna Ebrahimi
Sayna Ebrahimi
Senior Research Scientist at Google DeepMind
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
7792018
Variational adversarial active learning
S Sinha, S Ebrahimi, T Darrell
International Conference on Computer Vision (ICCV), 5972-5981, 2019
6962019
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
4352022
Contrastive Test-Time Adaptation
D Chen, D Wang, T Darrell, S Ebrahimi
Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022
2812022
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
2652020
Uncertainty-guided continual learning with bayesian neural networks
S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach
International Conference on Learning Representations (ICLR), 2019
253*2019
Adversarial continual learning
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach
European Conference on Computer Vision (ECCV), 2020
2412020
Predicting with Confidence on Unseen Distributions
D Guillory, V Shankar, S Ebrahimi, T Darrell, L Schmidt
International Conference on Computer Vision (ICCV), 2021
1512021
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
1182022
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
582020
Zero-shot reward specification via grounded natural language
P Mahmoudieh, D Pathak, T Darrell
International Conference on Machine Learning, 14743-14752, 2022
532022
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
372024
Minimax Active Learning
S Ebrahimi, W Gan, D Chen, G Biamby, K Salahi, M Laielli, S Zhu, ...
arXiv preprint arXiv:2012.10467, 2020
332020
Gradient-free policy architecture search and adaptation
S Ebrahimi, A Rohrbach, T Darrell
Conference on Robot Learning (CoRL) 2017, 505--514, 2017
322017
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
262015
Compositional gan: Learning conditional image composition
S Azadi, D Pathak, S Ebrahimi, T Darrell
232018
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
19*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
142013
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
132023
Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches
S Ebrahimi
https://escholarship.org/uc/item/9j73s3p8, 2020
72020
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Articles 1–20