Sayna Ebrahimi
Sayna Ebrahimi
PhD Candidate, UC Berkeley
Verified email at - Homepage
Cited by
Cited by
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
Variational adversarial active learning
S Sinha, S Ebrahimi, T Darrell
International Conference on Computer Vision (ICCV), 5972-5981, 2019
Uncertainty-guided continual learning with bayesian neural networks
S Ebrahimi, M Elhoseiny, T Darrell, M Rohrbach
International Conference on Learning Representations (ICLR), 2019
Compositional GAN: Learning Image-Conditional Binary Composition
S Azadi, D Pathak, S Ebrahimi, T Darrell
arXiv preprint arXiv:1807.07560, 2018
Gradient-free policy architecture search and adaptation
S Ebrahimi, A Rohrbach, T Darrell
Conference on Robot Learning (2017), 505--514, 2017
Adversarial continual learning
S Ebrahimi, F Meier, R Calandra, T Darrell, M Rohrbach
European Conference on Computer Vision (ECCV), 2020
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
Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches
S Ebrahimi
UC Berkeley, 2020
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
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
Minimax Active Learning
S Ebrahimi, W Gan, K Salahi, T Darrell
arXiv preprint arXiv:2012.10467, 2020
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
Continual Learning with Neural Networks
S Ebrahimi, 2020
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