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Minimax Active Learning

Dec 18, 2020
Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell

* Project page is available at https://people.eecs.berkeley.edu/~sayna/mal.html 

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Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting

Oct 04, 2020
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell


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Adversarial Continual Learning

Mar 21, 2020
Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach


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WiCV 2019: The Sixth Women In Computer Vision Workshop

Sep 23, 2019
Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador

* The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0 
* Report of the Sixth Women In Computer Vision Workshop 

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Uncertainty-guided Continual Learning with Bayesian Neural Networks

Jun 06, 2019
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach


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Variational Adversarial Active Learning

Mar 31, 2019
Samarth Sinha, Sayna Ebrahimi, Trevor Darrell

* First two authors contributed equally 

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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

Dec 17, 2018
Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

* Corrected typos 

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Compositional GAN: Learning Conditional Image Composition

Aug 23, 2018
Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell


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Gradient-free Policy Architecture Search and Adaptation

Oct 16, 2017
Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell

* Accepted in Conference on Robot Learning, 2017 

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