Sayna Ebrahimi

According to our database, Sayna Ebrahimi authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ASPEST: Bridging the Gap Between Active Learning and Selective Prediction.

Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister

Trans. Mach. Learn. Res., 2024

Reverse Thinking Makes LLMs Stronger Reasoners.

Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister

CoRR, 2024

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence.

Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister

CoRR, 2024

CROME: Cross-Modal Adapters for Efficient Multimodal LLM.

Sayna Ebrahimi, Sercan Ö. Arik, Tejas Nama, Tomas Pfister

CoRR, 2024

Mitigating Object Hallucination via Data Augmented Contrastive Tuning.

Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister

CoRR, 2024

TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents.

James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Test-Time Adaptation for Visual Document Understanding.

Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister

Trans. Mach. Learn. Res., 2023

PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series.

Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister

CoRR, 2023

LANISTR: Multimodal Learning from Structured and Unstructured Data.

Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister

CoRR, 2023

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations.

Qingyao Sun, Kevin P. Murphy, Sayna Ebrahimi, Alexander D'Amour

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs.

Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations.

Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour

CoRR, 2022

Self-Supervised Pretraining Improves Self-Supervised Pretraining.

Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image.

Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell

Proceedings of the Tenth International Conference on Learning Representations, 2022

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning.

Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister

Proceedings of the Computer Vision - ECCV 2022, 2022

Contrastive Test-Time Adaptation.

Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On-target Adaptation.

Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell

CoRR, 2021

Region-level Active Learning for Cluttered Scenes.

Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi

CoRR, 2021

Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Predicting with Confidence on Unseen Distributions.

Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches.

Sayna Ebrahimi

PhD thesis, 2020

Compositional GAN: Learning Image-Conditional Binary Composition.

Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell

Int. J. Comput. Vis., 2020

Minimax Active Learning.

Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell

CoRR, 2020

Uncertainty-guided Continual Learning with Bayesian Neural Networks.

Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

Proceedings of the 8th International Conference on Learning Representations, 2020

Adversarial Continual Learning.

Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition.

Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Variational Adversarial Active Learning.

Samarth Sinha, Sayna Ebrahimi, Trevor Darrell

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Generalized Zero-Shot Learning via Aligned Variational Autoencoders.

Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

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

Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract.

Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

WiCV 2019: The Sixth Women In Computer Vision Workshop.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Compositional GAN: Learning Conditional Image Composition.

Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell

CoRR, 2018

2017

Gradient-free Policy Architecture Search and Adaptation.

Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017