Ebrahimi, Sayna

19 publications

ICLR 2025 Mitigating Object Hallucination in MLLMs via Data-Augmented Phrase-Level Alignment Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan O Arik, Tomas Pfister

ICML 2025 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

TMLR 2024 ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister

NeurIPS 2023 Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations Qingyao Sun, Kevin P. Murphy, Sayna Ebrahimi, Alexander D'Amour

TMLR 2023 Test-Time Adaptation for Visual Document Understanding Sayna Ebrahimi, Sercan O Arik, Tomas Pfister

CVPR 2022 Contrastive Test-Time Adaptation Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi

ICLR 2022 Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell

ECCV 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 Dy, Tomas Pfister

WACV 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

ICCV 2021 Predicting with Confidence on Unseen Distributions Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt

ICLR 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

ECCV 2020 Adversarial Continual Learning Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach

ICLR 2020 Uncertainty-Guided Continual Learning with Bayesian Neural Networks Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

ICLRW 2019 Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell

ICLRW 2019 Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

CVPRW 2019 Generalized Zero-Shot Learning via Aligned Variational Autoencoders Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

CVPRW 2019 Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach

CVPRW 2019 WiCV 2019: The Sixth Women in Computer Vision Workshop Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador

CoRL 2017 Gradient-Free Policy Architecture Search and Adaptation Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell