Sayna Ebrahimi

54 papers A* 10A 1Misc 1Journal 32Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continual Learning of Large Language Models: A Comprehensive Survey. ACM Comput. Surv. Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Zifeng Wang, Sayna Ebrahimi, Hao Wang
2025	J	`jnl`	ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality. CoRR Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Caswell, Alex Pentland, Sercan Ö. Arik, Chen-Yu Lee, Sayna Ebrahimi
2025	A*	`conf`	Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. ICLR Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
2025	A*	`conf`	Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. ICML 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
2025	—	`conf`	Reverse Thinking Makes LLMs Stronger Reasoners. NAACL (Long Papers) 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
2025	J	`jnl`	Unique Lives, Shared World: Learning from Single-Life Videos. CoRR Tengda Han, Sayna Ebrahimi, Dilara Gokay, Li Yang Ku, Maks Ovsjanikov, Iva Babukova, Daniel Zoran, Viorica Patraucean, João Carreira, Andrew Zisserman, Dima Damen
2024	J	`jnl`	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. Trans. Mach. Learn. Res. Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2024	J	`jnl`	CROME: Cross-Modal Adapters for Efficient Multimodal LLM. CoRR Sayna Ebrahimi, Sercan Ö. Arik, Tejas Nama, Tomas Pfister
2024	J	`jnl`	Mitigating Object Hallucination via Data Augmented Contrastive Tuning. CoRR Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister
2024	J	`jnl`	Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. CoRR 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
2024	J	`jnl`	Reverse Thinking Makes LLMs Stronger Reasoners. CoRR 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
2024	—	`conf`	TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. ACL (Findings) James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	J	`jnl`	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. CoRR Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister
2023	—	`conf`	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. EMNLP (Findings) Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023	J	`jnl`	Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. CoRR Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha
2023	A*	`conf`	Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations. NeurIPS Qingyao Sun, Kevin P. Murphy, Sayna Ebrahimi, Alexander D'Amour
2023	J	`jnl`	LANISTR: Multimodal Learning from Structured and Unstructured Data. CoRR Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister
2023	J	`jnl`	PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series. CoRR Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	Test-Time Adaptation for Visual Document Understanding. Trans. Mach. Learn. Res. Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
2023	J	`jnl`	TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. CoRR James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2022	J	`jnl`	Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations. CoRR Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour
2022	A*	`conf`	Contrastive Test-Time Adaptation. CVPR Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi
2022	J	`jnl`	Contrastive Test-Time Adaptation. CoRR Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi
2022	A*	`conf`	Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image. ICLR Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell
2022	—	`conf`	DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	J	`jnl`	DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister
2022	A	`conf`	Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 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
2022	J	`jnl`	Test-Time Adaptation for Visual Document Understanding. CoRR Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister
2021	J	`jnl`	On-target Adaptation. CoRR Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell
2021	A*	`conf`	Predicting with Confidence on Unseen Distributions. ICCV Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt
2021	J	`jnl`	Predicting with Confidence on Unseen Distributions. CoRR Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt
2021	J	`jnl`	Region-level Active Learning for Cluttered Scenes. CoRR Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi
2021	A*	`conf`	Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. ICLR Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell
2021	J	`jnl`	Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR 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
2020	—	`conf`	Adversarial Continual Learning. ECCV (11) Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
2020	J	`jnl`	Adversarial Continual Learning. CoRR Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach
2020	J	`jnl`	Compositional GAN: Learning Image-Conditional Binary Composition. Int. J. Comput. Vis. Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell
2020	—	`—`	Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches. Sayna Ebrahimi
2020	J	`jnl`	Minimax Active Learning. CoRR Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell
2020	J	`jnl`	Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. CoRR Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell
2020	A*	`conf`	Uncertainty-guided Continual Learning with Bayesian Neural Networks. ICLR Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
2019	—	`conf`	Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. DGS@ICLR Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell
2019	A*	`conf`	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2019	—	`conf`	Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2019	—	`conf`	Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. CVPR Workshops Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
2019	J	`jnl`	Uncertainty-guided Continual Learning with Bayesian Neural Networks. CoRR Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach
2019	A*	`conf`	Variational Adversarial Active Learning. ICCV Samarth Sinha, Sayna Ebrahimi, Trevor Darrell
2019	J	`jnl`	Variational Adversarial Active Learning. CoRR Samarth Sinha, Sayna Ebrahimi, Trevor Darrell
2019	—	`conf`	WiCV 2019: The Sixth Women In Computer Vision Workshop. CVPR Workshops Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador
2019	J	`jnl`	WiCV 2019: The Sixth Women In Computer Vision Workshop. CoRR Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador
2018	J	`jnl`	Compositional GAN: Learning Conditional Image Composition. CoRR Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell
2018	J	`jnl`	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CoRR Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2017	Misc	`conf`	Gradient-free Policy Architecture Search and Adaptation. CoRL Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell
2017	J	`jnl`	Gradient-free Policy Architecture Search and Adaptation. CoRR Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell