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2020 – today
- 2024
[j3]Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister:
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. Trans. Mach. Learn. Res. 2024 (2024)- [c18]James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. ACL (Findings) 2024: 13984-14011 - [i26]Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan Ö. Arik, Tomas Pfister:
Mitigating Object Hallucination via Data Augmented Contrastive Tuning. CoRR abs/2405.18654 (2024) - [i25]Sayna Ebrahimi, Sercan Ö. Arik, Tejas Nama, Tomas Pfister:
CROME: Cross-Modal Adapters for Efficient Multimodal LLM. CoRR abs/2408.06610 (2024) - [i24]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:
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. CoRR abs/2410.11163 (2024) - [i23]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:
Reverse Thinking Makes LLMs Stronger Reasoners. CoRR abs/2411.19865 (2024) - 2023
- [j2]Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister:
Test-Time Adaptation for Visual Document Understanding. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha:
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. EMNLP (Findings) 2023: 5190-5213 - [c16]Qingyao Sun, Kevin P. Murphy, Sayna Ebrahimi, Alexander D'Amour:
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations. NeurIPS 2023 - [i22]Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Somesh Jha, Tomas Pfister:
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. CoRR abs/2304.03870 (2023) - [i21]Sayna Ebrahimi, Sercan Ö. Arik, Yihe Dong, Tomas Pfister:
LANISTR: Multimodal Learning from Structured and Unstructured Data. CoRR abs/2305.16556 (2023) - [i20]Nicasia Beebe-Wang, Sayna Ebrahimi, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister:
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series. CoRR abs/2308.13703 (2023) - [i19]Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister, Somesh Jha:
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. CoRR abs/2310.11689 (2023) - [i18]James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik, Yan Liu, Tomas Pfister:
TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents. CoRR abs/2312.01279 (2023) - 2022
- [c15]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CVPR 2022: 295-305 - [c14]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. ECCV (26) 2022: 631-648 - [c13]Shizhan Zhu, Sayna Ebrahimi, Angjoo Kanazawa, Trevor Darrell:
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image. ICLR 2022 - [c12]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:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i17]Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister:
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning. CoRR abs/2204.04799 (2022) - [i16]Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi:
Contrastive Test-Time Adaptation. CoRR abs/2204.10377 (2022) - [i15]Sayna Ebrahimi, Sercan Ö. Arik, Tomas Pfister:
Test-Time Adaptation for Visual Document Understanding. CoRR abs/2206.07240 (2022) - [i14]Qingyao Sun, Kevin Murphy, Sayna Ebrahimi, Alexander D'Amour:
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations. CoRR abs/2211.15646 (2022) - 2021
- [c11]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. ICCV 2021: 1114-1124 - [c10]Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. ICLR 2021 - [i13]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:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i12]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. CoRR abs/2107.03315 (2021) - [i11]Michael Laielli, Giscard Biamby, Dian Chen, Adam Loeffler, Phat Dat Nguyen, Ross Luo, Trevor Darrell, Sayna Ebrahimi:
Region-level Active Learning for Cluttered Scenes. CoRR abs/2108.09186 (2021) - [i10]Dequan Wang, Shaoteng Liu, Sayna Ebrahimi, Evan Shelhamer, Trevor Darrell:
On-target Adaptation. CoRR abs/2109.01087 (2021) - 2020
- [b1]Sayna Ebrahimi:
Mechanical Behavior of Materials at Multiscale Peridynamic Theory and Learning-based Approaches. University of California, Berkeley, USA, 2020 - [j1]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Image-Conditional Binary Composition. Int. J. Comput. Vis. 128(10): 2570-2585 (2020) - [c9]Sayna Ebrahimi, Franziska Meier, Roberto Calandra
, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. ECCV (11) 2020: 386-402 - [c8]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. ICLR 2020 - [i9]Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach:
Adversarial Continual Learning. CoRR abs/2003.09553 (2020) - [i8]Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell:
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. CoRR abs/2010.01528 (2020) - [i7]Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell:
Minimax Active Learning. CoRR abs/2012.10467 (2020)
2010 – 2019
- 2019
- [c7]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops 2019: 54-57 - [c6]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. CVPR Workshops 2019: 75-78 - [c5]Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador:
WiCV 2019: The Sixth Women In Computer Vision Workshop. CVPR Workshops 2019: 469-471 - [c4]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR 2019: 8247-8255 - [c3]Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. ICCV 2019: 5971-5980 - [c2]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. DGS@ICLR 2019 - [i6]Samarth Sinha, Sayna Ebrahimi, Trevor Darrell:
Variational Adversarial Active Learning. CoRR abs/1904.00370 (2019) - [i5]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. CoRR abs/1906.02425 (2019) - [i4]Irene Amerini, Elena Balashova, Sayna Ebrahimi, Kathryn Leonard, Arsha Nagrani, Amaia Salvador:
WiCV 2019: The Sixth Women In Computer Vision Workshop. CoRR abs/1909.10225 (2019) - 2018
- [i3]Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell:
Compositional GAN: Learning Conditional Image Composition. CoRR abs/1807.07560 (2018) - [i2]Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata:
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CoRR abs/1812.01784 (2018) - 2017
- [c1]Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell:
Gradient-free Policy Architecture Search and Adaptation. CoRL 2017: 505-514 - [i1]Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell:
Gradient-free Policy Architecture Search and Adaptation. CoRR abs/1710.05958 (2017)
Coauthor Index
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last updated on 2025-01-06 01:55 CET by the dblp team
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