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2020 – today
- 2024
[c4]Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal:
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. CVPR 2024: 11975-11985- [c3]Musashi Hinck, Carolin Holtermann, Matthew L. Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP (Findings) 2024: 13402-13421 - [i13]Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser, Svetlana Kiritchenko:
Uncovering Bias in Large Vision-Language Models with Counterfactuals. CoRR abs/2404.00166 (2024) - [i12]Gabriela Ben Melech Stan, Raanan Y. Yehezkel Rohekar, Yaniv Gurwicz, Matthew Lyle Olson, Anahita Bhiwandiwalla, Estelle Aflalo, Chenfei Wu, Nan Duan, Shao-Yen Tseng, Vasudev Lal:
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models. CoRR abs/2404.03118 (2024) - [i11]Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko:
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. CoRR abs/2405.20152 (2024) - [i10]Musashi Hinck, Carolin Holtermann, Matthew Lyle Olson, Florian Schneider, Sungduk Yu, Anahita Bhiwandiwalla, Anne Lauscher, Shao-Yen Tseng, Vasudev Lal:
Why do LLaVA Vision-Language Models Reply to Images in English? CoRR abs/2407.02333 (2024) - [i9]Sungduk Yu, Brian L. White, Anahita Bhiwandiwalla, Musashi Hinck, Matthew Lyle Olson, Tung Nguyen, Vasudev Lal:
ClimDetect: A Benchmark Dataset for Climate Change Detection and Attribution. CoRR abs/2408.15993 (2024) - 2023
- [c2]Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. ACL (1) 2023: 14507-14525 - [i8]Xiao Xu
, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, Shachar Rosenman, Vasudev Lal, Wanxiang Che, Nan Duan:
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning. CoRR abs/2306.00103 (2023) - [i7]Avinash Madasu, Anahita Bhiwandiwalla, Vasudev Lal:
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks. CoRR abs/2310.04914 (2023) - [i6]Phillip Howard, Avinash Madasu, Tiep Le, Gustavo A. Lujan-Moreno, Anahita Bhiwandiwalla, Vasudev Lal:
Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples. CoRR abs/2312.00825 (2023) - 2020
- [c1]Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Oguz H. Elibol, Mehran Nekuii, Hanlin Tang:
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. ICLR 2020 - [i5]Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Mehran Nekuii, Oguz H. Elibol, Hanlin Tang:
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks. CoRR abs/2001.05674 (2020)
2010 – 2019
- 2019
- [i4]Subarna Tripathi, Anahita Bhiwandiwalla, Alexei Bastidas, Hanlin Tang:
Using Scene Graph Context to Improve Image Generation. CoRR abs/1901.03762 (2019) - [i3]Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt:
Prediction of GNSS Phase Scintillations: A Machine Learning Approach. CoRR abs/1910.01570 (2019) - [i2]Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt:
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. CoRR abs/1910.03085 (2019) - 2018
- [i1]Scott Cyphers, Arjun K. Bansal, Anahita Bhiwandiwalla, Jayaram Bobba, Matthew Brookhart, Avijit Chakraborty, William Constable, Christian Convey, Leona Cook, Omar Kanawi, Robert Kimball, Jason Knight, Nikolay Korovaiko, Varun Kumar Vijay, Yixing Lao, Christopher R. Lishka, Jaikrishnan Menon, Jennifer Myers, Sandeep Aswath Narayana, Adam Procter, Tristan J. Webb:
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. CoRR abs/1801.08058 (2018)
Coauthor Index
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