Anahita Bhiwandiwalla

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Intermediate Representation

Language Models For Information Retrieval

Top Venues

Publications

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 (2024)
Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla, Svetlana Kiritchenko
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals. CoRR (2024)
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 (2024)
Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser, Svetlana Kiritchenko
Uncovering Bias in Large Vision-Language Models with Counterfactuals. CoRR (2024)
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)
Avinash Madasu, Anahita Bhiwandiwalla, Vasudev Lal
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks. CoRR (2023)
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 (2023)
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 (2023)
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 (2020)
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)
Subarna Tripathi, Anahita Bhiwandiwalla, Alexei Bastidas, Hanlin Tang
Using Scene Graph Context to Improve Image Generation. CoRR (2019)
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 (2019)
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 (2019)
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 (2018)