I am a third-year PhD candidate fortunate to be co-advised by Kai-Wei Chang at UCLA and Ranjay Krishna at UW. I frequently collaborate with the Allen Institute for AI (AI2) as well!
Previously, I was a Pre-doctoral Young Investigator (PYI) at AI2, where I worked with the PRIOR team on general purpose vision-language systems. Before that, I completed my MS in the Computer Science department at Stanford University, where I worked with Percy Liang's group on distribution shift in NLP.
Here is my CV!
The Hard Positive Truth about Vision-Language Compositionality Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna ECCV 2024 [PDF] [slides]
Text encoders bottleneck compositionality in contrastive vision-language models Amita Kamath, Jack Hessel, Kai-Wei Chang EMNLP 2023 [PDF]
What's "up" with vision-language models? Investigating their struggle with spatial reasoning Amita Kamath, Jack Hessel, Kai-Wei Chang EMNLP 2023 [PDF]
Webly Supervised Concept Expansion for General Purpose Vision Models Amita Kamath*, Christopher Clark*, Tanmay Gupta*, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi ECCV 2022 [PDF] [webpage]
Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem CVPR 2022 (Oral) [PDF] [webpage]
Selective Question Answering under Domain Shift Amita Kamath, Robin Jia, Percy Liang ACL 2020 [PDF] [Codalab]
Selective Prediction under Domain Shift for Question Answering Amita Kamath, Robin Jia, Percy Liang Master's Thesis [PDF]
ARTINALI: Dynamic Invariant Detection for Cyber-Physical System Security [Undergraduate] Maryam Aliabadi, Amita Kamath, Julien Gascon-Samson, Karthik Pattabiraman FSE 2017 [PDF]
Acknowledgement: This website uses the design and template from Shiori Sagawa.