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Amita Kamath

kamatha [at] cs.stanford.edu

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BIO

I am an MS student in the Computer Science department at Stanford University, where I work with Percy Liang's group on distribution shift in NLP. In the Summer of 2020, I will be graduating from Stanford to work with the Lex Team at Amazon Research, and I will be joining the PRIOR team at Allen Institute for AI (AI2) as a Pre-doctoral Young Investigator in the Fall of 2020.

Previously, I received my BTech in Computer Engineering (gold medalist) from National Institute of Technology Karnataka, India, in 2017.

Here is my CV.

PUBLICATIONS

Selective Question Answering under Domain Shift Amita Kamath, Robin Jia, Percy Liang ACL 2020 [PDF] [Codalab]

ARTINALI: Dynamic Invariant Detection for Cyber-Physical System Security [Undergraduate] Maryam Aliabadi, Amita Kamath, Julien Gascon-Samson, Karthik Pattabiraman FSE 2017 [PDF]

A mobile application for Women’s Safety: WoSApp [Undergraduate] Dhruv Chand, Sunil Nayak, Karthik Bhat, Shivani Parikh, Yuvraj Singh, Amita Kamath IEEE TENCON 2015 [PDF]

TEACHING

  • In Summer 2019, I was the head TA for CS221 (Artificial Intelligence), taught by Robin Jia. I managed a team of 6 TAs and over 100 students, taught sections, and mentored several student project teams.
  • In Winter 2020, I was a TA for CS224n (Natural Language Processing with Deep Learning), taught by Chris Manning. I worked with a team of 23 TAs and over 650 students, and mentored several student project teams.
  • In Winter 2019, I was a TA for CS224n (Natural Language Processing with Deep Learning), taught by Richard Socher. I worked with a team of 20 TAs and over 550 students, helped develop new assignments, and mentored several student project teams.
  • In Autumn 2018, I was a TA for CS221 (Artificial Intelligence), taught by Percy Liang. I worked with a team of 28 TAs and over 550 students, and mentored several student project teams.