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Amita Kamath

amitak [at] allenai.org

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BIO

I am a Pre-doctoral Young Investigator (PYI) at the Allen Institute for AI (AI2), where I work with the PRIOR team on general-purpose vision-language systems. Previously, 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.

SELECTED PUBLICATIONS

Webly Supervised Concept Expansion for General Purpose Vision Models Amita Kamath*, Christopher Clark*, Tanmay Gupta*, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi preprint (under submission) [PDF]

Towards General Purpose Vision Systems Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem preprint (under submission) [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]

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 450 students, and mentored several student project teams.
  • In Winter 2019, I was a TA for CS224n (Natural Language Processing with Deep Learning), taught by Chris Manning. I worked with a team of 20 TAs and over 400 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 15 TAs and over 400 students, and mentored several student project teams.

SERVICE

  • Student Member of the Stanford MSCS Admissions Committee, 2019.
  • Organizer of the weekly Stanford NLP Reading Group, Fall 2019.

SELECTED AWARDS

  • Top 3 Projects Award, CS224n (NLP with Deep Learning) 2018.
  • Mitacs Globalink Research Fellowship, 2016.
  • Indian Academies of Science Summer Research Fellowship, 2015.
  • Highest GPA awards, Computer Science Department, NITK, 2015-17.


Acknowledgement: This website uses the design and template from Shiori Sagawa.