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Hey! I am Danish, and I am a Ph.D candidate in Language Technologies at School of Computer Science in Carnegie Mellon University. I am co-advised by Dr. Graham Neubig and Dr. Eduard Hovy. My research goal is to enable machines to understand and explain natural language phenomena. Towards this mission, I work on explaining and interpreting neural representations and models. Interpretability in a general neural network pipeline would not just help us reason about the outcomes that they predict, but would also provide us cues to make them more efficient and robust.

Prior to this, I worked with Dr. Partha Talukdar at Machine And Language Learning (MALL) Lab in the Indian Institute of Science, Bangalore. I completed my bachelors degree in computer science from BITS Pilani, Pilani in 2015. During my undergraduate years, I had the opportunity to work on some interesting problems at Microsoft Research, India and Google, Hyderabad.

News & Activities

  • [New] Preprint on learning to deceive with attention based explanations is here.
  • Work on adversarial spelling mistakes and their defenses is accepted at ACL 2019.
  • Interning at Facebook AI Research w/ Dr. Brenden Lake and Dr. Marco Baroni
  • Feb 2018: Our work on Semi-Supervised QA is accepted at NAACL 2018
  • Jan 2018: Speaking about our work at IISc Bangalore
  • Dec 2017: Conducting a training camp at BITS Goa to assist students for job search.
  • Nov 2017: Our work on interpretable neural embeddings is accepted at AAAI
  • Sep 2017: Awarded the Siebel Scholarship. Thanks Siebel Foundation!
  • Aug 2017: Won the best poster award at LTI Student Research Symposium (SRS)
  • Aug 2017: Received the best presentation (honourable mention) award at LTI SRS
  • Spring 2017: TA'ed for Introduction to Machine Learning (PhD) 10-701.
  • Aug 2016: Joined CMU for my graduate studies
  • June 30, 2016: Completed an exciting year at MALL Lab
  • May 19, 2016: Presented our work at ICWSM in Cologne!
  • Feb 27, 2016: Our work on 'How to pose questions?' got accepted as a full paper for ICWSM'16
  • Recent Projects

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