Divyansh Kaushik, PhD Student
https://www.cs.cmu.edu/~dkaushik/
I am a 4th year PhD student at the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University. I'm fortunate to be advised by Dr. Eduard Hovy and Dr. Zachary Lipton. My interests lie in robustifying NLP with humans in the loop. Over the years, my work has been supported by Pricewaterhouse Coopers and Facebook AI. When I'm not doing research, I can be found roaming the halls of Capitol Hill advocating for science policy or grabbing a snack from the Dirksen Cafeteria. I often tweet about my research or my takes on policy/my advocacy efforts at @dkaushik96.
Research Interests: Human-in-the-Loop Learning, NLP
Publications
Explaining The Efficacy of Counterfactually-Augmented Data
Divyansh Kaushik, Zachary Lipton
International Conference on Learning Representations (ICLR), 2021Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik, Zachary Lipton
International Conference on Learning Representations (ICLR), 2020Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Yifan Wu, Divyansh Kaushik, Ezra Winston, Zachary Lipton
International Conference on Machine Learning (ICML), 2019How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
Divyansh Kaushik, Zachary Lipton
Empirical Methods in Natural Language Processing (EMNLP), 2018