Divyansh Kaushik

Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

Yifan Wu, Zachary C. Lipton, Zachary Chase Lipton, 2019, ICML.

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Zachary Chase Lipton, E. Hovy, Divyansh Kaushik, 2019, ICLR.

Resolving the Human Subjects Status of Machine Learning's Crowdworkers

Zachary Chase Lipton, Divyansh Kaushik, A. London, 2022, ArXiv.

Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Zachary Chase Lipton, E. Hovy, Divyansh Kaushik, 2019, ICLR.

On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study

Douwe Kiela, Zachary C. Lipton, Zachary Chase Lipton, 2021, ACL.

Dynabench: Rethinking Benchmarking in NLP pdf

Zhiyi Ma, Christopher Potts, Douwe Kiela, 2021, NAACL.

How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks pdf

Zachary C. Lipton, Zachary Chase Lipton, Divyansh Kaushik, 2018, EMNLP.

Explaining The Efficacy of Counterfactually-Augmented Data

Zachary Chase Lipton, Amrith Rajagopal Setlur, E. Hovy, 2020, ICLR.

Resolving the Human Subjects Status of Machine Learning's Crowdworkers

Zachary Chase Lipton, Divyansh Kaushik, A. London, 2022, ArXiv.

Practical Benefits of Feature Feedback Under Distribution Shift

Zachary Chase Lipton, Clay H. Yoo, Divyansh Kaushik, 2021, BLACKBOXNLP.

Application of Data Mining for high accuracy prediction of breast tissue biopsy results

Karamjit Kaur, Divyansh Kaushik, Divyansh Kaushik, 2016, 2016 Third International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC).