Divyansh Kaushik

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Data Collection

Travel Information

Textual Entailment

Machine Learning

Top Venues

Publications

Divyansh Kaushik, Zachary C. Lipton, Alex John London
Resolving the Human-subjects Status of Machine Learning's Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers? ACM Queue 21 (6) (2024)
Divyansh Kaushik, Zachary C. Lipton, Alex John London
Resolving the Human-Subjects Status of ML's Crowdworkers. Commun. ACM 67 (5) (2024)
Divyansh Kaushik, Zachary C. Lipton, Alex John London
Resolving the Human Subjects Status of Machine Learning's Crowdworkers. CoRR (2022)
Anurag Katakkar, Clay H. Yoo, Weiqin Wang, Zachary C. Lipton, Divyansh Kaushik
Practical Benefits of Feature Feedback Under Distribution Shift. BlackboxNLP@EMNLP (2022)
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT (2021)
Divyansh Kaushik, Amrith Setlur, Eduard H. Hovy, Zachary Chase Lipton
Explaining the Efficacy of Counterfactually Augmented Data. ICLR (2021)
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
Dynabench: Rethinking Benchmarking in NLP. CoRR (2021)
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. CoRR (2021)
Anurag Katakkar, Weiqin Wang, Clay H. Yoo, Zachary C. Lipton, Divyansh Kaushik
Practical Benefits of Feature Feedback Under Distribution Shift. CoRR (2021)
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study. ACL/IJCNLP (1) (2021)
Divyansh Kaushik, Amrith Setlur, Eduard H. Hovy, Zachary C. Lipton
Explaining The Efficacy of Counterfactually-Augmented Data. CoRR (2020)
Divyansh Kaushik, Eduard H. Hovy, Zachary Chase Lipton
Learning The Difference That Makes A Difference With Counterfactually-Augmented Data. ICLR (2020)
Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment. ICML (2019)
Divyansh Kaushik, Eduard H. Hovy, Zachary C. Lipton
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data. CoRR (2019)
Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment. CoRR (2019)
Divyansh Kaushik, Zachary C. Lipton
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks. EMNLP (2018)
Divyansh Kaushik, Zachary C. Lipton
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks. CoRR (2018)
Divyansh Kaushik, Shashank Gupta, Chakradhar Raju, Reuben Dias, Sanjib Ghosh
Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition. RANLP (2017)