Divyansh Kaushik

19 papers A* 4Misc 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Resolving the Human-Subjects Status of ML's Crowdworkers.
Commun. ACM
Divyansh Kaushik, Zachary C. Lipton, Alex John London
2024 J jnl
Resolving the Human-subjects Status of Machine Learning's Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers?
ACM Queue
Divyansh Kaushik, Zachary C. Lipton, Alex John London
2023 — —
Robustifying NLP with Humans in the Loop
Divyansh Kaushik
2022 — conf
Practical Benefits of Feature Feedback Under Distribution Shift.
BlackboxNLP@EMNLP
Anurag Katakkar, Clay H. Yoo, Weiqin Wang, Zachary C. Lipton, Divyansh Kaushik
2022 J jnl
Resolving the Human Subjects Status of Machine Learning's Crowdworkers.
CoRR
Divyansh Kaushik, Zachary C. Lipton, Alex John London
2021 — conf
Dynabench: Rethinking Benchmarking in NLP.
NAACL-HLT
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
2021 J jnl
Dynabench: Rethinking Benchmarking in NLP.
CoRR
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
2021 A* conf
Explaining the Efficacy of Counterfactually Augmented Data.
ICLR
Divyansh Kaushik, Amrith Setlur, Eduard H. Hovy, Zachary Chase Lipton
2021 — conf
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study.
ACL/IJCNLP (1)
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
2021 J jnl
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study.
CoRR
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
2021 J jnl
Practical Benefits of Feature Feedback Under Distribution Shift.
CoRR
Anurag Katakkar, Weiqin Wang, Clay H. Yoo, Zachary C. Lipton, Divyansh Kaushik
2020 J jnl
Explaining The Efficacy of Counterfactually-Augmented Data.
CoRR
Divyansh Kaushik, Amrith Setlur, Eduard H. Hovy, Zachary C. Lipton
2020 A* conf
Learning The Difference That Makes A Difference With Counterfactually-Augmented Data.
ICLR
Divyansh Kaushik, Eduard H. Hovy, Zachary Chase Lipton
2019 A* conf
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment.
ICML
Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton
2019 J jnl
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment.
CoRR
Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary C. Lipton
2019 J jnl
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data.
CoRR
Divyansh Kaushik, Eduard H. Hovy, Zachary C. Lipton
2018 A* conf
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks.
EMNLP
Divyansh Kaushik, Zachary C. Lipton
2018 J jnl
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks.
CoRR
Divyansh Kaushik, Zachary C. Lipton
2017 Misc conf
Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition.
RANLP
Divyansh Kaushik, Shashank Gupta, Chakradhar Raju, Reuben Dias, Sanjib Ghosh