Divyansh Kaushik

According to our database1, Divyansh Kaushik authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Resolving the Human-Subjects Status of ML's Crowdworkers.
Commun. ACM, May, 2024

Resolving the Human-subjects Status of Machine Learning's Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers?
ACM Queue, 2024

2022
Resolving the Human Subjects Status of Machine Learning's Crowdworkers.
CoRR, 2022

Practical Benefits of Feature Feedback Under Distribution Shift.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021
Dynabench: Rethinking Benchmarking in NLP.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Explaining the Efficacy of Counterfactually Augmented Data.
Proceedings of the 9th International Conference on Learning Representations, 2021

On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Learning The Difference That Makes A Difference With Counterfactually-Augmented Data.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017


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