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Divyansh Kaushik
Divyansh Kaushik
Vice President, Beacon Global Strategies
Verified email at bgsdc.com - Homepage
Title
Cited by
Cited by
Year
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
D Kaushik, E Hovy, ZC Lipton
International Conference on Learning Representations (ICLR), 2020
5472020
Dynabench: Rethinking Benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
3042021
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks
D Kaushik, ZC Lipton
Empirical Methods in Natural Language Processing (EMNLP), 2018
2482018
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment
Y Wu, E Winston, D Kaushik, Z Lipton
International Conference on Machine Learning (ICML), 2019
1582019
Explaining The Efficacy of Counterfactually Augmented Data
D Kaushik, A Setlur, E Hovy, ZC Lipton
International Conference on Learning Representations (ICLR), 2021
762021
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
D Kaushik, D Kiela, ZC Lipton, W Yih
Association for Computational Linguistics and International Joint Conference …, 2021
372021
Application of Data Mining for High Accuracy Prediction of Breast Tissue Biopsy Results
D Kaushik, K Kaur
Digital Information Processing, Data Mining, and Wireless Communications …, 2016
322016
The Impact of International Scientists, Engineers, and Students on U.S. Research Outputs and Global Competitiveness
S Rovito, D Kaushik, SD Aggarwal
MIT Science Policy Review, 2021
92021
Resolving the Human-Subjects Status of ML’s Crowdworkers: What ethical framework should govern the interaction of ML researchers and crowdworkers?
D Kaushik, ZC Lipton, AJ London
Communications of the ACM, 2024
7*2024
Practical Benefits of Feature Feedback Under Distribution Shift
A Katakkar, W Wang, CH Yoo, ZC Lipton, D Kaushik
BlackboxNLP Workshop, 2022
52022
Robustifying NLP with Humans in the Loop
D Kaushik
Carnegie Mellon University, 2022
2022
Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition
D Kaushik, S Gupta, C Raju, R Dias, S Ghosh
Recent Advances in Natural Language Processing (RANLP), 354-362, 2017
2017
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