Learning the Difference that Makes a Difference with Counterfactually-Augmented Data D Kaushik, E Hovy, ZC Lipton International Conference on Learning Representations (ICLR), 2020 | 540 | 2020 |
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 | 288 | 2021 |
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 | 246 | 2018 |
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment Y Wu, E Winston, D Kaushik, Z Lipton International Conference on Machine Learning (ICML), 2019 | 157 | 2019 |
Explaining The Efficacy of Counterfactually Augmented Data D Kaushik, A Setlur, E Hovy, ZC Lipton International Conference on Learning Representations (ICLR), 2021 | 76 | 2021 |
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 | 37 | 2021 |
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 | 31 | 2016 |
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 | 9 | 2021 |
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 | 5 | 2022 |
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 |