| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021 | 3918 | 2021 |
| The Risk of Racial Bias in Hate Speech Detection M Sap, D Card, S Gabriel, Y Choi, NA Smith The 57th Annual Meeting of the Association for Computational Linguistics, 2019 | 954 | 2019 |
| The values encoded in machine learning research A Birhane, P Kalluri, D Card, W Agnew, R Dotan, M Bao 2022 ACM Conference on Fairness, Accountability, and Transparency, 173-184, 2022 | 301 | 2022 |
| Show Your Work: Improved Reporting of Experimental Results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith arXiv preprint arXiv:1909.03004, 2019 | 273 | 2019 |
| The media frames corpus: Annotations of frames across issues D Card, AE Boydstun, JH Gross, P Resnik, NA Smith Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 261 | 2015 |
| Neural Models for Documents with Metadata D Card, C Tan, NA Smith Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 167* | 2018 |
| Variational Pretraining for Semi-supervised Text Classification S Gururangan, T Dang, D Card, NA Smith arXiv preprint arXiv:1906.02242, 2019 | 138 | 2019 |
| With Little Power Comes Great Responsibility D Card, P Henderson, U Khandelwal, R Jia, K Mahowald, D Jurafsky arXiv preprint arXiv:2010.06595, 2020 | 115 | 2020 |
| Quantitative MRI in the very preterm brain: assessing tissue organization and myelination using magnetization transfer, diffusion tensor and T1 imaging R Nossin-Manor, D Card, D Morris, S Noormohamed, MM Shroff, ... Neuroimage 64, 505-516, 2013 | 113 | 2013 |
| Computational analysis of 140 years of US political speeches reveals more positive but increasingly polarized framing of immigration D Card, S Chang, C Becker, J Mendelsohn, R Voigt, L Boustan, ... Proceedings of the National Academy of Sciences 119 (31), e2120510119, 2022 | 88 | 2022 |
| Analyzing framing through the casts of characters in the news D Card, J Gross, A Boydstun, NA Smith Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 86 | 2016 |
| Tracking the development of media frames within and across policy issues AE Boydstun, D Card, J Gross, P Resnick, NA Smith | 81 | 2014 |
| Deep grey matter growth predicts neurodevelopmental outcomes in very preterm children JM Young, TL Powell, BR Morgan, D Card, W Lee, ML Smith, JG Sled, ... Neuroimage 111, 360-368, 2015 | 80 | 2015 |
| DeSMOG: Detecting Stance in Media On Global Warming Y Luo, D Card, D Jurafsky Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 78* | 2020 |
| Self-injurious behaviours are associated with alterations in the somatosensory system in children with autism spectrum disorder EG Duerden, D Card, SW Roberts, KM Mak-Fan, MM Chakravarty, ... Brain structure and function 219, 1251-1261, 2014 | 61 | 2014 |
| Metabolic mapping of deep brain structures and associations with symptomatology in autism spectrum disorders KAR Doyle-Thomas, D Card, LV Soorya, AT Wang, J Fan, E Anagnostou Research in autism spectrum disorders 8 (1), 44-51, 2014 | 55 | 2014 |
| The Importance of Calibration for Estimating Proportions from Annotations D Card, NA Smith Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 53 | 2018 |
| Alterations in frontostriatal pathways in children born very preterm EG Duerden, D Card, ID Lax, EJ Donner, MJ Taylor Developmental Medicine & Child Neurology 55 (10), 952-958, 2013 | 52 | 2013 |
| Deep Weighted Averaging Classifiers D Card, M Zhang, NA Smith Proceedings of the Conference on Fairness, Accountability, and Transparency …, 2019 | 47 | 2019 |
| Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words K Zhou, K Ethayarajh, D Card, D Jurafsky arXiv preprint arXiv:2205.05092, 2022 | 45 | 2022 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
