| Annotation artifacts in natural language inference data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... arXiv preprint arXiv:1803.02324, 2018 | 253 | 2018 |
| Show your work: Improved reporting of experimental results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith arXiv preprint arXiv:1909.03004, 2019 | 29 | 2019 |
| Analysis of graph invariants in functional neocortical circuitry reveals generalized features common to three areas of sensory cortex SS Gururangan, AJ Sadovsky, JN MacLean PLoS Comput Biol 10 (7), e1003710, 2014 | 16 | 2014 |
| Don't Stop Pretraining: Adapt Language Models to Domains and Tasks S Gururangan, A Marasović, S Swayamdipta, K Lo, I Beltagy, D Downey, ... arXiv preprint arXiv:2004.10964, 2020 | 15 | 2020 |
| Variational pretraining for semi-supervised text classification S Gururangan, T Dang, D Card, NA Smith arXiv preprint arXiv:1906.02242, 2019 | 6 | 2019 |
| Emergent coordination underlying learning to reach to grasp with a brain-machine interface M Vaidya, K Balasubramanian, J Southerland, I Badreldin, A Eleryan, ... Journal of neurophysiology 119 (4), 1291-1304, 2018 | 6 | 2018 |
| Dallas Card, and Noah A. Smith. 2019. Variational pretraining for semi-supervised text classification S Gururangan, T Dang Proceedings of the 57th Annual Meeting of the Association for Computational …, 0 | 5 | |
| Neutralizing malicious locators R Hodgman, A Kuppa, S Gururangan, A Reece US Patent 10,601,846, 2020 | | 2020 |
| Classifying locator generation kits R Hodgman, A Kuppa, S Gururangan, A Reece US Patent 10,594,655, 2020 | | 2020 |
| Polyglot Text Classification with Neural Document Models S Gururangan | | 2018 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
