Kevin Gimpel

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Karen LivescuTTI-ChicagoAdresse e-mail validée de ttic.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceAdresse e-mail validée de cs.washington.edu
Dan HendrycksDirector of the Center for AI Safety (advisor for xAI and Scale)Adresse e-mail validée de berkeley.edu
John WietingGoogle ResearchAdresse e-mail validée de ttic.edu
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillAdresse e-mail validée de cs.unc.edu
Mingda ChenFAIR, MetaAdresse e-mail validée de fb.com
Sam WisemanApple AI/MLAdresse e-mail validée de apple.com
Chris DyerDeepMind, Carnegie MellonAdresse e-mail validée de google.com
Zhenzhong LanSchool of Engineering, Westlake UniversityAdresse e-mail validée de westlake.edu.cn
Brendan T. O'ConnorUniversity of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
Lifu TuSalesforce AI ResearchAdresse e-mail validée de ttic.edu
Dipanjan DasSenior Director of Research, Google DeepmindAdresse e-mail validée de google.com
ZEWEI CHUGoogleAdresse e-mail validée de google.com
Shubham ToshniwalSenior Research Scientist, NVIDIAAdresse e-mail validée de nvidia.com
Freda ShiAssistant Professor of Computer Science, University of WaterlooAdresse e-mail validée de uwaterloo.ca
Nathan SchneiderAssociate Professor, Linguistics and Computer Science • Georgetown UniversityAdresse e-mail validée de georgetown.edu
David McAllesterProfessor, Toyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu
Jacob EisensteinGoogle ResearchAdresse e-mail validée de google.com
Jeffrey FlaniganAssistant Professor, University of California Santa CruzAdresse e-mail validée de ucsc.edu
Michael HeilmanCivis AnalyticsAdresse e-mail validée de cs.cmu.edu

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Kevin Gimpel

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Natural Language Processing Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
ALBERT: A lite BERT for self-supervised learning of language representations Z Lan, M Chen, S Goodman, K Gimpel, P Sharma, R Soricut arXiv preprint arXiv:1909.11942, 2019	8327	2019
Gaussian error linear units (GELUs) D Hendrycks, K Gimpel arXiv preprint arXiv:1606.08415, 2016	7094	2016
A baseline for detecting misclassified and out-of-distribution examples in neural networks D Hendrycks, K Gimpel ICLR, 2017	3962	2017
Part-of-speech tagging for Twitter: Annotation, features, and experiments K Gimpel, N Schneider, B O'Connor, D Das, D Mills, J Eisenstein, ... ACL, 2011	1351	2011
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	1291	2022
Improved part-of-speech tagging for online conversational text with word clusters O Owoputi, B O'Connor, C Dyer, K Gimpel, N Schneider, NA Smith Human Language Technologies: Conference of the North American Chapter of the …, 2013	965	2013
Adversarial example generation with syntactically controlled paraphrase networks M Iyyer, J Wieting, K Gimpel, L Zettlemoyer NAACL, 2018	822	2018
Towards universal paraphrastic sentence embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR, 2016	749	2016
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise D Hendrycks, M Mazeika, D Wilson, K Gimpel NeurIPS, 2018	673	2018
Multi-perspective sentence similarity modeling with convolutional neural networks H He, K Gimpel, J Lin Proceedings of the 2015 conference on empirical methods in natural language …, 2015	499	2015
ParaNMT-50M: Pushing the limits of paraphrastic sentence embeddings with millions of machine translations J Wieting, K Gimpel Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	394	2018
Tailoring continuous word representations for dependency parsing M Bansal, K Gimpel, K Livescu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	388	2014
Early methods for detecting adversarial images D Hendrycks, K Gimpel arXiv preprint arXiv:1608.00530, 2016	326	2016
From paraphrase database to compositional paraphrase model and back J Wieting, M Bansal, K Gimpel, K Livescu, D Roth TACL, 2015	326	2015
Movie reviews and revenues: An experiment in text regression M Joshi, D Das, K Gimpel, NA Smith Human language technologies: The 2010 annual conference of the North …, 2010	309	2010
Charagram: Embedding words and sentences via character n-grams J Wieting, M Bansal, K Gimpel, K Livescu EMNLP, 2016	255	2016
Commonsense knowledge base completion X Li, A Taheri, L Tu, K Gimpel Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	211	2016
Softmax-margin CRFs: Training log-linear models with cost functions K Gimpel, NA Smith Human Language Technologies: The 2010 Annual Conference of the North …, 2010	203*	2010
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity J Wieting, T Berg-Kirkpatrick, K Gimpel, G Neubig ACL 2019, 2019	182	2019
Who did what: A large-scale person-centered cloze dataset T Onishi, H Wang, M Bansal, K Gimpel, D McAllester EMNLP, 2016	166	2016

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