Vivek Kulkarni

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Steven SkienaProfessor of Computer Science, Stony Brook UniversityAdresse e-mail validée de cs.stonybrook.edu
Bryan PerozziGoogle ResearchAdresse e-mail validée de google.com
William Yang WangMellichamp Chair Professor, University of California, Santa BarbaraAdresse e-mail validée de cs.ucsb.edu
Rami Al-RfouStaff Research Scientist at Waymo ResearchAdresse e-mail validée de google.com
H. Andrew SchwartzStony Brook UniversityAdresse e-mail validée de cs.stonybrook.edu
Daniel McFarlandProfessor of Education, Stanford UniversityAdresse e-mail validée de stanford.edu
Sebastian Munoz-Najar GalvezAssistant Professor, Harvard UniversityAdresse e-mail validée de gse.harvard.edu
Bas HofstraAssistant Professor, Radboud UniversityAdresse e-mail validée de ru.nl
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Bryan HeStanford UniversityAdresse e-mail validée de stanford.edu
Haochen ChenMetaAdresse e-mail validée de cs.stonybrook.edu
Eran ShorProfessor of Sociology, McGill UniveristyAdresse e-mail validée de mcgill.ca
Arnout van de RijtEuropean University InstituteAdresse e-mail validée de eui.eu
Elizabeth BeldingUC Santa BarbaraAdresse e-mail validée de cs.ucsb.edu
Mai ElSheriefAssistant Professor, Northeastern UniversityAdresse e-mail validée de northeastern.edu
Dana NguyenUniversity of California, Santa BarbaraAdresse e-mail validée de ucsb.edu
Alex MiltsovBishop's UniversityAdresse e-mail validée de ubishops.ca
Lyle UngarUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Junting YeFacebookAdresse e-mail validée de cs.stonybrook.edu
Yashar MehdadMeta AIAdresse e-mail validée de fb.com

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Vivek Kulkarni

Grammarly; Twitter, Past: Stanford, Postdoctoral Scholar at Department of Computer Science

Adresse e-mail validée de cs.stonybrook.edu - Page d'accueil

Machine Learning Graph Mining Text Mining Theory


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv e-prints, arXiv: 1605.02688, 2016	1138*	2016
The diversity–innovation paradox in science B Hofstra, VV Kulkarni, S Munoz-Najar Galvez, B He, D Jurafsky, ... Proceedings of the National Academy of Sciences 117 (17), 9284-9291, 2020	687	2020
Statistically significant detection of linguistic change V Kulkarni, R Al-Rfou, B Perozzi, S Skiena Proceedings of the 24th international conference on world wide web, 625-635, 2015	538	2015
Don't walk, skip! online learning of multi-scale network embeddings B Perozzi, V Kulkarni, H Chen, S Skiena Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017	297*	2017
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media M ElSherief, V Kulkarni, D Nguyen, WY Wang, E Belding ICWSM 2018, 2018	296	2018
POLYGLOT-NER: Massive Multilingual Named Entity Recognition R Al-Rfou, V Kulkarni, B Perozzi, S Skiena Proceedings of the 2015 SIAM International Conference on Data Mining, 586-594, 2015	198	2015
A paper ceiling: Explaining the persistent underrepresentation of women in printed news E Shor, A Van De Rijt, A Miltsov, V Kulkarni, S Skiena American Sociological Review 80 (5), 960-984, 2015	181	2015
Multi-view Models for Political Ideology Detection of News Articles V Kulkarni, J Ye, S Skiena, WY Wang EMNLP 2018, 2018	69	2018
Freshman or fresher? quantifying the geographic variation of internet language V Kulkarni, B Perozzi, S Skiena arXiv preprint arXiv:1510.06786, 2015	69*	2015
TWEETQA: A social media focused question answering dataset W Xiong, J Wu, H Wang, V Kulkarni, M Yu, S Chang, X Guo, WY Wang arXiv preprint arXiv:1907.06292, 2019	61	2019
Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approach V Kulkarni, ML Kern, D Stillwell, M Kosinski, S Matz, L Ungar, S Skiena, ... PLOS One, 2018	60	2018
Human centered NLP with user-factor adaptation V Lynn, Y Son, V Kulkarni, N Balasubramanian, HA Schwartz Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017	57	2017
Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016	42	2016
What should I ask? using conversationally informative rewards for goal-oriented visual dialog P Shukla, C Elmadjian, R Sharan, V Kulkarni, M Turk, WY Wang arXiv preprint arXiv:1907.12021, 2019	34	2019
To drop or not to drop: Robustness, consistency and differential privacy properties of dropout P Jain, V Kulkarni, A Thakurta, O Williams arXiv preprint arXiv:1503.02031, 2015	33	2015
Dolores: deep contextualized knowledge graph embeddings H Wang, V Kulkarni, WY Wang arXiv preprint arXiv:1811.00147, 2018	31	2018
Simple models for word formation in slang V Kulkarni, WY Wang Proceedings of the 2018 Conference of the North American Chapter of the …, 2018	24*	2018
Multilabel learning via supervised joint embedding of documents and labels A Soni, Y Mehdad, A Pappu, V Kulkarni, S Chen US Patent 10,552,501, 2020	22	2020
TopicBERT for energy efficient document classification Y Chaudhary, P Gupta, K Saxena, V Kulkarni, T Runkler, H Schütze arXiv preprint arXiv:2010.16407, 2020	19	2020
Inducing Language Networks from Continuous Space Word Representations SS Bryan Perozzi, Rami Al-Rfou’, Vivek Kulkarni Complex Net V 549, 261-273, 2014	16*	2014

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