| 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 | 1171* | 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 | 978 | 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 | 618 | 2015 |
| 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 | 392 | 2018 |
| 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 | 344* | 2017 |
| 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 | 233 | 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 | 226 | 2015 |
| Multi-view Models for Political Ideology Detection of News Articles V Kulkarni, J Ye, S Skiena, WY Wang EMNLP 2018, 2018 | 95 | 2018 |
| 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 | 86 | 2019 |
| Freshman or fresher? quantifying the geographic variation of internet language V Kulkarni, B Perozzi, S Skiena arXiv preprint arXiv:1510.06786, 2015 | 81* | 2015 |
| 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 | 74 | 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 | 73 | 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 | 52 | 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 | 38 | 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 | 38 | 2015 |
| Dolores: deep contextualized knowledge graph embeddings H Wang, V Kulkarni, WY Wang arXiv preprint arXiv:1811.00147, 2018 | 37 | 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 | 31* | 2018 |
| TopicBERT for energy efficient document classification Y Chaudhary, P Gupta, K Saxena, V Kulkarni, T Runkler, H Schütze arXiv preprint arXiv:2010.16407, 2020 | 30 | 2020 |
| 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 | 28 | 2020 |
| Inducing Language Networks from Continuous Space Word Representations SS Bryan Perozzi, Rami Al-Rfou’, Vivek Kulkarni Complex Net V 549, 261-273, 2014 | 17* | 2014 |
Steven SkienaProfessor of Computer Science, Stony Brook UniversityVerified email at cs.stonybrook.edu
