| Collective annotation of wikipedia entities in web text S Kulkarni, A Singh, G Ramakrishnan, S Chakrabarti Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 622 | 2009 |
| Learning dense representations for entity retrieval D Gillick, S Kulkarni, L Lansing, A Presta, J Baldridge, E Ie, ... Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 243 | 2019 |
| Wildlife insights: A platform to maximize the potential of camera trap and other passive sensor wildlife data for the planet JA Ahumada, E Fegraus, T Birch, N Flores, R Kays, TG O’Brien, J Palmer, ... Environmental Conservation 47 (1), 1-6, 2020 | 186 | 2020 |
| Comparative study of clustering techniques for short text documents A Rangrej, S Kulkarni, AV Tendulkar Proceedings of the 20th international conference companion on World wide web …, 2011 | 127 | 2011 |
| Seq2slate: Re-ranking and slate optimization with rnns I Bello, S Kulkarni, S Jain, C Boutilier, E Chi, E Eban, X Luo, A Mackey, ... Workshop on Negative Dependence in Machine Learning at the 36th …, 2018 | 88 | 2018 |
| Aquamuse: Automatically generating datasets for query-based multi-document summarization S Kulkarni, S Chammas, W Zhu, F Sha, E Ie arXiv preprint arXiv:2010.12694, 2020 | 52 | 2020 |
| Spatial Language Representation with Multi-Level Geocoding S Kulkarni, S Jain, MJ Hosseini, J Baldridge, E Ie, L Zhang arXiv preprint arXiv:2008.09236, 2020 | 21 | 2020 |
| Multi-Level Gazetteer-Free Geocoding S Kulkarni, S Jain, MJ Hosseini, J Baldridge, E Ie, L Zhang Proceedings of Second International Combined Workshop on Spatial Language …, 2021 | 15 | 2021 |
| Dynamic composition for conversational domain exploration I Szpektor, D Cohen, G Elidan, M Fink, A Hassidim, O Keller, S Kulkarni, ... Proceedings of the web conference 2020, 872-883, 2020 | 13 | 2020 |
| Artificial intelligence's role in global camera trap data management and analytics via wildlife insights D Thau, JA Ahumada, T Birch, E Fegraus, N Flores, W Jetz, R Kays, ... Biodiversity Information Science and Standards 3, e38233, 2019 | 10 | 2019 |
| CoMSum and SIBERT: A Dataset and Neural Model for Query-Based Multi-document Summarization S Kulkarni, S Chammas, W Zhu, F Sha, E Ie Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021 | 8 | 2021 |
| Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, and Ofer Meshi. 2018. Seq2Slate: Re-ranking and Slate Optimization with RNNs. CoRR abs/1810.02019 (2018) I Bello, S Kulkarni, S Jain, C Boutilier arXiv preprint arXiv:1810.02019, 0 | 7 | |
| Curating and searching the annotated web A Singh, S Kulkarni, S Banerjee, G Ramakrishnan, S Chakrabarti SIGKDD Conference, 2009 | 5 | 2009 |
| Systems and Methods for Slate Optimization with Recurrent Neural Networks OP Meshi, I Bello, S Kulkarni, S Jain US Patent App. 16/415,854, 2019 | 3 | 2019 |
| Where do we go from here? multi-scale allocentric relational inferencefrom natural spatial descriptions T Paz-Argaman, J Palowitch, S Kulkarni, J Baldridge, R Tsarfaty Proceedings of the 18th Conference of the European Chapter of the …, 2024 | 2 | 2024 |
| Systems and methods for slate optimization with recurrent neural networks OP Meshi, I Bello, SS Kulkarni, S Jain US Patent 10,592,777, 2020 | 2 | 2020 |
| Into the Unknown: Generating Geospatial Descriptions for New Environments T Paz-Argaman, J Palowitch, S Kulkarni, R Tsarfaty, J Baldridge arXiv preprint arXiv:2406.19967, 2024 | 1 | 2024 |
| Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions T Paz-Argaman, S Kulkarni, J Palowitch, J Baldridge, R Tsarfaty arXiv preprint arXiv:2402.16364, 2024 | | 2024 |
| Unifying data for fine-grained visual species classification S Kulkarni, T Gadot, C Luo, T Birch, E Fegraus arXiv preprint arXiv:2009.11433, 2020 | | 2020 |
| RFID Security A Savagaonkar, J Waghmare, N Nikam, S Kulkarni | | 2007 |
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