Sujay Khandagale

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Colin WhiteCaltechVerified email at cs.cmu.edu
Rohit BabbarUniversity of Bath, UK and Aalto University, Helsinki, FinlandVerified email at aalto.fi
Han XiaoData Scientist at Unity TechnologiesVerified email at unity3d.com
Jonathan ValverdeGoogle DeepMindVerified email at google.com
Duncan C McElfreshStanford University, US Department of Veterans AffairsVerified email at stanford.edu
Yang LiuPhD, Computation and Neural Systems, California Institute of TechnologyVerified email at caltech.edu
Willie NeiswangerPostdoc, Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Maria PolinskyProfessor of Linguistics, Harvard UniversityVerified email at fas.harvard.edu
Smaranda MuresanColumbia UnviersityVerified email at ccls.columbia.edu
Ramy EskanderGoogleVerified email at google.com
Judith KlavansVerified email at umd.edu
Cass LowryThe Graduate Center, CUNYVerified email at gradcenter.cuny.edu
John P. DickersonAssociate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AIVerified email at cs.umd.edu
Mohammadreza QaraeiPhD student in Computer Science, Aalto UniversityVerified email at aalto.fi

Sujay Khandagale

Columbia University

Verified email at columbia.edu - Homepage

Machine Learning Natural Language Processing Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification S Khandagale, H Xiao, R Babbar Machine Learning Journal, 2019	132	2019
Synthetic benchmarks for scientific research in explainable machine learning Y Liu, S Khandagale, C White, W Neiswanger Advances in Neural Information Processing Systems (NeurIPS) 2021, 2021	43	2021
When Do Neural Nets Outperform Boosted Trees on Tabular Data? D McElfresh, S Khandagale, J Valverde, G Ramakrishnan, M Goldblum, ... arXiv preprint arXiv:2305.02997, 2023	10	2023
On the Generalizability and Predictability of Recommender Systems D McElfresh, S Khandagale, J Valverde, J Dickerson, C White Advances in Neural Information Processing Systems 35, 4416-4432, 2022	3	2022
Minimally-supervised morphological segmentation using adaptor grammars with linguistic priors R Eskander, C Lowry, S Khandagale, F Callejas, JL Klavans, M Polinsky, ... Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021	3	2021
Towards Unsupervised Morphological Analysis of Polysynthetic Languages S Khandagale, Y Léveillé, S Miller, D Pham, R Eskander, C Lowry, ... Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022	1	2022
Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages R Eskander, C Lowry, S Khandagale, J Klavans, M Polinsky, S Muresan Proceedings of the 2022 Conference of the North American Chapter of the …, 2022	1	2022
A Simple and Effective Scheme for Data Pre-processing in Extreme Classification. S Khandagale, R Babbar ESANN, 2019	1	2019
On the Generalizability and Predictability of Recommender Systems JP Dickerson, S Khandagale, DC McElfresh, J Valverde, C White First Conference on Automated Machine Learning (Late-Breaking Workshop), 2022		2022

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