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Sujay Khandagale
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Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification
S Khandagale, H Xiao, R Babbar
Machine Learning Journal, 2019
1322019
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
432021
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
102023
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
32022
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 2021á…, 2021
32021
Towards Unsupervised Morphological Analysis of Polysynthetic Languages
S Khandagale, Y LÚveillÚ, S Miller, D Pham, R Eskander, C Lowry, ...
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of theá…, 2022
12022
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 theá…, 2022
12022
A Simple and Effective Scheme for Data Pre-processing in Extreme Classification.
S Khandagale, R Babbar
ESANN, 2019
12019
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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Articles 1–9