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Sujay Khandagale
Sujay Khandagale
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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
1392019
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
472021
When do neural nets outperform boosted trees on tabular data?
D McElfresh, S Khandagale, J Valverde, V Prasad C, G Ramakrishnan, ...
Advances in Neural Information Processing Systems 36, 2024
252024
Vishak Prasad C
D McElfresh, S Khandagale, J Valverde
Ganesh Ramakrishnan, Micah Goldblum, and Colin White. When do neural nets …, 2023
62023
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
42021
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
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
32022
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
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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