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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
1662019
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
120*2024
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
762021
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
82022
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
42022
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
Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification
MM Qaraei, S Khandagale, R Babbar
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2020
42020
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
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2019
12019
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Articles 1–9