Sujay Khandagale

According to our database, Sujay Khandagale authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On the Generalizability and Predictability of Recommender Systems.

Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages.

Ramy Eskander, Cass Lowry, Sujay Khandagale, Judith Klavans, Maria Polinsky, Smaranda Muresan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Towards Unsupervised Morphological Analysis of Polysynthetic Languages.

Sujay Khandagale, Yoann Léveillé, Samuel Miller, Derek Pham, Ramy Eskander, Cass Lowry, Richard Compton, Judith Klavans, Maria Polinsky, Smaranda Muresan

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021

Synthetic Benchmarks for Scientific Research in Explainable Machine Learning.

Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors.

Ramy Eskander, Cass Lowry, Sujay Khandagale, Francesca Callejas, Judith Klavans, Maria Polinsky, Smaranda Muresan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Bonsai: diverse and shallow trees for extreme multi-label classification.

Sujay Khandagale, Han Xiao, Rohit Babbar

Mach. Learn., 2020

Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification.

Mohammadreza Qaraei, Sujay Khandagale, Rohit Babbar

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

A Simple and Effective Scheme for Data Pre-processing in Extreme Classification.

Sujay Khandagale, Rohit Babbar

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019