Sujay Khandagale

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Machine Learning

Controlled Tabular Adjustment

Morphological Segmentation

Benchmark Suite

Top Venues

Publications

Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? CoRR (2023)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
When Do Neural Nets Outperform Boosted Trees on Tabular Data? NeurIPS (2023)
Ramy Eskander, Cass Lowry, Sujay Khandagale, Judith Klavans, Maria Polinsky, Smaranda Muresan
Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages. NAACL-HLT (2022)
Sujay Khandagale, Yoann Léveillé, Samuel Miller, Derek Pham, Ramy Eskander, Cass Lowry, Richard Compton, Judith Klavans, Maria Polinsky, Smaranda Muresan
Towards Unsupervised Morphological Analysis of Polysynthetic Languages. AACL/IJCNLP (2) (2022)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White
On the Generalizability and Predictability of Recommender Systems. CoRR (2022)
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
On the Generalizability and Predictability of Recommender Systems. NeurIPS (2022)
Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. NeurIPS Datasets and Benchmarks (2021)
Ramy Eskander, Cass Lowry, Sujay Khandagale, Francesca Callejas, Judith Klavans, Maria Polinsky, Smaranda Muresan
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors. ACL/IJCNLP (Findings) (2021)
Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. CoRR (2021)
Mohammadreza Qaraei, Sujay Khandagale, Rohit Babbar
Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification. ESANN (2020)
Sujay Khandagale, Han Xiao, Rohit Babbar
Bonsai: diverse and shallow trees for extreme multi-label classification. Mach. Learn. 109 (11) (2020)
Sujay Khandagale, Han Xiao, Rohit Babbar
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification. CoRR (2019)
Sujay Khandagale, Rohit Babbar
A Simple and Effective Scheme for Data Pre-processing in Extreme Classification. ESANN (2019)