Sujay Khandagale

15 papers A* 2B 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features.
WWW (Companion Volume)
Sujay Khandagale, Bhawna Juneja, Prabhat Agarwal, Aditya Subramanian, Jaewon Yang, Yuting Wang
2025 J jnl
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features.
CoRR
Sujay Khandagale, Bhawna Juneja, Prabhat Agarwal, Aditya Subramanian, Jaewon Yang, Yuting Wang
2023 A* conf
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
NeurIPS
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
2023 J jnl
When Do Neural Nets Outperform Boosted Trees on Tabular Data?
CoRR
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ramakrishnan, Micah Goldblum, Colin White
2022 A* conf
On the Generalizability and Predictability of Recommender Systems.
NeurIPS
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White
2022 J jnl
On the Generalizability and Predictability of Recommender Systems.
CoRR
Duncan C. McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White
2022 — conf
Towards Unsupervised Morphological Analysis of Polysynthetic Languages.
AACL/IJCNLP (2)
Sujay Khandagale, Yoann Léveillé, Samuel Miller, Derek Pham, Ramy Eskander, Cass Lowry, Richard Compton, Judith Klavans, Maria Polinsky, Smaranda Muresan
2022 — conf
Unsupervised Stem-based Cross-lingual Part-of-Speech Tagging for Morphologically Rich Low-Resource Languages.
NAACL-HLT
Ramy Eskander, Cass Lowry, Sujay Khandagale, Judith Klavans, Maria Polinsky, Smaranda Muresan
2021 — conf
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors.
ACL/IJCNLP (Findings)
Ramy Eskander, Cass Lowry, Sujay Khandagale, Francesca Callejas, Judith Klavans, Maria Polinsky, Smaranda Muresan
2021 — conf
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning.
NeurIPS Datasets and Benchmarks
Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
2021 J jnl
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning.
CoRR
Yang Liu, Sujay Khandagale, Colin White, Willie Neiswanger
2020 J jnl
Bonsai: diverse and shallow trees for extreme multi-label classification.
Mach. Learn.
Sujay Khandagale, Han Xiao, Rohit Babbar
2020 B conf
Why state-of-the-art deep learning barely works as good as a linear classifier in extreme multi-label text classification.
ESANN
Mohammadreza Qaraei, Sujay Khandagale, Rohit Babbar
2019 B conf
A Simple and Effective Scheme for Data Pre-processing in Extreme Classification.
ESANN
Sujay Khandagale, Rohit Babbar
2019 J jnl
Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification.
CoRR
Sujay Khandagale, Han Xiao, Rohit Babbar