A Simple and Effective Scheme for Data Pre-processing in Extreme Classification. - Sujay Khandagale; Rohit Babbar (ESANN, 2019)

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 (ESANN, 2020)

Bonsai: diverse and shallow trees for extreme multi-label classification. - Sujay Khandagale; Han Xiao; Rohit Babbar (Mach. Learn., 2020)

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors. - Ramy Eskander; Cass Lowry; Sujay Khandagale; Francesca Callejas; Judith Klavans; Maria Polinsky; Smaranda Muresan (ACL/IJCNLP (Findings), 2021)

Synthetic Benchmarks for Scientific Research in Explainable Machine Learning. - Yang Liu; Sujay Khandagale; Colin White; Willie Neiswanger (NeurIPS Datasets and Benchmarks, 2021)

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 (AACL/IJCNLP (2), 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 (NAACL-HLT, 2022)

On the Generalizability and Predictability of Recommender Systems. - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; John Dickerson 001; Colin White (NeurIPS, 2022)

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 (NeurIPS, 2023)

InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features. - Sujay Khandagale; Bhawna Juneja; Prabhat Agarwal; Aditya Subramanian 004; Jaewon Yang; Yuting Wang (WWW (Companion Volume), 2025)