Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation. - Rohan Ramanath; Monojit Choudhury; Kalika Bali; Rishiraj Saha Roy (ACL (1), 2013)

Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes. - Rohan Ramanath; Monojit Choudhury; Kalika Bali (LAW@ACL, 2013)

Unsupervised Alignment of Privacy Policies using Hidden Markov Models. - Rohan Ramanath; Fei Liu 004; Norman M. Sadeh; Noah A. Smith (ACL (2), 2014)

A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. - Fei Liu 004; Rohan Ramanath; Norman M. Sadeh; Noah A. Smith (COLING, 2014)

Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. - Rohan Ramanath; Florian Schaub; Shomir Wilson; Fei Liu 004; Norman M. Sadeh; Noah A. Smith (HCOMP, 2014)

Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? - Shomir Wilson; Florian Schaub; Rohan Ramanath; Norman M. Sadeh; Fei Liu 004; Noah A. Smith; Frederick Liu (WWW, 2016)

Towards Deep and Representation Learning for Talent Search at LinkedIn. - Rohan Ramanath; Hakan Inan; Gungor Polatkan; Bo Hu; Qi Guo 003; Cagri Ozcaglar; Xianren Wu; Krishnaram Kenthapadi; Sahin Cem Geyik (CIKM, 2018)

Deploying Deep Ranking Models for Search Verticals. - Rohan Ramanath; Gungor Polatkan; Liqin Xu; Harold Lee; Bo Hu; Shan Zhou (CoRR, 2018)

Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. - Shomir Wilson; Florian Schaub; Frederick Liu; Kanthashree Mysore Sathyendra; Daniel Smullen; Sebastian Zimmeck; Rohan Ramanath; Peter Story; Fei Liu 004; Norman M. Sadeh; Noah A. Smith (ACM Trans. Web, 2019)

Lambda Learner: Fast Incremental Learning on Data Streams. - Rohan Ramanath; Konstantin Salomatin; Jeffrey D. Gee; Kirill Talanine; Onkar Dalal; Gungor Polatkan; Sara Smoot; Deepak Kumar (KDD, 2021)

Efficient Algorithms for Global Inference in Internet Marketplaces. - Rohan Ramanath; S. Sathiya Keerthi; Yao Pan; Konstantin Salomatin; Kinjal Basu 001 (CoRR, 2021)

Logit Attenuating Weight Normalization. - Aman Gupta; Rohan Ramanath; Jun Shi; Anika Ramachandran; Sirou Zhou; Mingzhou Zhou; S. Sathiya Keerthi (CoRR, 2021)

An Attentive Survey of Attention Models. - Sneha Chaudhari; Varun Mithal; Gungor Polatkan; Rohan Ramanath (ACM Trans. Intell. Syst. Technol., 2021)

Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. - Rohan Ramanath; S. Sathiya Keerthi; Yao Pan; Konstantin Salomatin; Kinjal Basu 001 (AAAI, 2022)

Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. - Aman Gupta; S. Sathiya Keerthi; Ayan Acharya; Miao Cheng; Borja Ocejo Elizondo; Rohan Ramanath; Rahul Mazumder; Kinjal Basu 001; J. Kenneth Tay; Rupesh Gupta (KDD, 2023)

Your Spending Needs Attention: Modeling Financial Habits with Transformers. - D. T. Braithwaite; Misael Cavalcanti; R. Austin McEver; Hiroto Udagawa; Daniel Silva; Rohan Ramanath; Felipe Meneses; Arissa Yoshida; Evan Wingert; Matheus Ramos; Brian Zanfelice; Aman Gupta (CoRR, 2025)