Rohan Ramanath

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 13

Top Topics

Privacy Policies

Top Venues

Publications

Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. KDD (2023)
Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. AAAI (2022)
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar
Lambda Learner: Fast Incremental Learning on Data Streams. KDD (2021)
Rohan Ramanath, Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
Efficient Algorithms for Global Inference in Internet Marketplaces. CoRR (2021)
Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath
An Attentive Survey of Attention Models. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi
Logit Attenuating Weight Normalization. CoRR (2021)
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar
Lambda Learner: Fast Incremental Learning on Data Streams. CoRR (2020)
Shomir Wilson, Florian Schaub, Frederick Liu, Kanthashree Mysore Sathyendra, Daniel Smullen, Sebastian Zimmeck, Rohan Ramanath, Peter Story, Fei Liu, Norman M. Sadeh, Noah A. Smith
Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. ACM Trans. Web 13 (1) (2019)
Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal
An Attentive Survey of Attention Models. CoRR (2019)
Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou
Deploying Deep Ranking Models for Search Verticals. CoRR (2018)
Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik
Towards Deep and Representation Learning for Talent Search at LinkedIn. CoRR (2018)
Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik
Towards Deep and Representation Learning for Talent Search at LinkedIn. CIKM (2018)
Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu
Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? WWW (2016)
Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith
Unsupervised Alignment of Privacy Policies using Hidden Markov Models. ACL (2) (2014)
Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith
Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. HCOMP (2014)
Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith
A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. COLING (2014)
Rohan Ramanath, Monojit Choudhury, Kalika Bali, Rishiraj Saha Roy
Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation. ACL (1) (2013)
Rohan Ramanath, Monojit Choudhury, Kalika Bali
Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes. LAW@ACL (2013)