Rohan Ramanath

According to our database, Rohan Ramanath authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, J. Kenneth Tay, Rupesh Gupta

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications.

Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An Attentive Survey of Attention Models.

Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath

ACM Trans. Intell. Syst. Technol., 2021

Logit Attenuating Weight Normalization.

Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi

CoRR, 2021

Efficient Algorithms for Global Inference in Internet Marketplaces.

Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu

CoRR, 2021

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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

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, Norman M. Sadeh, Noah A. Smith

ACM Trans. Web, 2019

2018

Deploying Deep Ranking Models for Search Verticals.

Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou

CoRR, 2018

Towards Deep and Representation Learning for Talent Search at LinkedIn.

Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016

Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work?

Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu

Proceedings of the 25th International Conference on World Wide Web, 2016

2014

Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations.

Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith

Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements.

Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith

Proceedings of the COLING 2014, 2014

Unsupervised Alignment of Privacy Policies using Hidden Markov Models.

Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes.

Rohan Ramanath, Monojit Choudhury, Kalika Bali

Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, 2013

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

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013