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ORCIDRohan Ramanath
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2020 – today
- 2023
[c10]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: 5781-5782- 2022
- [c9]Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu:
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. AAAI 2022: 3821-3829 - 2021
- [j2]Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath:
An Attentive Survey of Attention Models. ACM Trans. Intell. Syst. Technol. 12(5): 53:1-53:32 (2021) - [c8]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: 3492-3502 - [i6]Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu:
Efficient Algorithms for Global Inference in Internet Marketplaces. CoRR abs/2103.05277 (2021) - [i5]Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi:
Logit Attenuating Weight Normalization. CoRR abs/2108.05839 (2021) - 2020
- [i4]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 abs/2010.05154 (2020)
2010 – 2019
- 2019
- [j1]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): 1:1-1:29 (2019) - [i3]Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal:
An Attentive Survey of Attention Models. CoRR abs/1904.02874 (2019) - 2018
- [c7]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: 2253-2261 - [i2]Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou:
Deploying Deep Ranking Models for Search Verticals. CoRR abs/1806.02281 (2018) - [i1]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 abs/1809.06473 (2018) - 2016
- [c6]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: 133-143 - 2014
- [c5]Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith:
Unsupervised Alignment of Privacy Policies using Hidden Markov Models. ACL (2) 2014: 605-610 - [c4]Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith:
A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. COLING 2014: 884-894 - [c3]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: 54-55 - 2013
- [c2]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: 1713-1722 - [c1]Rohan Ramanath, Monojit Choudhury, Kalika Bali:
Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes. LAW@ACL 2013: 42-50
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