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Rohan Ramanath
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An attentive survey of attention models
S Chaudhari, V Mithal, G Polatkan, R Ramanath
ACM Transactions on Intelligent Systems and Technology (TIST) 12 (5), 1-32, 2021
7222021
Disagreeable privacy policies: Mismatches between meaning and users' understanding
JR Reidenberg, T Breaux, LF Cranor, B French, A Grannis, JT Graves, ...
Berkeley Tech. LJ 30, 39, 2015
3592015
Crowdsourcing annotations for websites' privacy policies: Can it really work?
S Wilson, F Schaub, R Ramanath, N Sadeh, F Liu, NA Smith, F Liu
Proceedings of the 25th International Conference on World Wide Web, 133-143, 2016
1182016
Unsupervised Alignment of Privacy Policies using Hidden Markov Models
R Ramanath, F Liu, N Sadeh, NA Smith
Proceedings of the Association for Computational Linguistics (2014), 605-610, 2014
732014
A step towards usable privacy policy: Automatic alignment of privacy statements
F Liu, R Ramanath, N Sadeh, NA Smith
Proceedings of COLING 2014, the 25th International Conference on …, 2014
642014
Towards deep and representation learning for talent search at linkedin
R Ramanath, H Inan, G Polatkan, B Hu, Q Guo, C Ozcaglar, X Wu, ...
Proceedings of the 27th ACM international conference on information and …, 2018
602018
Analyzing privacy policies at scale: From crowdsourcing to automated annotations
S Wilson, F Schaub, F Liu, KM Sathyendra, D Smullen, S Zimmeck, ...
ACM Transactions on the Web (TWEB) 13 (1), 1-29, 2018
392018
Towards usable privacy policies: Semi-automatically extracting data practices from websites’ privacy policies
N Sadeh, A Acquisti, TD Breaux, LF Cranor, AM McDonald, J Reidenberg, ...
Poster Proceedings, SOUPS, 9-11, 2014
212014
Adam vs. sgd: Closing the generalization gap on image classification
A Gupta, R Ramanath, J Shi, SS Keerthi
OPT2021: 13th Annual Workshop on Optimization for Machine Learning, 2021
202021
Embedding user categories using graphs for enhancing searches based on similarities
R Ramanath, I Belousova
US Patent 11,372,940, 2022
132022
Deep neural network architecture for search
R Ramanath, G Polatkan, L Xu, B Hu, S Zhou, HH Lee
US Patent App. 15/941,314, 2019
112019
Crowd prefers the middle path: A new iaa metric for crowdsourcing reveals turker biases in query segmentation
R Ramanath, M Choudhury, K Bali, RS Roy
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
112013
Recommendations using session relevance and incremental learning
R Ramanath, K Salomatin, JD Gee, OA Dalal, G Polatkan, SS Gerrard, ...
US Patent App. 16/912,245, 2021
92021
Lambda learner: Fast incremental learning on data streams
R Ramanath, K Salomatin, JD Gee, K Talanine, O Dalal, G Polatkan, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
92021
Techniques for querying user profiles using neural networks
R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik
US Patent 10,795,897, 2020
92020
Unsupervised learning of entity representations using graphs
R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik
US Patent 11,106,979, 2021
82021
Generating supervised embedding representations for search
R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik
US Patent App. 16/021,639, 2020
72020
Identifying relevant text fragments to help crowdsource privacy policy annotations
R Ramanath, F Schaub, S Wilson, F Liu, N Sadeh, N Smith
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 …, 2014
72014
Applying learning-to-rank for search
R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik
US Patent App. 16/021,692, 2020
52020
Efficient vertex-oriented polytopic projection for web-scale applications
R Ramanath, SS Keerthi, Y Pan, K Salomatin, K Basu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3821-3829, 2022
42022
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