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 | 767 | 2021 |
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 | 379 | 2015 |
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 | 121 | 2016 |
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 | 73 | 2014 |
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 | 66 | 2014 |
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 | 60 | 2018 |
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 | 39 | 2018 |
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 | 24 | 2021 |
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 | 21 | 2014 |
Embedding user categories using graphs for enhancing searches based on similarities R Ramanath, I Belousova US Patent 11,372,940, 2022 | 14 | 2022 |
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 | 12 | 2021 |
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 | 11 | 2019 |
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 | 11 | 2013 |
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 | 10 | 2021 |
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 | 10 | 2020 |
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 | 9 | 2021 |
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 | 8 | 2020 |
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 | 7 | 2014 |
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 | 5 | 2022 |
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 | 5 | 2020 |