Rohan Ramanath

20 papers A* 4A 1B 2Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Effective Quantization of Muon Optimizer States. CoRR Aman Gupta, Rafael Celente, Abhishek Shivanna, D. T. Braithwaite, Gregory Dexter, Shao Tang, Hiroto Udagawa, Daniel Silva, Rohan Ramanath, S. Sathiya Keerthi
2025	J	`jnl`	Your Spending Needs Attention: Modeling Financial Habits with Transformers. CoRR D. T. Braithwaite, Misael Cavalcanti, R. Austin McEver, Hiroto Udagawa, Daniel Silva, Rohan Ramanath, Felipe Meneses, Arissa Yoshida, Evan Wingert, Matheus Ramos, Brian Zanfelice, Aman Gupta
2023	A*	`conf`	Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. KDD Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta
2022	A*	`conf`	Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications. AAAI Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
2021	J	`jnl`	An Attentive Survey of Attention Models. ACM Trans. Intell. Syst. Technol. Sneha Chaudhari, Varun Mithal, Gungor Polatkan, Rohan Ramanath
2021	J	`jnl`	Efficient Algorithms for Global Inference in Internet Marketplaces. CoRR Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu
2021	A*	`conf`	Lambda Learner: Fast Incremental Learning on Data Streams. KDD Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar
2021	J	`jnl`	Logit Attenuating Weight Normalization. CoRR Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi
2020	J	`jnl`	Lambda Learner: Fast Incremental Learning on Data Streams. CoRR Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar
2019	J	`jnl`	An Attentive Survey of Attention Models. CoRR Sneha Chaudhari, Gungor Polatkan, Rohan Ramanath, Varun Mithal
2019	J	`jnl`	Analyzing Privacy Policies at Scale: From Crowdsourcing to Automated Annotations. ACM Trans. Web 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
2018	J	`jnl`	Deploying Deep Ranking Models for Search Verticals. CoRR Rohan Ramanath, Gungor Polatkan, Liqin Xu, Harold Lee, Bo Hu, Shan Zhou
2018	A	`conf`	Towards Deep and Representation Learning for Talent Search at LinkedIn. CIKM Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik
2018	J	`jnl`	Towards Deep and Representation Learning for Talent Search at LinkedIn. CoRR Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik
2016	A*	`conf`	Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work? WWW Shomir Wilson, Florian Schaub, Rohan Ramanath, Norman M. Sadeh, Fei Liu, Noah A. Smith, Frederick Liu
2014	B	`conf`	A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements. COLING Fei Liu, Rohan Ramanath, Norman M. Sadeh, Noah A. Smith
2014	B	`conf`	Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations. HCOMP Rohan Ramanath, Florian Schaub, Shomir Wilson, Fei Liu, Norman M. Sadeh, Noah A. Smith
2014	—	`conf`	Unsupervised Alignment of Privacy Policies using Hidden Markov Models. ACL (2) Rohan Ramanath, Fei Liu, Norman M. Sadeh, Noah A. Smith
2013	—	`conf`	Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation. ACL (1) Rohan Ramanath, Monojit Choudhury, Kalika Bali, Rishiraj Saha Roy
2013	—	`conf`	Entailment: An Effective Metric for Comparing and Evaluating Hierarchical and Non-hierarchical Annotation Schemes. LAW@ACL Rohan Ramanath, Monojit Choudhury, Kalika Bali