Rohan Ramanath

Orcid: 0009-0007-4493-8139

According to our database1, Rohan Ramanath authored at least 15 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
An Attentive Survey of Attention Models.
ACM Trans. Intell. Syst. Technol., 2021

Logit Attenuating Weight Normalization.
CoRR, 2021

Efficient Algorithms for Global Inference in Internet Marketplaces.
CoRR, 2021

Lambda Learner: Fast Incremental Learning on Data Streams.
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.
ACM Trans. Web, 2019

2018
Deploying Deep Ranking Models for Search Verticals.
CoRR, 2018

Towards Deep and Representation Learning for Talent Search at LinkedIn.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2016
Crowdsourcing Annotations for Websites' Privacy Policies: Can It Really Work?
Proceedings of the 25th International Conference on World Wide Web, 2016

2014
Identifying Relevant Text Fragments to Help Crowdsource Privacy Policy Annotations.
Proceedings of the Seconf AAAI Conference on Human Computation and Crowdsourcing, 2014

A Step Towards Usable Privacy Policy: Automatic Alignment of Privacy Statements.
Proceedings of the COLING 2014, 2014

Unsupervised Alignment of Privacy Policies using Hidden Markov Models.
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.
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.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013


  Loading...