Vineeth Rakesh

Orcid: 0000-0001-7586-0257

According to our database1, Vineeth Rakesh authored at least 22 papers between 2013 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Supervised Contrastive Learning for Interpretable Long-Form Document Matching.
ACM Trans. Knowl. Discov. Data, February, 2023

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Supervised Contrastive Learning for Interpretable Long Document Comparison.
CoRR, 2021

Efficacy of Bayesian Neural Networks in Active Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
User Modeling and Churn Prediction in Over-the-top Media Services.
Proceedings of the 3rd Workshop on Online Recommender Systems and User Modeling co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2019
Feature Learning from Social Graphs.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Study of Reddit-User's Response to Rape.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Probabilistic Social Sequential Model for Tour Recommendation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
Probabilistic Group Recommendation Model for Crowdfunding Domains.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Project Success Prediction in Crowdfunding Environments.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015
Project Recommendation Using Heterogeneous Traits in Crowdfunding.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

Geographical Latent Variable Models for Microblog Retrieval.
Proceedings of the Advances in Information Retrieval, 2015

2014
Personalized Recommendation of Twitter Lists using Content and Network Information.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

2013
Location-specific tweet detection and topic summarization in Twitter.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013


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