Vineeth Rakesh

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules.

Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Supervised Contrastive Learning for Interpretable Long-Form Document Matching.

Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy

ACM Trans. Knowl. Discov. Data, February, 2023

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis.

Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy

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.

Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang

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.

Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Supervised Contrastive Learning for Interpretable Long Document Comparison.

Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy

CoRR, 2021

Efficacy of Bayesian Neural Networks in Active Learning.

Vineeth Rakesh, Swayambhoo Jain

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.

Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar

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.

Vineeth Rakesh, Lei Tang, Huan Liu

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.

Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization.

Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.

Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy

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.

Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Study of Reddit-User's Response to Rape.

Nur Shazwani Kamarudin, Vineeth Rakesh, Ghazaleh Beigi, Lydia Manikonda, Huan Liu

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.

Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016

Probabilistic Group Recommendation Model for Crowdfunding Domains.

Vineeth Rakesh, Wang-Chien Lee, Chandan K. Reddy

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Project Success Prediction in Crowdfunding Environments.

Yan Li, Vineeth Rakesh, Chandan K. Reddy

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

2015

Project Recommendation Using Heterogeneous Traits in Crowdfunding.

Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Geographical Latent Variable Models for Microblog Retrieval.

Alexander Kotov, Vineeth Rakesh, Eugene Agichtein, Chandan K. Reddy

Proceedings of the Advances in Information Retrieval, 2015

2014

Personalized Recommendation of Twitter Lists using Content and Network Information.

Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy

Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

2013

Location-specific tweet detection and topic summarization in Twitter.

Vineeth Rakesh, Chandan K. Reddy, Dilpreet Singh, Ramachandran M. S.

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013