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Vineeth Rakesh
Vineeth Rakesh
Research Scientist at Visa
Verified email at visa.com - Homepage
Title
Cited by
Cited by
Year
Project success prediction in crowdfunding environments
Y Li, V Rakesh, CK Reddy
Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016
1272016
Project recommendation using heterogeneous traits in crowdfunding
V Rakesh, J Choo, CK Reddy
Proceedings of the International AAAI Conference on Web and Social Media 9 …, 2015
892015
Probabilistic group recommendation model for crowdfunding domains
V Rakesh, WC Lee, CK Reddy
Proceedings of the ninth ACM international conference on web search and data …, 2016
862016
Personalized recommendation of twitter lists using content and network information
V Rakesh, D Singh, B Vinzamuri, CK Reddy
Proceedings of the International AAAI Conference on Web and Social Media 8 …, 2014
572014
Linked causal variational autoencoder for inferring paired spillover effects
V Rakesh, R Guo, R Moraffah, N Agarwal, H Liu
Proceedings of the 27th ACM International Conference on Information and …, 2018
392018
Probabilistic social sequential model for tour recommendation
V Rakesh, N Jadhav, A Kotov, CK Reddy
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
362017
Linked variational autoencoders for inferring substitutable and supplementary items
V Rakesh, S Wang, K Shu, H Liu
Proceedings of the twelfth acm international conference on web search and …, 2019
292019
Location-specific tweet detection and topic summarization in twitter
V Rakesh, CK Reddy, D Singh, R MS
Proceedings of the 2013 IEEE/ACM International Conference on Advances in …, 2013
29*2013
A sparse topic model for extracting aspect-specific summaries from online reviews
V Rakesh, W Ding, A Ahuja, N Rao, Y Sun, CK Reddy
Proceedings of the 2018 World Wide Web Conference, 1573-1582, 2018
282018
Geographical latent variable models for microblog retrieval
A Kotov, V Rakesh, E Agichtein, CK Reddy
Advances in Information Retrieval: 37th European Conference on IR Research …, 2015
142015
A study of reddit-user's response to rape
NS Kamarudin, V Rakesh, G Beigi, L Manikouda, H Liu
2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018
132018
Document-level multi-aspect sentiment classification for online reviews of medical experts
T Shi, V Rakesh, S Wang, CK Reddy
Proceedings of the 28th ACM International Conference on Information and …, 2019
112019
Efficacy of bayesian neural networks in active learning
V Rakesh, S Jain
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
102021
Supervised contrastive learning for interpretable long-form document matching
A Jha, V Rakesh, J Chandrashekar, A Samavedhi, CK Reddy
ACM Transactions on Knowledge Discovery from Data 17 (2), 1-17, 2023
82023
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
X Li, Y Wu, V Rakesh, Y Lin, H Yang, F Wang
Proceedings of the 31st ACM International Conference on Information …, 2022
42022
Matrix completion in the unit hypercube via structured matrix factorization
E Bugliarello, S Jain, V Rakesh
arXiv preprint arXiv:1905.12881, 2019
42019
User Modeling and Churn Prediction in Over-the-top Media Services
V Rakesh, A Pudiyavitil, J Chandrashekar
ORSUM workshop at 14th ACM Conference on Recommender Systems, 2020
12020
Probabilistic Personalized Recommendation Models For Heterogeneous Social Data
VR Mohan
Wayne State University, 2017
12017
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis
A Jha, A Samavedhi, V Rakesh, J Chandrashekar, CK Reddy
arXiv preprint arXiv:2302.03765, 2023
2023
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine
M Bendre, M Das, V Rakesh, F Wang, H Yang
2022 IEEE International Conference on Big Data (Big Data), 835-843, 2022
2022
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