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Vineeth Rakesh
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2020 – today
- 2024
- [c19]Weijieying Ren, Xiaoting Li, Huiyuan Chen, Vineeth Rakesh, Zhuoyi Wang, Mahashweta Das, Vasant G. Honavar:
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules. ICML 2024 - 2023
- [j1]Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy:
Supervised Contrastive Learning for Interpretable Long-Form Document Matching. ACM Trans. Knowl. Discov. Data 17(2): 27:1-27:17 (2023) - [c18]Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy:
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. EACL (Findings) 2023: 2300-2310 - [i6]Akshita Jha, Adithya Samavedhi, Vineeth Rakesh, Jaideep Chandrashekar, Chandan K. Reddy:
Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. CoRR abs/2302.03765 (2023) - 2022
- [c17]Mangesh Bendre, Mahashweta Das, Vineeth Rakesh, Fei Wang, Hao Yang:
bigg2vec: Fast and Memory-Efficient Representation Learning for Billion-Scale Graphs on a Single Machine. IEEE Big Data 2022: 835-843 - [c16]Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CIKM 2022: 4199-4203 - [i5]Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang:
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction. CoRR abs/2212.01440 (2022) - 2021
- [c15]Vineeth Rakesh, Swayambhoo Jain:
Efficacy of Bayesian Neural Networks in Active Learning. CVPR Workshops 2021: 2601-2609 - [i4]Vineeth Rakesh, Swayambhoo Jain:
Efficacy of Bayesian Neural Networks in Active Learning. CoRR abs/2104.00896 (2021) - [i3]Akshita Jha, Vineeth Rakesh, Jaideep Chandrashekar, Adithya Samavedhi, Chandan K. Reddy:
Supervised Contrastive Learning for Interpretable Long Document Comparison. CoRR abs/2108.09190 (2021) - 2020
- [c14]Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar:
User Modeling and Churn Prediction in Over-the-top Media Services. ORSUM@RecSys 2020
2010 – 2019
- 2019
- [c13]Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy:
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. CIKM 2019: 2723-2731 - [c12]Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh:
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. IJCAI 2019: 2038-2044 - [c11]Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu:
Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. WSDM 2019: 438-446 - [r1]Vineeth Rakesh, Lei Tang, Huan Liu:
Feature Learning from Social Graphs. Encyclopedia of Big Data Technologies 2019 - [i2]Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh:
Matrix Completion in the Unit Hypercube via Structured Matrix Factorization. CoRR abs/1905.12881 (2019) - 2018
- [c10]Nur Shazwani Kamarudin, Vineeth Rakesh, Ghazaleh Beigi, Lydia Manikonda, Huan Liu:
A Study of Reddit-User's Response to Rape. ASONAM 2018: 591-592 - [c9]Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu:
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CIKM 2018: 1679-1682 - [c8]Vineeth Rakesh, Weicong Ding, Aman Ahuja, Nikhil Rao, Yifan Sun, Chandan K. Reddy:
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews. WWW 2018: 1573-1582 - [i1]Vineeth Rakesh, Ruocheng Guo, Raha Moraffah, Nitin Agarwal, Huan Liu:
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects. CoRR abs/1808.03333 (2018) - 2017
- [c7]Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy:
Probabilistic Social Sequential Model for Tour Recommendation. WSDM 2017: 631-640 - 2016
- [c6]Yan Li, Vineeth Rakesh, Chandan K. Reddy:
Project Success Prediction in Crowdfunding Environments. WSDM 2016: 247-256 - [c5]Vineeth Rakesh, Wang-Chien Lee, Chandan K. Reddy:
Probabilistic Group Recommendation Model for Crowdfunding Domains. WSDM 2016: 257-266 - 2015
- [c4]Alexander Kotov, Vineeth Rakesh, Eugene Agichtein, Chandan K. Reddy:
Geographical Latent Variable Models for Microblog Retrieval. ECIR 2015: 635-647 - [c3]Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy:
Project Recommendation Using Heterogeneous Traits in Crowdfunding. ICWSM 2015: 337-346 - 2014
- [c2]Vineeth Rakesh, Dilpreet Singh, Bhanukiran Vinzamuri, Chandan K. Reddy:
Personalized Recommendation of Twitter Lists using Content and Network Information. ICWSM 2014 - 2013
- [c1]Vineeth Rakesh, Chandan K. Reddy, Dilpreet Singh, Ramachandran M. S.:
Location-specific tweet detection and topic summarization in Twitter. ASONAM 2013: 1441-1444
Coauthor Index
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