Piyush Rai (पीयूष राय)

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	All	Since 2016
Citations	2982	2320
h-index	25	22
i10-index	45	36

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200920102011201220132014201520162017201820192020202120 24 49 82 130 125 193 226 285 381 555 756 115

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Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Vinay Kumar VermaPost Doctoral Fellow, Duke University, USAVerified email at duke.edu
Lawrence CarinProfessor of Electrical and Computer Engineering, Duke UniversityVerified email at ece.duke.edu
Abhishek KumarGoogle BrainVerified email at google.com
Changwei HuYahoo ResearchVerified email at oath.com
Suresh VenkatasubramanianSchool of Computing, University of UtahVerified email at cs.utah.edu
Avishek SahaMachine Learning Scientist, AmazonVerified email at amazon.com
Chen ChangyouAssistant Professor at University at BuffaloVerified email at buffalo.edu
Scott L. DuVallDepartment of Veterans Affairs and Epidemiology, University of Utah School of MedicineVerified email at utah.edu
Wenlin WangDuke UniversityVerified email at duke.edu
anusua trivediAI for Good Research Lab, MicrosoftVerified email at microsoft.com
Yingjian WangSAS InstituteVerified email at sas.com
Matthew HardingProfessor of Economics and StatisticsVerified email at uci.edu
Gary K ChenFormer Assistant Professor, University of Southern CAVerified email at caseyandgary.com
David DunsonArts & Sciences Professor of Statistical Science & MathematicsVerified email at duke.edu
Yizhe ZhangSenior Researcher at Microsoft Research (Redmond)Verified email at microsoft.com
Yunchen PuResearch Scientist, FacebookVerified email at fb.com
Ricardo HenaoDuke UniversityVerified email at duke.edu
Wenzhao LianGoogle XVerified email at duke.edu
Alexandre PassosGoogle researchVerified email at cs.umass.edu

Piyush Rai (पीयूष राय)

IIT Kanpur

Verified email at cse.iitk.ac.in - Homepage

Machine Learning Bayesian Statistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Co-regularized multi-view spectral clustering A Kumar, P Rai, H Daume NIPS 2011, 2011	794	2011
Generalized zero-shot learning via synthesized examples V Kumar Verma, G Arora, A Mishra, P Rai CVPR 2018, 2018	215*	2018
A Deep Generative Framework for Paraphrase Generation A Gupta, A Agarwal, P Singh, P Rai AAAI 2018, 2018	122	2018
A Simple Exponential Family Framework for Zero-Shot Learning VK Verma, P Rai ECML 2017, 2017	122	2017
Online learning of multiple tasks and their relationships A Saha, P Rai, H Daumé III, S Venkatasubramanian AISTATS 2011, 2011	111	2011
Scalable Bayesian low-rank decomposition of incomplete multiway tensors P Rai, Y Wang, S Guo, G Chen, D Dunson, L Carin ICML 2014, 2014	101	2014
Domain adaptation meets active learning P Rai, A Saha, H Daumé III, S Venkatasubramanian NAACL HLT 2010, 27-32, 2010	101	2010
Zero-shot learning via class-conditioned deep generative models W Wang, Y Pu, VK Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin AAAI 2018, 2018	99	2018
The infinite hierarchical factor regression model P Rai, H Daumé III NIPS 2008, 2008	82	2008
Multi-label prediction via sparse infinite CCA P Rai, H Daume NIPS 2009, 2009	80	2009
Infinite predictor subspace models for multitask learning P Rai, H Daumé III AISTATS 2010, 2010	77	2010
Multiview clustering with incomplete views A Trivedi, P Rai, H Daumé III, SL DuVall NIPS 2010 Social Computing Workshop, 2010	75	2010
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression. P Rai, A Kumar, H Daumé III NIPS 2012, 2012	60	2012
Active supervised domain adaptation A Saha, P Rai, H Daumé III, S Venkatasubramanian, SL DuVall Machine Learning and Knowledge Discovery in Databases, 97-112, 2011	58	2011
A Generative Approach to Zero-Shot and Few-Shot Action Recognition A Mishra, VK Verma, M Reddy, P Rai, A Mittal WACV 2018, 2018	55	2018
Flexible Modeling of Latent Task Structures in Multitask Learning A Passos, P Rai, J Wainer, H Daume III ICML 2012, 2012	53	2012
Streamed learning: one-pass SVMs P Rai, H Daumé, S Venkatasubramanian IJCAI 2009, 2009	44	2009
Hetconv: Heterogeneous kernel-based convolutions for deep cnns P Singh, VK Verma, P Rai, VP Namboodiri Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	40	2019
Scalable bayesian non-negative tensor factorization for massive count data C Hu, P Rai, C Chen, M Harding, L Carin ECML 2015, 53-70, 2015	40	2015
Incorporating syntactic and semantic information in word embeddings using graph convolutional networks S Vashishth, M Bhandari, P Yadav, P Rai, C Bhattacharyya, P Talukdar arXiv preprint arXiv:1809.04283, 2018	37*	2018

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