Piyush Rai (पीयूष राय)

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Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Vinay Kumar Verma@Amazon, Prev: IIT-Kanpur, Duke University, USAVerified email at duke.edu
Lawrence CarinProvost, King Abdullah University of Science & Technology (KAUST)Verified email at kaust.edu.sa
Abhishek KumarGoogle BrainVerified email at google.com
Pravendra SinghAssistant Professor, IIT RoorkeeVerified email at cs.iitr.ac.in
Vinay P. NamboodiriDepartment of Computer Science, University of BathVerified email at bath.ac.uk
Changwei HuYahoo ResearchVerified email at oath.com
Suresh VenkatasubramanianSchool of Computing, University of UtahVerified email at cs.utah.edu
Wenlin WangFacebook IncVerified email at fb.com
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
Nikhil MehtaDuke UniversityVerified email at duke.edu
Dhanajit BrahmaPhD Student, Dept. of CSE, Indian Institute of Technology KanpurVerified email at iitk.ac.in
Partha TalukdarGoogle Research and IISc BangaloreVerified email at iisc.ac.in
anusua trivediFlipkart Research, USAVerified email at flipkart.com
Yingjian WangSAS InstituteVerified email at sas.com
Anurag MittalProfessor of Computer Science and Engg., IIT Madras, INDIAVerified email at cse.iitm.ac.in
Arvind AgarwalPalo Alto Research Center, Rochester NYVerified email at xerox.com
Matthew HardingProfessor of Economics and StatisticsVerified email at uci.edu

Piyush Rai (पीयूष राय)

Computer Science and Engineering, IIT Kanpur

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

machine learning probabilistic machine learning artificial intelligence


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	1036	2011
Generalized zero-shot learning via synthesized examples V Kumar Verma, G Arora, A Mishra, P Rai CVPR 2018, 2018	355*	2018
A Deep Generative Framework for Paraphrase Generation A Gupta, A Agarwal, P Singh, P Rai AAAI 2018, 2018	198	2018
A Simple Exponential Family Framework for Zero-Shot Learning VK Verma, P Rai ECML 2017, 2017	184	2017
Domain adaptation meets active learning P Rai, A Saha, H Daumé III, S Venkatasubramanian NAACL HLT 2010, 27-32, 2010	135	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	134	2018
Scalable Bayesian low-rank decomposition of incomplete multiway tensors P Rai, Y Wang, S Guo, G Chen, D Dunson, L Carin ICML 2014, 2014	125	2014
Online learning of multiple tasks and their relationships A Saha, P Rai, H Daumé III, S Venkatasubramanian AISTATS 2011, 2011	116	2011
Multiview clustering with incomplete views A Trivedi, P Rai, H Daumé III, SL DuVall NIPS 2010 Social Computing Workshop, 2010	100	2010
A Generative Approach to Zero-Shot and Few-Shot Action Recognition A Mishra, VK Verma, M Reddy, P Rai, A Mittal WACV 2018, 2018	97	2018
The infinite hierarchical factor regression model P Rai, H Daumé III NIPS 2008, 2008	82	2008
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	81	2011
Infinite predictor subspace models for multitask learning P Rai, H Daumé III AISTATS 2010, 2010	80	2010
Multi-label prediction via sparse infinite CCA P Rai, H Daume NIPS 2009, 2009	78	2009
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	73	2018
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression. P Rai, A Kumar, H Daumé III NIPS 2012, 2012	67	2012
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	63	2019
Meta-learning for generalized zero-shot learning VK Verma, D Brahma, P Rai Proceedings of the AAAI conference on artificial intelligence 34 (04), 6062-6069, 2020	62	2020
Flexible Modeling of Latent Task Structures in Multitask Learning A Passos, P Rai, J Wainer, H Daume III ICML 2012, 2012	57	2012
Stochastic Blockmodels meet Graph Neural Networks N Mehta, L Carin, P Rai ICML 2019, 2019	55	2019

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