Piyush Rai (पीयूष राय)
Piyush Rai (पीयूष राय)
Verified email at cse.iitk.ac.in - Homepage
Title
Cited by
Cited by
Year
Co-regularized multi-view spectral clustering
A Kumar, P Rai, H Daume
NIPS 2011, 2011
7512011
Generalized zero-shot learning via synthesized examples
V Kumar Verma, G Arora, A Mishra, P Rai
CVPR 2018, 2018
1922018
A Deep Generative Framework for Paraphrase Generation
A Gupta, A Agarwal, P Singh, P Rai
AAAI 2018, 2018
1182018
Online learning of multiple tasks and their relationships
A Saha, P Rai, H Daumé III, S Venkatasubramanian
AISTATS 2011, 2011
1102011
A Simple Exponential Family Framework for Zero-Shot Learning
VK Verma, P Rai
ECML 2017, 2017
1032017
Domain adaptation meets active learning
P Rai, A Saha, H Daumé III, S Venkatasubramanian
NAACL HLT 2010, 27-32, 2010
1022010
Scalable Bayesian low-rank decomposition of incomplete multiway tensors
P Rai, Y Wang, S Guo, G Chen, D Dunson, L Carin
ICML 2014, 2014
1012014
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
932018
Multi-label prediction via sparse infinite CCA
P Rai, H Daume
NIPS 2009, 2009
782009
The infinite hierarchical factor regression model
P Rai, H Daumé III
NIPS 2008, 2008
782008
Infinite predictor subspace models for multitask learning
P Rai, H Daumé III
AISTATS 2010, 2010
742010
Multiview clustering with incomplete views
A Trivedi, P Rai, H Daumé III, SL DuVall
NIPS 2010 Social Computing Workshop, 2010
672010
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
602011
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression.
P Rai, A Kumar, H Daumé III
NIPS 2012, 2012
592012
Flexible Modeling of Latent Task Structures in Multitask Learning
A Passos, P Rai, J Wainer, H Daume III
ICML 2012, 2012
502012
A Generative Approach to Zero-Shot and Few-Shot Action Recognition
A Mishra, VK Verma, M Reddy, P Rai, A Mittal
WACV 2018, 2018
482018
Streamed learning: one-pass SVMs
P Rai, H Daumé, S Venkatasubramanian
IJCAI 2009, 2009
452009
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
402015
Hetconv: Heterogeneous kernel-based convolutions for deep cnns
P Singh, VK Verma, P Rai, VP Namboodiri
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
352019
Large-scale bayesian multi-label learning via topic-based label embeddings
P Rai, C Hu, R Henao, L Carin
NIPS 2015, 2015
352015
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Articles 1–20