팔로우
Piyush Rai
제목
인용
인용
연도
Co-regularized multi-view spectral clustering
A Kumar, P Rai, H Daume
NIPS 2011, 2011
11822011
Generalized zero-shot learning via synthesized examples
V Kumar Verma, G Arora, A Mishra, P Rai
CVPR 2018, 2018
417*2018
A Deep Generative Framework for Paraphrase Generation
A Gupta, A Agarwal, P Singh, P Rai
AAAI 2018, 2018
2342018
A Simple Exponential Family Framework for Zero-Shot Learning
VK Verma, P Rai
ECML 2017, 2017
2102017
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
1542018
Domain adaptation meets active learning
P Rai, A Saha, H Daumé III, S Venkatasubramanian
NAACL HLT 2010, 27-32, 2010
1532010
Scalable Bayesian low-rank decomposition of incomplete multiway tensors
P Rai, Y Wang, S Guo, G Chen, D Dunson, L Carin
ICML 2014, 2014
1412014
Multiview clustering with incomplete views
A Trivedi, P Rai, H Daumé III, SL DuVall
NIPS 2010 Social Computing Workshop, 2010
1312010
Online learning of multiple tasks and their relationships
A Saha, P Rai, H Daumé III, S Venkatasubramanian
AISTATS 2011, 2011
1242011
A Generative Approach to Zero-Shot and Few-Shot Action Recognition
A Mishra, VK Verma, M Reddy, P Rai, A Mittal
WACV 2018, 2018
1212018
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
912011
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
902018
The infinite hierarchical factor regression model
P Rai, H Daumé III
NIPS 2008, 2008
832008
Infinite predictor subspace models for multitask learning
P Rai, H Daumé III
AISTATS 2010, 2010
822010
Multi-label prediction via sparse infinite CCA
P Rai, H Daume
NIPS 2009, 2009
792009
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
782019
Stochastic Blockmodels meet Graph Neural Networks
N Mehta, L Carin, P Rai
ICML 2019, 2019
722019
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression.
P Rai, A Kumar, H Daumé III
NIPS 2012, 2012
722012
Leveraging filter correlations for deep model compression
P Singh, VK Verma, P Rai, V Namboodiri
Proceedings of the IEEE/CVF Winter Conference on applications of computer …, 2020
662020
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
652020
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학술자료 1–20