Co-regularized multi-view spectral clustering A Kumar, P Rai, H Daume NIPS 2011, 2011 | 1426 | 2011 |
Generalized zero-shot learning via synthesized examples V Kumar Verma, G Arora, A Mishra, P Rai CVPR 2018, 2018 | 510* | 2018 |
A Deep Generative Framework for Paraphrase Generation A Gupta, A Agarwal, P Singh, P Rai AAAI 2018, 2018 | 284 | 2018 |
A Simple Exponential Family Framework for Zero-Shot Learning VK Verma, P Rai ECML 2017, 2017 | 231 | 2017 |
Domain adaptation meets active learning P Rai, A Saha, H Daumé III, S Venkatasubramanian NAACL HLT 2010, 27-32, 2010 | 175 | 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 | 171 | 2018 |
Multiview clustering with incomplete views A Trivedi, P Rai, H Daumé III, SL DuVall NIPS 2010 Social Computing Workshop, 2010 | 164 | 2010 |
Scalable Bayesian low-rank decomposition of incomplete multiway tensors P Rai, Y Wang, S Guo, G Chen, D Dunson, L Carin ICML 2014, 2014 | 161 | 2014 |
A Generative Approach to Zero-Shot and Few-Shot Action Recognition A Mishra, VK Verma, M Reddy, P Rai, A Mittal WACV 2018, 2018 | 160 | 2018 |
Online learning of multiple tasks and their relationships A Saha, P Rai, H Daumé III, S Venkatasubramanian AISTATS 2011, 2011 | 137 | 2011 |
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 | 125 | 2018 |
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 | 113 | 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 | 111 | 2020 |
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 | 106 | 2011 |
Few-shot lifelong learning P Mazumder, P Singh, P Rai Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2337-2345, 2021 | 101 | 2021 |
Stochastic Blockmodels meet Graph Neural Networks N Mehta, L Carin, P Rai ICML 2019, 2019 | 93 | 2019 |
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 | 89 | 2020 |
The infinite hierarchical factor regression model P Rai, H Daumé III NIPS 2008, 2008 | 87 | 2008 |
Infinite predictor subspace models for multitask learning P Rai, H Daumé III AISTATS 2010, 2010 | 86 | 2010 |
DiffuseVAE: Efficient, controllable and high-fidelity generation from low-dimensional latents K Pandey, A Mukherjee, P Rai, A Kumar Transactions on Machine Learning Research, 2022 | 85 | 2022 |