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Rectification-based Knowledge Retention for Continual Learning


Mar 30, 2021
Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri

* Accepted in CVPR 2021 

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Variational Rejection Particle Filtering


Mar 29, 2021
Rahul Sharma, Soumya Banerjee, Dootika Vats, Piyush Rai

* 10 pages, 2 figures 

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Efficient Feature Transformations for Discriminative and Generative Continual Learning


Mar 25, 2021
Vinay Kumar Verma, Kevin J Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin

* Accepted in CVPR 2021 

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Efficient Continual Adaptation for Generative Adversarial Networks


Mar 06, 2021
Sakshi Varshney, Vinay Kumar Verma, Lawrence Carin, Piyush Rai

* Under Submission 

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Few-Shot Lifelong Learning


Mar 01, 2021
Pratik Mazumder, Pravendra Singh, Piyush Rai

* Accepted in AAAI2021 

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Towards Zero-Shot Learning with Fewer Seen Class Examples


Nov 14, 2020
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey, Hema A. Murthy, Piyush Rai

* Accepted in WACV 2021 

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Generalized Adversarially Learned Inference


Jun 15, 2020
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai

* Under review 

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P-SIF: Document Embeddings Using Partition Averaging


May 18, 2020
Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha Talukdar

* 15 Pages, 3 Figures, 13 Tables, AAAI 2020, Blog : http://vivgupt.blogspot.com/2019/06/document-vector-estimation-using.html 

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Quantile Regularization: Towards Implicit Calibration of Regression Models


Feb 28, 2020
Saiteja Utpala, Piyush Rai


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A "Network Pruning Network" Approach to Deep Model Compression


Jan 15, 2020
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai

* Accepted in WACV'20 

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Deep Attentive Ranking Networks for Learning to Order Sentences


Dec 31, 2019
Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai

* Accepted in AAAI 2020 

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Jointly Trained Image and Video Generation using Residual Vectors


Dec 17, 2019
Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai

* Accepted in 2020 Winter Conference on Applications of Computer Vision (WACV '20) 

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On the relationship between multitask neural networks and multitask Gaussian Processes


Dec 12, 2019
Karthikeyan K, Shubham Kumar Bharti, Piyush Rai

* 19 pages, 4 figures 

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Nonparametric Bayesian Structure Adaptation for Continual Learning


Dec 08, 2019
Abhishek Kumar, Sunabha Chatterjee, Piyush Rai

* 12 pages, 5 Figures, 2 Tables 

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Refined $α$-Divergence Variational Inference via Rejection Sampling


Oct 29, 2019
Rahul Sharma, Abhishek Kumar, Piyush Rai

* 6 pages, 1 figure 

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A Meta-Learning Framework for Generalized Zero-Shot Learning


Sep 10, 2019
Vinay Kumar Verma, Dhanajit Brahma, Piyush Rai

* Under Submission 

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A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation


Jun 07, 2019
Varun Khare, Divyat Mahajan, Homanga Bharadhwaj, Vinay Verma, Piyush Rai

* Preprint. Under review 

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Variational Autoencoders for Sparse and Overdispersed Discrete Data


May 24, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou


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Stochastic Blockmodels meet Graph Neural Networks


May 14, 2019
Nikhil Mehta, Lawrence Carin, Piyush Rai


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Play and Prune: Adaptive Filter Pruning for Deep Model Compression


May 11, 2019
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

* International Joint Conference on Artificial Intelligence (IJCAI-2019) 

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Deep Generative Models for Sparse, High-dimensional, and Overdispersed Discrete Data


May 02, 2019
He Zhao, Piyush Rai, Lan Du, Wray Buntine, Mingyuan Zhou

* Code at https://github.com/ethanhezhao/NBVAE 

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Generative Model for Zero-Shot Sketch-Based Image Retrieval


Apr 18, 2019
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra, Piyush Rai

* Accepted at CVPR-Workshop 2019 

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HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs


Mar 25, 2019
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

* Accepted in CVPR 2019 

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Leveraging Filter Correlations for Deep Model Compression


Nov 26, 2018
Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri

* 10 pages 

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Graph Convolutional Networks based Word Embeddings


Sep 12, 2018
Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha Talukdar

* 9 pages, 2 figures 

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Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels


Jul 10, 2018
Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai

* Accepted For IJCAI'18 

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Generalized Zero-Shot Learning via Synthesized Examples


Jun 12, 2018
Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai

* Accepted in CVPR'18 

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A Generative Approach to Zero-Shot and Few-Shot Action Recognition


Jan 27, 2018
Ashish Mishra, Vinay Kumar Verma, M Shiva Krishna Reddy, Arulkumar S, Piyush Rai, Anurag Mittal

* Accepted in WACV 2018 

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