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Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition


Oct 07, 2022
Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava

* 97 pages, 3 figures 

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Novel Class Discovery without Forgetting


Jul 21, 2022
K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian

* Accepted to ECCV 2022 

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All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)


Jun 17, 2022
Ashwin Vaswani, Gaurav Aggarwal, Praneeth Netrapalli, Narayan G Hegde


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Spacing Loss for Discovering Novel Categories


Apr 22, 2022
K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian

* Accepted to Continual Learning in Computer Vision Workshop (CLVision) at CVPR 2022 

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SITA: Single Image Test-time Adaptation


Dec 08, 2021
Ansh Khurana, Sujoy Paul, Piyush Rai, Soma Biswas, Gaurav Aggarwal


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Node-Level Differentially Private Graph Neural Networks


Dec 06, 2021
Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain

* 23 pages, 3 figures 

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Unsupervised Adaptation of Semantic Segmentation Models without Source Data


Dec 04, 2021
Sujoy Paul, Ansh Khurana, Gaurav Aggarwal


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On Learning to Rank Long Sequences with Contextual Bandits


Jun 07, 2021
Anirban Santara, Claudio Gentile, Gaurav Aggarwal, Shuai Li


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Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare


May 17, 2021
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe

* To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) 

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