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Progressive Skeletonization: Trimming more fat from a network at initialization


Jul 14, 2020
Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Gregory Rogez, Puneet K. Dokania


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How benign is benign overfitting?


Jul 08, 2020
Amartya Sanyal, Puneet K Dokania, Varun Kanade, Philip H. S. Torr


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Calibrating Deep Neural Networks using Focal Loss


Feb 21, 2020
Jishnu Mukhoti, Viveka Kulharia, Amartya Sanyal, Stuart Golodetz, Philip H. S. Torr, Puneet K. Dokania


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Stable Rank Normalization for Improved Generalization in Neural Networks and GANs


Jun 12, 2019
Amartya Sanyal, Philip H. S. Torr, Puneet K. Dokania


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Intriguing Properties of Learned Representations


Jun 11, 2018
Amartya Sanyal, Varun Kanade, Philip H. S. Torr


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TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service


Jun 09, 2018
Amartya Sanyal, Matt J. Kusner, Adrià Gascón, Varun Kanade

* Accepted at International Conference in Machine Learning (ICML), 2018 

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Optimizing Non-decomposable Measures with Deep Networks


Jan 31, 2018
Amartya Sanyal, Pawan Kumar, Purushottam Kar, Sanjay Chawla, Fabrizio Sebastiani


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Agent based simulation of the evolution of society as an alternate maximization problem


Jul 05, 2017
Amartya Sanyal, Sanjana Garg, Asim Unmesh


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Multiscale sequence modeling with a learned dictionary


Jul 05, 2017
Bart van Merriënboer, Amartya Sanyal, Hugo Larochelle, Yoshua Bengio


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