Amartya Sanyal
Title
Cited by
Cited by
Year
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
A Sanyal, MJ Kusner, A Gascón, V Kanade
International Conference on Machine Learning 80, 4497--4506, 2018
582018
Calibrating Deep Neural Networks using Focal Loss
J Mukhoti, V Kulharia, A Sanyal, S Golodetz, PHS Torr, PK Dokania
Advances in Neural Information Processing Systems (NeurIPS), December 2020, 2020
302020
Optimizing non-decomposable measures with deep networks
A Sanyal, P Kumar, P Kar, S Chawla, F Sebastiani
Machine Learning 107 (8), 1597-1620, 2018
222018
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs
A Sanyal, PHS Torr, PK Dokania
International Conference on Learning Representations, (Spotlight Paper) ICLR …, 2019
162019
Robustness via Deep Low-Rank Representations
A Sanyal, V Kanade, PHS Torr, PK Dokania
arXiv preprint arXiv:1804.07090, 2018
11*2018
Progressive skeletonization: Trimming more fat from a network at initialization
P de Jorge, A Sanyal, HS Behl, PHS Torr, G Rogez, PK Dokania
International Conference on Learning Representations, ICLR 2021, 2020
82020
How benign is benign overfitting?
A Sanyal, PK Dokania, V Kanade, PHS Torr
International Conference on Learning Representations, (Spotlight Paper) ICLR …, 2020
62020
Multiscale sequence modeling with a learned dictionary
B van Merriënboer, A Sanyal, H Larochelle, Y Bengio
Workshop on Machine Learning in Speech and Language Processing, 2017
52017
Agent based simulation of the evolution of society as an alternate maximization problem
A Sanyal, S Garg, A Unmesh
10.1109/BESC.2017.8256376, 2017
2017
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Articles 1–9