Nicholas Frosst
Nicholas Frosst
Google Brain
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TitleCited byYear
Dynamic routing between capsules
S Sabour, N Frosst, GE Hinton
Advances in neural information processing systems, 3856-3866, 2017
Matrix capsules with EM routing
GE Hinton, S Sabour, N Frosst
Distilling a neural network into a soft decision tree
N Frosst, G Hinton
arXiv preprint arXiv:1711.09784, 2017
On computational modeling of visual saliency: Examining what’s right, and what’s left
NDB Bruce, C Wloka, N Frosst, S Rahman, JK Tsotsos
Vision research 116, 95-112, 2015
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules
N Frosst, S Sabour, G Hinton
arXiv preprint arXiv:1811.06969, 2018
Matrix Capsules with EM Routing
S Sabour, N Frosst, GE Hinton
6th International Conference on Learning Representations, ICLR, 2018
The effects of image padding in saliency algorithms
NMW Frosst, C Wloka, J Tsotsos
Perception ECVP abstract 43, 106-106, 2014
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
N Frosst, N Papernot, G Hinton
arXiv preprint arXiv:1902.01889, 2019
SMILER: Saliency Model Implementation Library for Experimental Research
C Wloka, T Kunić, I Kotseruba, R Fahimi, N Frosst, NDB Bruce, JK Tsotsos
arXiv preprint arXiv:1812.08848, 2018
Salience Across Spatial Scales
C Wloka, N Frosst, JK Tsotsos
Journal of Vision 14 (10), 1034-1034, 2014
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