Benjamin Graham
Benjamin Graham
Facebook AI Research
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Title
Cited by
Cited by
Year
Fractional max-pooling
B Graham
arXiv preprint arXiv:1412.6071, 2014
4392014
Sparse 3D convolutional neural networks
B Graham
BMVC 2015, 150.1-150.9, 2015
432*2015
3d semantic segmentation with submanifold sparse convolutional networks
B Graham, M Engelcke, L Van Der Maaten
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3242018
Spatially-sparse convolutional neural networks
B Graham
arXiv preprint arXiv:1409.6070, 2014
1762014
Submanifold sparse convolutional networks
B Graham, L van der Maaten
arXiv preprint arXiv:1706.01307, 2017
1292017
Kaggle diabetic retinopathy detection competition report
B Graham
University of Warwick, 2015
802015
Sparse arrays of signatures for online character recognition
B Graham
arXiv preprint arXiv:1308.0371, 2013
742013
Evaluation of glycerol-preserved bone allografts in cervical spine fusion: a prospective, randomized controlled trial
RS Graham, BJ Samsell, A Proffer, MA Moore, RA Vega, JM Stary, ...
Journal of Neurosurgery: Spine 22 (1), 1-10, 2015
682015
Influence and sharp-threshold theorems for monotonic measures
BT Graham, GR Grimmett
The Annals of Probability 34 (5), 1726-1745, 2006
652006
Automated plankton image analysis using convolutional neural networks
RKC Jessica Y. Luo, Jean‐Olivier Irisson, Benjamin Graham, Cedric Guigand ...
Limnology and Oceanography: Methods, 2018
46*2018
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
AV David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova
ICCV, 2019
42*2019
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
412017
And the bit goes down: Revisiting the quantization of neural networks
P Stock, A Joulin, R Gribonval, B Graham, H Jégou
arXiv preprint arXiv:1907.05686, 2019
392019
The iisignature library: efficient calculation of iterated-integral signatures and log signatures
J Reizenstein, B Graham
https://arxiv.org/abs/1802.08252, 2018
292018
Sharp thresholds for the random-cluster and Ising models
B Graham, G Grimmett
The Annals of Applied Probability 21 (1), 240-265, 2011
252011
Fractional max-pooling (2014)
B Graham
arXiv preprint arXiv:1412.6071, 2014
192014
Sublinear variance for directed last-passage percolation
BT Graham
Journal of Theoretical Probability 25 (3), 687-702, 2012
192012
Training with quantization noise for extreme model compression
A Fan, P Stock, B Graham, E Grave, R Gribonval, H Jégou, A Joulin
arXiv e-prints, arXiv: 2004.07320, 2020
182020
Efficient batchwise dropout training using submatrices
B Graham, J Reizenstein, L Robinson
arXiv preprint arXiv:1502.02478, 2015
132015
Analyzing Spatially-Sparse Data Based on Submanifold Sparse Convolutional Neural Networks
BT Graham, LJP van der Maaten, MH Engelcke
US Patent App. 16/193,735, 2019
122019
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