Samuel L. Smith
Title
Cited by
Cited by
Year
Ultrafast long-range charge separation in organic semiconductor photovoltaic diodes
S Gélinas, A Rao, A Kumar, SL Smith, AW Chin, J Clark, TS van der Poll, ...
Science 343 (6170), 512-516, 2014
8052014
Don't Decay the Learning Rate, Increase the Batch Size
SL Smith, PJ Kindermans, C Ying, QV Le
International Conference on Learning Representations, 2018
5312018
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
SL Smith, DHP Turban, S Hamblin, NY Hammerla
International Conference on Learning Representations, 2017
3902017
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
SL Smith, QV Le
International Conference on Learning Representations, 2018
1962018
The future of quantum biology
A Marais, B Adams, AK Ringsmuth, M Ferretti, JM Gruber, R Hendrikx, ...
Journal of the Royal Society Interface 15 (148), 20180640, 2018
602018
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study
DS Park, J Sohl-Dickstein, QV Le, SL Smith
International Conference on Machine Learning, 2019
352019
Phonon-assisted ultrafast charge separation in the PCBM band structure
SL Smith, AW Chin
Physical Review B 91 (20), 201302, 2015
332015
Ultrafast charge separation and nongeminate electron–hole recombination in organic photovoltaics
SL Smith, AW Chin
Physical Chemistry Chemical Physics 16 (38), 20305-20309, 2014
332014
Batch normalization biases residual blocks towards the identity function in deep networks
S De, S Smith
Advances in Neural Information Processing Systems 33, 2020
21*2020
BYOL works even without batch statistics
PH Richemond, JB Grill, F Altché, C Tallec, F Strub, A Brock, S Smith, ...
arXiv preprint arXiv:2010.10241, 2020
72020
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks
V Zhelezniak, D Busbridge, A Shen, SL Smith, NY Hammerla
International Conference on Learning Representations, Workshop Track, 2018
72018
Energy Efficient Dissociation of Excitons to Free Charges
M Tabachnyk, SL Smith, LR Weiss, A Sadhanala, AW Chin, RH Friend, ...
arXiv preprint arXiv:1704.03780, 2017
62017
High-Performance Large-Scale Image Recognition Without Normalization
A Brock, S De, SL Smith, K Simonyan
arXiv preprint arXiv:2102.06171, 2021
52021
Characterizing signal propagation to close the performance gap in unnormalized ResNets
A Brock, S De, SL Smith
arXiv preprint arXiv:2101.08692, 2021
52021
Stochastic natural gradient descent draws posterior samples in function space
SL Smith, D Duckworth, S Rezchikov, QV Le, J Sohl-Dickstein
Third Workshop on Bayesian Deep Learning, NeurIPS 2018, 2018
42018
On the Origin of Implicit Regularization in Stochastic Gradient Descent
SL Smith, B Dherin, DGT Barrett, S De
arXiv preprint arXiv:2101.12176, 2021
22021
Cold posteriors and aleatoric uncertainty
B Adlam, J Snoek, SL Smith
arXiv preprint arXiv:2008.00029, 2020
22020
Optimal SGD Hyperparameters for Fully Connected Networks
DS Park, SL Smith, J Sohl-dickstein, QV Le
Third workshop on Bayesian Deep Learning NeurIPS, 2018
12018
On the Generalization Benefit of Noise in Stochastic Gradient Descent
S Smith, E Elsen, S De
International Conference on Machine Learning, 9058-9067, 2020
2020
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Articles 1–19