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Nicholas Frosst
Nicholas Frosst
cofounder of cohere.ai
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Title
Cited by
Cited by
Year
Dynamic routing between capsules
S Sabour, N Frosst, GE Hinton
Advances in neural information processing systems 30, 2017
59072017
Matrix capsules with EM routing
GE Hinton, S Sabour, N Frosst
International conference on learning representations, 2018
12712018
Distilling a neural network into a soft decision tree
N Frosst, G Hinton
arXiv preprint arXiv:1711.09784, 2017
7302017
Neural additive models: Interpretable machine learning with neural nets
R Agarwal, L Melnick, N Frosst, X Zhang, B Lengerich, R Caruana, ...
Advances in neural information processing systems 34, 4699-4711, 2021
4072021
Analyzing and improving representations with the soft nearest neighbor loss
N Frosst, N Papernot, G Hinton
International conference on machine learning, 2012-2020, 2019
1572019
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
982015
Detecting and diagnosing adversarial images with class-conditional capsule reconstructions
Y Qin, N Frosst, S Sabour, C Raffel, G Cottrell, G Hinton
arXiv preprint arXiv:1907.02957, 2019
922019
Darccc: Detecting adversaries by reconstruction from class conditional capsules
N Frosst, S Sabour, G Hinton
arXiv preprint arXiv:1811.06969, 2018
592018
Dynamic routing between capsules. arXiv 2017
S Sabour, N Frosst, GE Hinton
arXiv preprint arXiv:1710.09829, 0
55
Mitigating harm in language models with conditional-likelihood filtration
H Ngo, C Raterink, JGM Ara˙jo, I Zhang, C Chen, A Morisot, N Frosst
arXiv preprint arXiv:2108.07790, 2021
292021
Deflecting adversarial attacks
Y Qin, N Frosst, C Raffel, G Cottrell, G Hinton
arXiv preprint arXiv:2002.07405, 2020
202020
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
172018
Interlocking backpropagation: Improving depthwise model-parallelism
AN Gomez, O Key, K Perlin, S Gou, N Frosst, J Dean, Y Gal
Journal of Machine Learning Research 23 (171), 1-28, 2022
162022
Matrix capsules with em routing
EH Geoffrey, S Sara, F Nicholas
International conference on learning representations, 2018
92018
Predicting twitter engagement with deep language models
M Volkovs, Z Cheng, M Ravaut, H Yang, K Shen, JP Zhou, A Wong, ...
Proceedings of the Recommender Systems Challenge 2020, 38-43, 2020
62020
No news is good news: A critique of the one billion word benchmark
H Ngo, JGM Ara˙jo, J Hui, N Frosst
arXiv preprint arXiv:2110.12609, 2021
42021
Text conditional lyric video generation
N Frosst, J Kereliuk, G Kid
chap. Machine Learning for Creativity and Design Workshop, 2019
32019
The effects of image padding in saliency algorithms
NMW Frosst, C Wloka, J Tsotsos
Perception 43 (1), 106-107, 2014
22014
Neural network training using the soft nearest neighbor loss
GE Hinton, NMW Frosst, NGR Papernot
US Patent 11,941,867, 2024
2024
Capsule neural networks
GE Hinton, NMW Frosst, SSR Aghdam
US Patent 11,694,060, 2023
2023
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