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ORCIDNicholas Frosst
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2020 – today
- 2024
[i12]Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker:
Aya 23: Open Weight Releases to Further Multilingual Progress. CoRR abs/2405.15032 (2024)- 2022
- [j1]Aidan N. Gomez, Oscar Key, Kuba Perlin, Stephen Gou, Nick Frosst, Jeff Dean, Yarin Gal:
Interlocking Backpropagation: Improving depthwise model-parallelism. J. Mach. Learn. Res. 23: 171:1-171:28 (2022) - 2021
- [c7]Rishabh Agarwal, Levi Melnick, Nicholas Frosst, Xuezhou Zhang, Benjamin J. Lengerich, Rich Caruana, Geoffrey E. Hinton:
Neural Additive Models: Interpretable Machine Learning with Neural Nets. NeurIPS 2021: 4699-4711 - [i11]Helen Ngo, Cooper Raterink, João G. M. Araújo, Ivan Zhang, Carol Chen, Adrien Morisot, Nicholas Frosst:
Mitigating harm in language models with conditional-likelihood filtration. CoRR abs/2108.07790 (2021) - [i10]Helen Ngo, João G. M. Araújo, Jeffrey Hui, Nicholas Frosst:
No News is Good News: A Critique of the One Billion Word Benchmark. CoRR abs/2110.12609 (2021) - 2020
- [c6]Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. ICLR 2020 - [c5]Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez:
Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 2020: 38-43 - [i9]Yao Qin, Nicholas Frosst, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Deflecting Adversarial Attacks. CoRR abs/2002.07405 (2020) - [i8]Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton:
Neural Additive Models: Interpretable Machine Learning with Neural Nets. CoRR abs/2004.13912 (2020) - [i7]Aidan N. Gomez, Oscar Key, Stephen Gou, Nick Frosst, Jeff Dean, Yarin Gal:
Interlocking Backpropagation: Improving depthwise model-parallelism. CoRR abs/2010.04116 (2020)
2010 – 2019
- 2019
- [c4]Nicholas Frosst, Nicolas Papernot, Geoffrey E. Hinton:
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss. ICML 2019: 2012-2020 - [i6]Nicholas Frosst, Nicolas Papernot, Geoffrey E. Hinton:
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss. CoRR abs/1902.01889 (2019) - [i5]Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. CoRR abs/1907.02957 (2019) - 2018
- [c3]Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst:
Matrix capsules with EM routing. ICLR (Poster) 2018 - [i4]Nicholas Frosst, Sara Sabour, Geoffrey E. Hinton:
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules. CoRR abs/1811.06969 (2018) - [i3]Calden Wloka, Toni Kunic, Iuliia Kotseruba, Ramin Fahimi, Nicholas Frosst, Neil D. B. Bruce, John K. Tsotsos:
SMILER: Saliency Model Implementation Library for Experimental Research. CoRR abs/1812.08848 (2018) - 2017
- [c2]Nicholas Frosst, Geoffrey E. Hinton:
Distilling a Neural Network Into a Soft Decision Tree. CEx@AI*IA 2017 - [c1]Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton:
Dynamic Routing Between Capsules. NIPS 2017: 3856-3866 - [i2]Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton:
Dynamic Routing Between Capsules. CoRR abs/1710.09829 (2017) - [i1]Nicholas Frosst, Geoffrey E. Hinton:
Distilling a Neural Network Into a Soft Decision Tree. CoRR abs/1711.09784 (2017)
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last updated on 2024-09-13 01:37 CEST by the dblp team
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