Nicholas Frosst

According to our database1, Nicholas Frosst authored at least 15 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Interlocking Backpropagation: Improving depthwise model-parallelism.
J. Mach. Learn. Res., 2022

2021
No News is Good News: A Critique of the One Billion Word Benchmark.
CoRR, 2021

Mitigating harm in language models with conditional-likelihood filtration.
CoRR, 2021

Neural Additive Models: Interpretable Machine Learning with Neural Nets.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Interlocking Backpropagation: Improving depthwise model-parallelism.
CoRR, 2020

Neural Additive Models: Interpretable Machine Learning with Neural Nets.
CoRR, 2020

Deflecting Adversarial Attacks.
CoRR, 2020

Predicting Twitter Engagement With Deep Language Models.
Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
SMILER: Saliency Model Implementation Library for Experimental Research.
CoRR, 2018

DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules.
CoRR, 2018

Matrix capsules with EM routing.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Dynamic Routing Between Capsules.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distilling a Neural Network Into a Soft Decision Tree.
Proceedings of the First International Workshop on Comprehensibility and Explanation in AI and ML 2017 co-located with 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017


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