Nicholas Frosst
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Topic Modeling, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- Matrix capsules with EM routing(2018)
- → Distilling a Neural Network Into a Soft Decision Tree(2017)266 cited
- → Neural Additive Models: Interpretable Machine Learning with Neural Nets(2020)121 cited
- → Dynamic Routing Between Capsules(2017)88 cited
- → Analyzing and Improving Representations with the Soft Nearest Neighbor\n Loss(2019)55 cited
- → Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions(2019)37 cited
- → DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules(2018)35 cited