Neural Additive Models: Interpretable Machine Learning with Neural Nets. | 0 | 0.34 | 2021 |
Teaching with Commentaries. | 0 | 0.34 | 2021 |
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. | 0 | 0.34 | 2020 |
Large scale distributed neural network training through online distillation. | 0 | 0.34 | 2018 |
Matrix capsules with EM routing. | 0 | 0.34 | 2018 |
Regularizing Neural Networks by Penalizing Confident Output Distributions. | 0 | 0.34 | 2017 |
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer. | 0 | 0.34 | 2017 |