1 code implementation • 13 Jun 2022 • Ikki Kishida, Hideki Nakayama
There are approaches to replace pixel values with binary embeddings to tackle the problem of adversarial perturbations, which successfully improve robustness.
no code implementations • ICLR 2020 • Ikki Kishida, Hideki Nakayama
In the view of the regular convolution's RF, the outputs of neurons in lower layers with smaller RF are bundled to create neurons in higher layers with larger RF.
no code implementations • ICLR 2019 • Ikki Kishida, Hideki Nakayama
In this work, we study the similarities of easy and hard examples respectively for different Convolutional Neural Network (CNN) architectures, assessing how those examples contribute to generalization.
