788 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- NTT (Japan)JP13 papers
- Nagoya UniversityJP3 papers
- Johns Hopkins UniversityUS2 papers
- Kyoto UniversityJP2 papers
- Mitsubishi Electric Research Laboratories (United States)US2 papers
- Mitsubishi Electric (United States)US2 papers
- Preferred Networks (Japan)JP2 papers
- RIKEN Center for Advanced Intelligence ProjectJP2 papers
- Waseda UniversityJP2 papers
- Aalto UniversityFI1 paper
- Academia SinicaTW1 paper
- Brocade (United States)US1 paper
4 papers · 1 filter
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara +2
We propose Absum, which is a regularization method for improving adversarial robustness of convolutional neural networks (CNNs). Although CNNs can accurately recognize images, rece…
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka +2
The variational autoencoder (VAE) is a powerful generative model that can estimate the probability of a data point by using latent variables. In the VAE, the posterior of the laten…
Differentiable Dynamic Programming for Structured Prediction and Attention
Arthur Mensch, Mathieu Blondel
Dynamic programming (DP) solves a variety of structured combinatorial problems by iteratively breaking them down into smaller subproblems. In spite of their versatility, DP algorit…
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Koh Takeuchi, Tomoharu Iwata +2
We introduce the localized Lasso, which is suited for learning models that are both interpretable and have a high predictive power in problems with high dimensionality and smal…