research
∙
03/02/2021
Smoothness Analysis of Loss Functions of Adversarial Training
Deep neural networks are vulnerable to adversarial attacks. Recent studi...
share
research
∙
02/05/2021
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression
Adversarial training is actively studied for learning robust models agai...
research
∙
04/12/2019
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators
We propose a supervised anomaly detection method based on neural density...
research
∙
03/26/2019
Autoencoding Binary Classifiers for Supervised Anomaly Detection
We propose the Autoencoding Binary Classifiers (ABC), a novel supervised...
research
∙
09/14/2018
Variational Autoencoder with Implicit Optimal Priors
The variational autoencoder (VAE) is a powerful generative model that ca...
research
∙
05/28/2018
