2 papers
cs.LG2024
Dimensionality-induced information loss of outliers in deep neural networks
Kazuki Uematsu, Kosuke Haruki, Taiji Suzuki +3
Out-of-distribution (OOD) detection is a critical issue for the stable and reliable operation of systems using a deep neural network (DNN). Although many OOD detection methods have…
cs.LG2020
Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection
Teguh Budianto, Tomohiro Nakai, Kazunori Imoto +2
Generative adversarial networks (GANs) have shown promise for various problems including anomaly detection. When anomaly detection is performed using GAN models that learn only the…