3 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
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…
Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD
Kosuke Haruki, Taiji Suzuki, Yohei Hamakawa +4
Large-batch stochastic gradient descent (SGD) is widely used for training in distributed deep learning because of its training-time efficiency, however, extremely large-batch SGD l…