3 citations · 3 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2019★ 3 cited
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…