1 code implementation • 27 Dec 2022 • Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi
Mixup is a popular data augmentation technique for training deep neural networks where additional samples are generated by linearly interpolating pairs of inputs and their labels.
no code implementations • 12 Apr 2018 • Wai Hoh Tang, Adrian Röllin
In this paper, we use convolutional neural networks to address the problem of model identification for autoregressive moving average time series models.