Search Results - Adversarial Constrained Autoencoder Interpolation

An upsampling framework for vehicle low-frequency sampling data based on human-machine-environment fusion by Wang, Bingbing, Wang, Jian, Cui, Tao, Zhang, Fujun, Wang, Shangyan

“…•A progressive training strategy combines adversarial learning, temporal fidelity, and spectral losses…”
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Progressive VAE Training on Highly Sparse and Imbalanced Data by Utyamishev, Dmitry, Partin-Vaisband, Inna

“…In this paper, we present a novel approach for training a Variational Autoencoder (VAE…”
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