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Found 2 papers, 1 papers with code
Facilitate the Parametric Dimension Reduction by Gradient Clipping
We extend a well-known dimension reduction method, t-distributed stochastic neighbor embedding (t-SNE), from non-parametric to parametric by training neural networks.
Adversarial Colorization Of Icons Based On Structure And Color Conditions
For the evaluation, we compared our dual conditional GAN to several state-of-the-art techniques.
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