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gptkb:Pix2Pix
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L1 loss
|
|
gptkb:Conditional_Generative_Adversarial_Network
|
adversarial loss
|
|
gptkb:WGAN-GP
|
Wasserstein loss with gradient penalty
|
|
gptkb:Gradient_Boosted_Trees
|
Huber Loss
|
|
gptkb:VAE_(Variational_Autoencoder)
|
gptkb:KL_divergence
|
|
gptkb:generative_adversarial_networks
|
minimax loss
|
|
gptkb:UNet_architecture
|
dice loss
|
|
gptkb:TransR
|
margin-based ranking loss
|
|
gptkb:Very_Deep_Super-Resolution
|
mean squared error
|
|
gptkb:Pix2Pix
|
Adversarial loss
|
|
gptkb:word2vec
|
hierarchical softmax
|
|
gptkb:VAE_(Variational_Autoencoder)
|
reconstruction loss
|
|
gptkb:Least_Squares_Generative_Adversarial_Network
|
least squares loss
|
|
gptkb:LSGAN
|
Least squares loss
|
|
gptkb:U-Net
|
dice loss
|
|
gptkb:Wasserstein_GAN_(Arjovsky_et_al.,_2017)
|
gptkb:Wasserstein-1_distance
|
|
gptkb:Variational_autoencoder
|
gptkb:Kullback-Leibler_divergence
|
|
gptkb:V-Net
|
Dice loss
|
|
gptkb:Generative_Adversarial_Nets
|
minimax loss
|
|
gptkb:Wasserstein_GAN_(Arjovsky_et_al.,_2017)
|
gptkb:Earth_Mover's_Distance
|