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gptkb:Masked_Language_Modeling
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Cross-Entropy Loss
|
|
gptkb:SRGAN
|
adversarial loss
|
|
gptkb:Variational_Autoencoder
|
reconstruction loss
|
|
gptkb:Variational_Autoencoders
|
gptkb:KL_divergence
|
|
gptkb:UNet_architecture
|
dice loss
|
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gptkb:Logistic_regression
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Log loss
|
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gptkb:Pix2Pix
|
L1 loss
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gptkb:YOLOv1
|
sum-squared error
|
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gptkb:Variational_Autoencoder
|
gptkb:Kullback-Leibler_divergence
|
|
gptkb:variational_autoencoders
|
KL divergence loss
|
|
gptkb:VDSR
|
mean squared error
|
|
gptkb:RankNet
|
cross-entropy loss
|
|
gptkb:Wasserstein_GAN_(Arjovsky_et_al.,_2017)
|
gptkb:Wasserstein-1_distance
|
|
gptkb:Variational_autoencoder
|
gptkb:Kullback-Leibler_divergence
|
|
gptkb:UNet_architecture
|
cross-entropy
|
|
gptkb:pix2pix_framework
|
adversarial loss
|
|
gptkb:U-Net
|
cross-entropy
|
|
gptkb:Variational_Autoencoders
|
reconstruction loss
|
|
gptkb:LSGAN
|
Least squares loss
|
|
gptkb:Gatys_et_al._neural_style_transfer
|
content loss
|