|
gptkb:ListNet
|
listwise loss
|
|
gptkb:GCN
|
cross-entropy
|
|
gptkb:Variational_Autoencoders
|
reconstruction loss
|
|
gptkb:LSGAN
|
Least squares loss
|
|
gptkb:U-Net
|
dice loss
|
|
gptkb:Gatys_et_al._neural_style_transfer
|
content loss
|
|
gptkb:DSSM
|
cosine similarity
|
|
gptkb:VAE_(Variational_Autoencoder)
|
gptkb:KL_divergence
|
|
gptkb:UNet_architecture
|
cross-entropy
|
|
gptkb:Wasserstein_GAN_(Arjovsky_et_al.,_2017)
|
gptkb:Earth_Mover's_Distance
|
|
gptkb:SRGAN
|
perceptual loss
|
|
gptkb:WGAN
|
Wasserstein loss
|
|
gptkb:SRGAN
|
adversarial loss
|
|
gptkb:YOLOv1
|
sum-squared error
|
|
gptkb:TransR
|
margin-based ranking loss
|
|
gptkb:generative_adversarial_networks
|
minimax loss
|
|
gptkb:VAE
|
reconstruction loss
|
|
gptkb:Variational_Autoencoder
|
reconstruction loss
|
|
gptkb:Gradient_Boosted_Trees
|
gptkb:Mean_Squared_Error
|
|
gptkb:U-Net
|
cross-entropy
|