|
gptkb:VAE_(Variational_Autoencoder)
|
reconstruction loss
|
|
gptkb:Gradient_Boosted_Trees
|
Log Loss
|
|
gptkb:Deep_Convolutional_GAN
|
Adversarial loss
|
|
gptkb:pix2pix_framework
|
adversarial loss
|
|
gptkb:Generative_Adversarial_Nets
|
minimax loss
|
|
gptkb:Variational_Autoencoder
|
gptkb:Kullback-Leibler_divergence
|
|
gptkb:V-Net
|
Dice loss
|
|
gptkb:Least_Squares_Generative_Adversarial_Network
|
least squares loss
|
|
gptkb:Variational_Autoencoders
|
gptkb:KL_divergence
|
|
gptkb:Logistic_regression
|
Log loss
|
|
gptkb:LSGAN
|
Least squares loss
|
|
gptkb:LambdaMART
|
listwise loss
|
|
gptkb:word2vec
|
hierarchical softmax
|
|
gptkb:BYOL
|
mean squared error
|
|
gptkb:word2vec
|
negative sampling
|
|
gptkb:Pix2Pix
|
L1 loss
|
|
gptkb:Graph_Attention_Networks
|
cross-entropy
|
|
gptkb:U-Net
|
dice loss
|
|
gptkb:generative_adversarial_networks
|
minimax loss
|
|
gptkb:Gatys_et_al._neural_style_transfer
|
content loss
|