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gptkb:Gradient_Boosted_Trees
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Log Loss
|
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gptkb:Wasserstein_GAN_(Arjovsky_et_al.,_2017)
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gptkb:Wasserstein-1_distance
|
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gptkb:SRGAN
|
adversarial loss
|
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gptkb:V-Net
|
Dice loss
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gptkb:LambdaMART
|
pairwise loss
|
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gptkb:Gatys_et_al._neural_style_transfer
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style loss
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gptkb:variational_autoencoders
|
reconstruction loss
|
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gptkb:TransR
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margin-based ranking loss
|
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gptkb:Variational_Autoencoder
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gptkb:Kullback-Leibler_divergence
|
|
gptkb:word2vec
|
negative sampling
|
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gptkb:SAMME
|
exponential loss
|
|
gptkb:SRGAN
|
perceptual loss
|
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gptkb:YOLOv1
|
sum-squared error
|
|
gptkb:VAE_(Variational_Autoencoder)
|
reconstruction loss
|
|
gptkb:DSSM
|
cosine similarity
|
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gptkb:Deep_Convolutional_GAN
|
Adversarial loss
|
|
gptkb:Variational_Autoencoder
|
reconstruction loss
|
|
gptkb:LSGAN
|
Least squares loss
|
|
gptkb:Very_Deep_Super-Resolution
|
mean squared error
|
|
gptkb:GCN
|
cross-entropy
|