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gptkb:Causal_language_modeling
|
Cross-entropy loss
|
|
gptkb:RankNet
|
cross-entropy loss
|
|
gptkb:DSSM
|
cosine similarity
|
|
gptkb:Variational_autoencoder
|
gptkb:Kullback-Leibler_divergence
|
|
gptkb:UNet_architecture
|
dice loss
|
|
gptkb:Gradient_Boosted_Trees
|
Log Loss
|
|
gptkb:Wasserstein_GAN_(Arjovsky_et_al.,_2017)
|
gptkb:Wasserstein-1_distance
|
|
gptkb:Least_Squares_Generative_Adversarial_Network
|
least squares loss
|
|
gptkb:Pix2Pix
|
L1 loss
|
|
gptkb:Graph_Attention_Networks
|
cross-entropy
|
|
gptkb:GCN
|
cross-entropy
|
|
gptkb:variational_autoencoders
|
reconstruction loss
|
|
gptkb:Variational_Autoencoder
|
gptkb:Kullback-Leibler_divergence
|
|
gptkb:Conditional_Generative_Adversarial_Network
|
adversarial loss
|
|
gptkb:SRResNet
|
mean squared error
|
|
gptkb:Variational_autoencoder
|
reconstruction loss
|
|
gptkb:Very_Deep_Super-Resolution
|
mean squared error
|
|
gptkb:Logistic_regression
|
Log loss
|
|
gptkb:Region_Proposal_Network_(RPN)
|
multi-task loss
|
|
gptkb:LambdaMART
|
pairwise loss
|