_Index_of_Loss function 0-1 Loss Absolute Error Adversarial Loss Akaike Information Criterion Attention Alignment AUC-Borji AUC-Judd Bayesian Information Criterion BCE with Logits Bhattacharya Distance Binary Cross Entropy BLEU BYOL Loss BYOL Chebyshev Distance Chi Squared Distance Confusion Matrix Contrastive Loss Cosine Distance Cosine Learning Rate Decay Cosine Similarity Cross Entropy Cross Validation CTC Cycle Consistency Loss Dice Score Distance Measures Distillation Loss Earth Mover’s Distance (EMD) ELBO loss Emperical Risk Euclidean Distance Focal Loss Frobenius norm GE2E Hamming Distance Hausdorff Distance Haversine Distance Hinge Loss Huber Identity Loss inter-sentence coherence loss Intra cluster variance ITM Loss Jaccard Distance Jensen Shannon Divergence Consistency Loss KL Divergence Least squares loss Log likelihood criterion Log Likelihood Loss LogCosh Loss for binary classification Loss for multiclass classification Loss for univariate regression MAE Mallows Cp Statistic Manhattan Distance MAPE Margin Ranking Max Margin Loss Maximum likelihood criterion Maximum Likelihood Maxout Minkowski Distance MSE MSLE Negative Log Likelihood Out-of-bag Evaluation (OOB evaluation) PatchGAN Pearson Correlation Perplexity Poisson Loss Precision Recall Curve Precision Quadratic Loss Quantile loss RAHP Recall Recipe for constructing loss functions Reconstruction loss ROC Curve SDR Sensitivity Shuffled-AUC Sørensen-Dice Index Sparse Dictionary Learning Loss Specificity Squared Error Squared Hinge SSR Triplet Loss