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mnist

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Image Classification/Percentage error

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MNIST/Adversarial Defense/Accuracy MNIST/Adversarial Defense/Inference speed MNIST/Anomaly Detection/AUC-ROC MNIST/Anomaly Detection/AUROC MNIST/Anomaly Detection/ROC AUC MNIST/AutoML/R2 MNIST/Classification/Accuracy MNIST/Clustering Algorithms Evaluation/ARI MNIST/Clustering Algorithms Evaluation/F1-score MNIST/Clustering Algorithms Evaluation/NMI MNIST/Core set discovery/F1(10-fold)MNIST/Deep Clustering/NMI MNIST/Density Estimation/COV-L2 MNIST/Density Estimation/Log-likelihood (nats)MNIST/Density Estimation/MMD-L2 MNIST/Density Estimation/NLL MNIST/Density Estimation/NLL (bits/dim)MNIST/Federated Learning/ACC@1-100Clients MNIST/Federated Learning/ACC@1-500Clients MNIST/Federated Learning/ACC@1-50Clients MNIST/Few-Shot Learning/Accuracy MNIST/Fine-Grained Image Classification/Accuracy MNIST/General Classification/Accuracy MNIST/Graph Classification/Accuracy MNIST/Image Classification/Accuracy MNIST/Image Classification/Cross Entropy Loss MNIST/Image Classification/Epochs MNIST/Image Classification/Percentage error MNIST/Image Classification/Top 1 Accuracy MNIST/Image Classification/Trainable Parameters MNIST/Image Clustering/Accuracy MNIST/Image Clustering/NMI MNIST/Image Generation/FID MNIST/Image Generation/PSNR MNIST/Image Generation/Precision MNIST/Image Generation/Recall MNIST/Image Generation/SSIM MNIST/Image Generation/bits/dimension MNIST/Meta-Learning/Accuracy MNIST/Nature-Inspired Optimization Algorithm/training time (s)MNIST/Network Pruning/Avg #Steps MNIST/Neural Architecture Search/R2 MNIST/One-Shot Learning/Accuracy MNIST/Optical Character Recognition (OCR)/Accuracy MNIST/Optical Character Recognition (OCR)/PERCENTAGE ERROR MNIST/Stochastic Optimization/NLL MNIST/Structured Prediction/Negative CLL MNIST/Unsupervised Anomaly Detection/AUC-ROC MNIST/Unsupervised Anomaly Detection/AUROC MNIST/Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomaly/AUC-ROC MNIST/Unsupervised Anomaly Detection with Specified Settings -- 1% anomaly/AUC-ROC MNIST/Unsupervised Anomaly Detection with Specified Settings -- 10% anomaly/AUC-ROC MNIST/Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly/AUC-ROC MNIST/Unsupervised Anomaly Detection with Specified Settings -- 30% anomaly/AUC-ROC MNIST Large Scale dataset/Image Classification/Average Accuracy MNIST vs Fake MNIST/Two-sample testing/Avg accuracy MNIST-M-to-MNIST/Domain Adaptation/Accuracy MNIST-full/Image Clustering/Accuracy MNIST-full/Image Clustering/NMI MNIST-rot-12/Image Classification/Test Error MNIST-rot-12k (DA)/Image Classification/Test Error MNIST-test/Anomaly Detection/F1 score MNIST-test/Image Clustering/Accuracy MNIST-test/Image Clustering/NMI MNIST-to-MNIST-M/Domain Adaptation/Accuracy MNIST-to-USPS/Domain Adaptation/Accuracy

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Image Classification