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Datasets
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cifar10
cifar10
Benchmarks
Clustering Algorithms Evaluation
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Clustering Accuracy
Image Classification
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Accuracy
Image Clustering
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online NMI
Image Clustering
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online ACC
Image Clustering
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online ARI
Novel Class Discovery
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Clustering Accuracy
Out-of-Distribution Detection
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AUROC
Self-Supervised Learning
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average top-1 classification accuracy
Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly
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AUC-ROC
Related Benchmarks
CIFAR10
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Out-of-Distribution Detection
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AUROC
CIFAR10
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Parameter Prediction
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Classification Accuracy (BN-free)
CIFAR10
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Parameter Prediction
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Classification Accuracy (Deep)
CIFAR10
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Parameter Prediction
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Classification Accuracy (Dense)
CIFAR10
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Parameter Prediction
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Classification Accuracy (ID-test)
CIFAR10
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Parameter Prediction
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Classification Accuracy (ResNet-50)
CIFAR10
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Parameter Prediction
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Classification Accuracy (ViT)
CIFAR10
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Parameter Prediction
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Classification Accuracy (Wide)
CIFAR10
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Quantization
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CIFAR-10 W4A4 Top-1 Accuracy
CIFAR10
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Quantization
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CIFAR-10 W5A5 Top-1 Accuracy
CIFAR10
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Quantization
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CIFAR-10 W6A6 Top-1 Accuracy
CIFAR10
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Quantization
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CIFAR-10 W8A8 Top-1 Accuracy
CIFAR10
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Representation Learning
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Accuracy (%)
CIFAR10 (10,000)
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Active Learning
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Accuracy
CIFAR10 (10,000)
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Optical Character Recognition (OCR)
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Accuracy
CIFAR10 100k
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Classification
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Accuracy (%)
CIFAR10 100k
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Graph Classification
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Accuracy (%)
CIFAR10-DVS
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Event data classification
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Accuracy
CIFAR10-DVS
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Object Recognition
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Accuracy (% )
CIFAR100 (alpha=0.3, 10 clients per round)
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Federated Learning
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Average Top-1 Accuracy
CIFAR100 5-way (1-shot)
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Few-Shot Image Classification
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Accuracy
CIFAR100 5-way (1-shot)
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Image Classification
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Accuracy
CIFAR100-B0(10steps of 10 classes)
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Incremental Learning
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Average Incremental Accuracy
CIFAR100-B0(50 tasks)-no-exemplars
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Class Incremental Learning
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Average Incremental Accuracy
CIFAR100-B0(50 tasks)-no-exemplars
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Continual Learning
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Average Incremental Accuracy
CIFAR100B020Step(5ClassesPerStep)
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Incremental Learning
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Average Incremental Accuracy
CIFAR100B050S(2ClassesPerStep)
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Incremental Learning
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Average Incremental Accuracy
Cifar100 (10 tasks)
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Continual Learning
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Average Accuracy
Cifar100 (20 tasks)
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Continual Learning
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Average Accuracy
Cifar100 (20 tasks) - 1 epoch
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Continual Learning
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Average Accuracy
Cifar100-B0(10 tasks)-no-exemplars
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Class Incremental Learning
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Average Incremental Accuracy
Cifar100-B0(10 tasks)-no-exemplars
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Continual Learning
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Average Incremental Accuracy
Cifar100-B0(20 tasks)-no-exemplars
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Class Incremental Learning
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Average Incremental Accuracy
Cifar100-B0(20 tasks)-no-exemplars
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Continual Learning
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Average Incremental Accuracy
cifar10, 10 labels
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Image Classification
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% Test Accuracy
cifar10, 250 Labels
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Image Classification
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Percentage correct
cifar10, 250 Labels
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Semi-Supervised Image Classification
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Percentage correct
cifar100
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Bayesian Inference
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Accuracy
cifar100
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Bayesian Inference
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Expected Calibration Error
cifar100
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Class Incremental Learning
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10-stage average accuracy
cifar100
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Class Incremental Learning
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Average accuracy - 5 tasks
cifar100
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Class Incremental Learning
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average accuracy - 10 tasks
cifar100
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Class Incremental Learning
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average accuracy - 20 tasks
cifar100
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Classification
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Recall@1
cifar100
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Classification
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Recall@10
cifar100
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Classification
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Recall@2
cifar100
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Classification
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Recall@5
cifar100
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Clustering Algorithms Evaluation
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Clustering Accuracy
cifar100
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Continual Learning
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10-stage average accuracy
cifar100
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Continual Learning
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Average accuracy - 5 tasks
cifar100
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Continual Learning
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average accuracy - 10 tasks
cifar100
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Continual Learning
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average accuracy - 20 tasks
cifar100
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Image Classification
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1:1 Accuracy
cifar100
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Novel Class Discovery
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Clustering Accuracy
cifar100
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Out-of-Distribution Detection
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AUROC
cifar100
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Self-Supervised Learning
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average top-1 classification accuracy
cifar100
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class-incremental learning
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10-stage average accuracy