FashionMNIST

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	FashionMNIST (test)	Accuracy95.71	363
Image Classification	FashionMNIST	Accuracy96.93	185
Uncertainty Quantification	FashionMNIST	NLL0.248	42
Copyright Verification	FashionMNIST (test)	CVSR100	40
Anomaly Detection	FashionMNIST (test)	ROCAUC0.959	35
Conformal Prediction	FashionMNIST (test)	Efficiency Rate (γn,m)3.2814	27
Byzantine Attack Detection	FashionMNIST (test)	Detection Accuracy100	26
Poisoning Attack Mitigation	FashionMNIST	F1 Score87.8	19
Classification	FashionMNIST	P10 Delta0.0095	18
Classification	FashionMNIST	Worst Delta1.65	18
Classification	FashionMNIST	Average Delta0.8309	18
Image Classification	FashionMNIST (IID)	Accuracy90.6	17
Image Reconstruction	FashionMNIST (test)	MSE0.004	17
Data Attribution	FashionMNIST	Data Attribution Value0.1072	15
Out-of-Distribution Detection	FashionMNIST (test)	AUROC0.917	14
Uncertainty Quantification	FashionMNIST	V-ID92.5	13
Image Classification	FashionMNIST	Standard Accuracy91.2	12
Evasion Attack Detection	FashionMNIST	Detection Accuracy95.11	12
Deep Active Learning	FashionMNIST	AUBC0.7812	12
Image modeling	FashionMNIST (test)	Bits/dim0.59	12
Dynamic Feature Selection	FashionMNIST	AUAC-F181.19	10
Fine-grained accuracy control attack	FashionMNIST	Control Error Rate0.59	10
Image Classification	FashionMNIST OOD: MNIST (test)	AUROC (H)0.971	10
Denoising Autoencoding	FashionMNIST	PSNR24.91	10
Novelty Detection	FashionMNIST [0,2,3,7,8] (ID) vs [1,4,5,6,9] (OOD) (unlabeled set)	AUROC95	10

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