Active Learning

Benchmarks

Dataset Name	SOTA Method	Metric
Ilpd		AULC14.7	48	1mo ago
GC	CAAL	AUC Ratio97.24	40	1mo ago
AC		AUC Ratio99.28	40	1mo ago
IvsJ	CAAL	ROC-AUC Ratio99.57	40	1mo ago
Multiple Datasets (test)		AULC58.82	33	2mo ago
Multiple Datasets (val)	Core Set	LL58.37	33	2mo ago
CIFAR-10 (test)	ParBaLS EPIG	Accuracy95.4	29	23d ago
Univariate and 1D PDE datasets (test)	Skγ	Average Rank1.43	22	18d ago
2D Navier-Stokes Kolmogorov flow (test)	Top-K	Mean Error0.98	21	1mo ago
MNIST (test)		Accuracy96.9	19	23d ago
PlantNet300K	PF-MA	Coverage@529.8	16	4mo ago
ImageNet LT	PF-MA	Coverage@549.3	16	4mo ago
Cifar100 LT	PF-MA	Coverage@556	16	4mo ago
CIFAR-100 (test)	REGrad	Accuracy13.37	12	4mo ago
SVHN (test)	REGrad	Accuracy67.37	12	4mo ago
Active Learning Benchmark Suite 8 datasets (Aggregated across all datasets and budget settings)	ParBaLS EPIG	Highest Mean (Bayesian)19	10	2mo ago
fMoW (test)	ParBaLS EPIG	Accuracy98.41	10	2mo ago
iWildCam (test)	ParBaLS EPIG	Accuracy89.77	10	2mo ago
Yelp Review Full (test)	ParBaLS EPIG	Accuracy80.89	10	2mo ago
AG News (test)	ParBaLS EPIG	Accuracy88	10	2mo ago
Civil Comments (test)	ParBaLS EPIG	Accuracy89.57	10	2mo ago
Credit Card Fraud (test)	ParBaLS EPIG	Accuracy93.42	10	2mo ago
Airline Passenger Satisfaction (test)	ParBaLS EPIG	Accuracy89.38	10	2mo ago
LGBB (test)	MGP AL	RMSE0.15	10	3mo ago
Branin (test)	MGP AL	RMSE0.17	10	3mo ago

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