Active Learning

Benchmarks

Dataset Name	SOTA Method	Metric
Multiple Datasets (test)		AULC58.82	33	8d ago
Multiple Datasets (val)	Core Set	LL58.37	33	8d ago
Ilpd		AULC14.7	28	1d ago
CIFAR-10 (test)	ParBaLS EPIG	Accuracy95.4	22	22d ago
GC	CAAL	AUC Ratio97.24	20	1d ago
AC		AUC Ratio99.28	20	1d ago
IvsJ	CAAL	ROC-AUC Ratio99.57	20	1d ago
PlantNet300K	PF-MA	Coverage@529.8	16	2mo ago
ImageNet LT	PF-MA	Coverage@549.3	16	2mo ago
Cifar100 LT	PF-MA	Coverage@556	16	2mo ago
CIFAR-100 (test)	REGrad	Accuracy13.37	12	3mo ago
SVHN (test)	REGrad	Accuracy67.37	12	3mo ago
MNIST (test)	REGrad	Accuracy75.31	12	3mo ago
Active Learning Benchmark Suite 8 datasets (Aggregated across all datasets and budget settings)	ParBaLS EPIG	Highest Mean (Bayesian)19	10	22d ago
fMoW (test)	ParBaLS EPIG	Accuracy98.41	10	22d ago
iWildCam (test)	ParBaLS EPIG	Accuracy89.77	10	22d ago
Yelp Review Full (test)	ParBaLS EPIG	Accuracy80.89	10	22d ago
AG News (test)	ParBaLS EPIG	Accuracy88	10	22d ago
Civil Comments (test)	ParBaLS EPIG	Accuracy89.57	10	22d ago
Credit Card Fraud (test)	ParBaLS EPIG	Accuracy93.42	10	22d ago
Airline Passenger Satisfaction (test)	ParBaLS EPIG	Accuracy89.38	10	22d ago
LGBB (test)	MGP AL	RMSE0.15	10	1mo ago
Branin (test)	MGP AL	RMSE0.17	10	1mo ago
Airline (test)	MGP AL	RMSE39	10	1mo ago
Sinus (test)		RMSE0.12	10	1mo ago

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