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Active Learning

Active Learning is a paradigm in supervised machine learning which uses fewer training examples to achieve better optimization by iteratively training a predictor, and using the predictor in each iteration to choose the training examples which will increase its chances of finding better configurations and at the same time improving the accuracy of the prediction model

Source: Polystore++: Accelerated Polystore System for Heterogeneous Workloads

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2211–2220 of 3073 papers

Title	Date	Tasks	Status
Measuring Mother-Infant Emotions By Audio Sensing	Dec 10, 2019	Active Learning	—Unverified
Large deviations for the perceptron model and consequences for active learning	Dec 9, 2019	Active Learning	—Unverified
Continual egocentric object recognition	Dec 6, 2019	Active LearningNovelty Detection	CodeCode Available
A quantum active learning algorithm for sampling against adversarial attacks	Dec 6, 2019	Active Learning	—Unverified
Towards countering hate speech against journalists on social media	Dec 5, 2019	Active LearningHate Speech Detection	—Unverified
Active Learning of SVDD Hyperparameter Values	Dec 4, 2019	Active LearningOutlier Detection	—Unverified
Deep Bayesian Active Learning for Multiple Correct Outputs	Dec 2, 2019	Active LearningAnswer Generation	—Unverified
Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels	Dec 2, 2019	Active Learning	CodeCode Available
Cost Effective Active Search	Dec 1, 2019	Active Learning	CodeCode Available
Deep imitation learning for molecular inverse problems	Dec 1, 2019	Active LearningGraph Generation	—Unverified

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TypiClust	Accuracy	93.2	—	Unverified
2	PT4AL	Accuracy	93.1	—	Unverified
3	Learning loss	Accuracy	91.01	—	Unverified
4	CoreGCN	Accuracy	90.7	—	Unverified
5	Core-set	Accuracy	89.92	—	Unverified
6	Random Baseline (Resnet18)	Accuracy	88.45	—	Unverified
7	Random Baseline (VGG16)	Accuracy	85.09	—	Unverified