Examples

Pool Based AL Strategies

Legend for classification plots

Legend for regression plots

Random Sampling

Random Sampling

Active Learning with Cost Embedding

Active Learning with Cost Embedding

Uncertainty Sampling with Entropy

Uncertainty Sampling with Entropy

Epistemic Uncertainty Sampling

Epistemic Uncertainty Sampling

Querying Informative and Representative Examples

Querying Informative and Representative Examples

Uncertainty Sampling with Margin

Uncertainty Sampling with Margin

Uncertainty Sampling with Least-Confidence

Uncertainty Sampling with Least-Confidence

Expected Average Precision

Expected Average Precision

Density-Diversity-Distribution-Distance Sampling

Density-Diversity-Distribution-Distance Sampling

Monte-Carlo EER with Log-Loss

Monte-Carlo EER with Log-Loss

Batch Density-Diversity-Distribution-Distance Sampling

Batch Density-Diversity-Distribution-Distance Sampling

Monte-Carlo EER with Misclassification-Loss

Monte-Carlo EER with Misclassification-Loss

Discriminative Active Learning

Discriminative Active Learning

Multi-class Probabilistic Active Learning

Multi-class Probabilistic Active Learning

Query-by-Committee with Vote Entropy

Query-by-Committee with Vote Entropy

Query-by-Committee with Kullback-Leibler Divergence

Query-by-Committee with Kullback-Leibler Divergence

Value of Information

Value of Information

Value of Information on Labeled Samples

Value of Information on Labeled Samples

Value of Information on Unlabeled Samples

Value of Information on Unlabeled Samples

Batch Bayesian Active Learning by Disagreement (BatchBALD)

Batch Bayesian Active Learning by Disagreement (BatchBALD)

Bayesian Active Learning by Disagreement

Bayesian Active Learning by Disagreement

Density-weighted Uncertainty Sampling

Density-weighted Uncertainty Sampling

Greedy Sampling on the Feature Space (GSx)

Greedy Sampling on the Feature Space (GSx)

Greedy Sampling on the Target Space (GSy)

Greedy Sampling on the Target Space (GSy)

Improved Greedy Sampling (GSi)

Improved Greedy Sampling (GSi)

Expected Model Variance Reduction

Expected Model Variance Reduction

Expected Model Change

Expected Model Change

Expected Model Output Change

Expected Model Output Change

Regression based Kullback Leibler Divergence Maximization

Regression based Kullback Leibler Divergence Maximization

Dual strategy for Active Learning

Dual strategy for Active Learning

Stream Based AL Strategies

Legend for classification plots

Split

Split

Periodic Sampling

Periodic Sampling

Stream Random Sampling

Stream Random Sampling

Fixed-Uncertainty

Fixed-Uncertainty

Variable-Uncertainty

Variable-Uncertainty

Density Based Active Learning for Data Streams

Density Based Active Learning for Data Streams

Randomized-Variable-Uncertainty

Randomized-Variable-Uncertainty

Cognitive Dual-Query Strategy with Random Sampling

Cognitive Dual-Query Strategy with Random Sampling

Cognitive Dual-Query Strategy with Fixed-Uncertainty

Cognitive Dual-Query Strategy with Fixed-Uncertainty

Cognitive Dual-Query Strategy with Variable-Uncertainty

Cognitive Dual-Query Strategy with Variable-Uncertainty

Cognitive Dual-Query Strategy with Randomized-Variable-Uncertainty

Cognitive Dual-Query Strategy with Randomized-Variable-Uncertainty

Probabilistic Active Learning in Datastreams

Probabilistic Active Learning in Datastreams