Pool-based AL Strategies#

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Core Set

Core Set

MaxHerding

MaxHerding

Random Sampling

Random Sampling

Active Learning with Cost Embedding (ALCE)

Active Learning with Cost Embedding (ALCE)

Contrastive Active Learning (CAL)

Contrastive Active Learning (CAL)

Typical Clustering (TypiClust)

Typical Clustering (TypiClust)

Uncertainty Sampling (US) with Entropy

Uncertainty Sampling (US) with Entropy

Epistemic Uncertainty Sampling (EpisUS)

Epistemic Uncertainty Sampling (EpisUS)

Querying Informative and Representative Examples (QUIRE)

Querying Informative and Representative Examples (QUIRE)

Uncertainty Sampling (US) with Margin

Uncertainty Sampling (US) with Margin

Uncertainty Sampling (US) with Least-Confidence

Uncertainty Sampling (US) with Least-Confidence

Probability Coverage (ProbCover)

Probability Coverage (ProbCover)

Uncertainty Sampling with Expected Average Precision (USAP)

Uncertainty Sampling with Expected Average Precision (USAP)

Density-Diversity-Distribution-Distance Sampling (4DS)

Density-Diversity-Distribution-Distance Sampling (4DS)

Monte-Carlo Expected Error Reduction (EER) with Log-Loss

Monte-Carlo Expected Error Reduction (EER) with Log-Loss

Monte-Carlo Expected Error Reduction (EER) with Misclassification-Loss

Monte-Carlo Expected Error Reduction (EER) with Misclassification-Loss

Sub-sampling Wrapper

Sub-sampling Wrapper

Discriminative Active Learning (DAL)

Discriminative Active Learning (DAL)

Parallel Utility Estimation Wrapper

Parallel Utility Estimation Wrapper

Multi-class Probabilistic Active Learning (McPAL)

Multi-class Probabilistic Active Learning (McPAL)

Query-by-Committee (QBC) with Vote Entropy

Query-by-Committee (QBC) with Vote Entropy

Query-by-Committee (QBC) with Variation Ratios

Query-by-Committee (QBC) with Variation Ratios

Query-by-Committee (QBC) with Kullback-Leibler Divergence

Query-by-Committee (QBC) with Kullback-Leibler Divergence

Value of Information (VOI)

Value of Information (VOI)

Value of Information (VOI) on Labeled Samples

Value of Information (VOI) on Labeled Samples

Value of Information (VOI) on Unlabeled Samples

Value of Information (VOI) on Unlabeled Samples

Bayesian Active Learning by Disagreement (BALD)

Bayesian Active Learning by Disagreement (BALD)

Density-weighted Uncertainty Sampling (DWUS)

Density-weighted Uncertainty Sampling (DWUS)

Dual Strategy for Active Learning

Dual Strategy for Active Learning

Batch Active Learning by Diverse Gradient Embedding (BADGE)

Batch Active Learning by Diverse Gradient Embedding (BADGE)

Clustering Uncertainty-weighted Embeddings (CLUE)

Clustering Uncertainty-weighted Embeddings (CLUE)

Dropout Query (DropQuery)

Dropout Query (DropQuery)

Fast Active Learning by Contrastive UNcertainty (FALCUN)

Fast Active Learning by Contrastive UNcertainty (FALCUN)

Batch Density-Diversity-Distribution-Distance Sampling (4DS)

Batch Density-Diversity-Distribution-Distance Sampling (4DS)

Batch Bayesian Active Learning by Disagreement (BatchBALD)

Batch Bayesian Active Learning by Disagreement (BatchBALD)