:orphan: :orphan: Visualizations ============== On this page, we illustrate how different query strategies behave across various active learning scenarios. To this end, we generate synthetic, low-dimensional toy datasets that allow us to visualize the distribution of samples selected for labeling in feature space. Each example consists of an animation and accompanying code that plot the results across individual active learning cycles. .. raw:: html
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Pool-based AL Strategies ------------------------ .. image:: /examples/pool_classification_legend.png .. raw:: html
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Core Set
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Random Sampling
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MaxHerding
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Active Learning with Cost Embedding (ALCE)
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Density-Diversity-Distribution-Distance Sampling (4DS)
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Uncertainty Herding (UHerding)
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Contrastive Active Learning (CAL)
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Typical Clustering (TypiClust)
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Querying Informative and Representative Examples (QUIRE)
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Uncertainty Sampling (US) with Entropy
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Epistemic Uncertainty Sampling (EpisUS)
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Uncertainty Sampling (US) with Least-Confidence
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Uncertainty Sampling (US) with Margin
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Probability Coverage (ProbCover)
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Uncertainty Sampling with Expected Average Precision (USAP)
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Monte-Carlo Expected Error Reduction (EER) with Log-Loss
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Query-by-Committee (QBC) with Vote Entropy
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Query-by-Committee (QBC) with Variation Ratios
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Monte-Carlo Expected Error Reduction (EER) with Misclassification-Loss
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Sub-sampling Wrapper
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Discriminative Active Learning (DAL)
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Parallel Utility Estimation Wrapper
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Multi-class Probabilistic Active Learning (McPAL)
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Query-by-Committee (QBC) with Kullback-Leibler Divergence
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.. only:: html .. image:: /generated/sphinx_gallery_examples/1-pool-classification/images/thumb/sphx_glr_plot-ValueOfInformationEER-Value_of_Information_(VOI)_thumb.gif :alt: :doc:`/generated/sphinx_gallery_examples/1-pool-classification/plot-ValueOfInformationEER-Value_of_Information_(VOI)` .. raw:: html
Value of Information (VOI)
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Value of Information (VOI) on Labeled Samples
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Value of Information (VOI) on Unlabeled Samples
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Density-weighted Uncertainty Sampling (DWUS)
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Bayesian Active Learning by Disagreement (BALD)
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Dual Strategy for Active Learning
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Batch Active Learning by Diverse Gradient Embedding (BADGE)
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Clustering Uncertainty-weighted Embeddings (CLUE)
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Dropout Query (DropQuery)
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Batch Density-Diversity-Distribution-Distance Sampling (4DS)
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Fast Active Learning by Contrastive UNcertainty (FALCUN)
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Batch Bayesian Active Learning by Disagreement (BatchBALD)
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Pool-based AL Strategies for Regression --------------------------------------- .. image:: /examples/pool_regression_legend.png .. raw:: html
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Greedy Sampling on the Feature Space (GSx)
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Improved Greedy Sampling (GSi)
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Greedy Sampling on the Target Space (GSy)
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Expected Model Variance Reduction
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Expected Model Change Maximization
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Query-by-Committee (QBC) with Empirical Variance
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Expected Model Output Change
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Regression based Kullback Leibler Divergence Maximization
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Regression Tree Based Active Learning (RT-AL) with Random Selection
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Regression Tree Based Active Learning (RT-AL) with Diversity Selection
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Regression Tree Based Active Learning (RT-AL) with Representativity Selection
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Pool-based AL Strategies for Mulitple Annotators ------------------------------------------------ .. image:: /examples/pool_multi_annotator_legend.png .. raw:: html
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Interval Estimation Threshold
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Random Sampling
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Core Set + Greedy Selection
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Stream-based AL Strategies -------------------------- .. image:: /examples/stream_classification_legend.png .. raw:: html
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Split
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Periodic Sampling
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Stream Random Sampling
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Variable-Uncertainty
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Density Based Active Learning for Data Streams
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Fixed-Uncertainty
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Randomized-Variable-Uncertainty
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Cognitive Dual-Query Strategy with Random Sampling
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Cognitive Dual-Query Strategy with Variable-Uncertainty
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Cognitive Dual-Query Strategy with Randomized-Variable-Uncertainty
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Cognitive Dual-Query Strategy with Fixed-Uncertainty
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Probabilistic Active Learning in Datastreams
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.. toctree:: :hidden: :includehidden: /generated/sphinx_gallery_examples/1-pool-classification/index.rst /generated/sphinx_gallery_examples/2-pool-regression/index.rst /generated/sphinx_gallery_examples/3-pool-multi-annotator/index.rst /generated/sphinx_gallery_examples/4-stream/index.rst .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-gallery .. container:: sphx-glr-download sphx-glr-download-python :download:`Download all examples in Python source code: sphinx_gallery_examples_python.zip ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download all examples in Jupyter notebooks: sphinx_gallery_examples_jupyter.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_