An implementation of the state-of-the-art Deep Active Learning algorithms
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Sep 19, 2023 - Python
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sample-selection
Here are 10 public repositories matching this topic...
[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
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Jul 15, 2023 - Python
Regression Graph Neural Network (regGNN) for cognitive score prediction.
regression brain-connectivity symmetric-positive-definite network-neuroscience riemannian-manifold graph-neural-networks gnn sample-selection cognitive-score matrix-parallel-transport geodesic-transport
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Apr 19, 2023 - Python
Code release for ``Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning'' published in CVPR 2022.
semi-supervised-learning sample-selection gradient-synchronization-filter prototype-proximity-filter
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May 18, 2023 - Python
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
biomarker-discovery brain-connectivity network-neuroscience brain-networks sample-selection high-order-connectivity connectome-mapping network-integration network-fusion network-normalization multi-view-networks multigraph-integration multigraph-fusion brain-disorders
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Jul 3, 2020 - Python
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
machine-learning deep-learning residual-learning cbt graph-embedding geometric-deep-learning network-neuroscience resnets brain-networks similarity-learning sample-selection connectional-brain-template evolution-trajectories adversarial-connectome-embedding
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Jun 24, 2021 - Python
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May 22, 2024 - Python
Label-efficiency benchmark — margin sampling hits target accuracy with 38% fewer labels than random, while least-confidence/entropy underperform it. The honest 'which strategy, not whether'
python machine-learning annotation scikit-learn ml active-learning uncertainty-sampling sample-selection data-centric-ai label-efficiency
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Jul 25, 2026 - Python
Diversity-aware sample selection and kNN-based extrapolation of a partially measured data layer to the complete dataset.
machine-learning bioinformatics inference metagenomics microbiome subsetting multi-omics knn-algorithm sample-selection multi-omics-integration
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Aug 26, 2026 - Python
Active learning and sample selection framework under label budget constraints using uncertainty sampling and small CNN models.
convolutional-neural-networks active-learning uncertainty-sampling sample-selection budget-constrained-ml
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Oct 24, 2026 - Python
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