Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-active-learning
A curated list of awesome Active Learning
https://github.com/baifanxxx/awesome-active-learning
Last synced: about 3 hours ago
JSON representation
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2021
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- paper - fairness)|`Pool.`|Thinking fairness issues|
- paper - GCN-for-Active-Learning)|`Pool.`| |
- paper - VAAL)|`Pool.`| |
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- paper - DWBI-ML/CCAL)|`Pool.`|Defines a good question|
- paper - outliers)|`Pool.`|Thinking about outliers |
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- paper - ACC)|`Pool.`| |
- paper - AOD)|`Pool.`| |
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- paper - pass AL based on SS ViT|
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- paper - start problem|
- paper - MDN)|`Pool.`|GMM|
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- paper - GCN-for-Active-Learning)|`Pool.`| |
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2022
- paper - learning-pretrained-models)|`Pool.`||
- paper - liangyu/CSVAL)|`Pool.`| Cold-start problem|
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- paper - surrogate-estimators)|`Pool.`|Model evaluation|
- paper - dmlab/MQNet)|`Pool.`||
- paper - bit supervision task|
- paper - DeepLearning/tree/1606729c7a16e1bfeb269694314212b6e2737939/InnerEye-DataQuality)|`Pool.`|Label cleaning|
- paper - DA/RIPU)|`Pool.`||
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- paper - start problem|
- paper - start problem|
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- paper - dmlab/TCLP) |`Pool.`|Time series|
- paper - dmlab/MQNet)|`Pool.`||
- paper - surrogate-estimators)|`Pool.`|Model evaluation|
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2020
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- paper - resource-text-classification-framework) |`Pool.`| |
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- paper - fk-self-supervision) || |
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- paper - active-learning-pytorch) |`Cri.`| |
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- paper - group/flare) || |
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- paper - snow/alps) |`Pool.` `SS.`||
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- paper - group/flare) || |
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- paper - fk-self-supervision) || |
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- paper - active-learning-pytorch) |`Cri.`| |
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2019
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2018
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2017
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Before 2017
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- paper - mlg/BALaudiogram)| | |
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- Overview of Active Learning for Deep Learning
- Active Learning from Theory to Practice
- [BAAL - Charron, Frederic and Freyberg, Jan and Pardinas, Rafael and Schell, Lorne. (2019)
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2024
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2023
- Paper - Efficient-Active-Learning) | `Pool.`, `Syn.` | Method-agnostic framework |