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awesome-active-learning
Everything you need about Active Learning (AL).
https://github.com/SupeRuier/awesome-active-learning
- Active learning: theory and applications [2001
- Active Learning Literature Survey **(Recommend to read)** [2009
- A survey on instance selection for active learning [2012
- Active Learning: A Survey [2014
- Active Learning Query Strategies for Classification, Regression, and Clustering: A Survey [2020, Journal of Computer Science and Technology
- A Survey of Active Learning for Text Classification using Deep Neural Networks [2020
- A Survey of Deep Active Learning [2020
- Active Learning: Problem Settings and Recent Developments [2020
- From Model-driven to Data-driven: A Survey on Active Deep Learning [2021
- Understanding the Relationship between Interactions and Outcomes in Human-in-the-Loop Machine Learning [2021
- A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification [2021
- A Comparative Survey of Deep Active Learning [2022
- A survey on online active learning [2023
- A Comparative Survey: Benchmarking for Pool-based Active Learning [2021, IJCAI
- A Framework and Benchmark for Deep Batch Active Learning for Regression [2022
- Re-Benchmarking Pool-Based Active Learning for Binary Classification [2023
- LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning [2023
- Active learning and transfer learning at scale with R and Python - | KDD |
- Active Learning from Theory to Practice
- Overview of Active Learning for Deep Learning
- AL playground - learn, keras) | Google | Abandoned |
- modAL - learn) | Tivadar Danka | Keep updating |
- libact - learn) | NTU(Hsuan-Tien Lin group) | |
- ALiPy - learn) | NUAA(Shengjun Huang) | Include MLAL |
- pytorch_active_learning
- DeepAL - learn, pytorch) | Kuan-Hao Huang | Keep updating & deep neural networks |
- BaaL - learn, pytorch) | ElementAI | Keep updating & bayesian active learning |
- lrtc - learn, tensorflow) | IBM | Text classification |
- Small-text - learn, pytorch) | Christopher Schröder | Text classification |
- DeepCore - learn, pytorch) | Guo et al. | In the coreset selection formulation |
- PyRelationAL: A Library for Active Learning Research and Development - learn, pytorch) | Scherer et al. | |
- DeepAL+ - learn, pytorch) | Zhan | An extension for DeepAL |
- ALaaS - learn) | A*STAR & NTU | Use the stage-level parallellism for AL. |
- Hsuan-Tien Lin
- Shengjun Huang
- Dongrui Wu
- Raymond Mooney
- Yuchen Guo
- Steve Hanneke
Programming Languages
Keywords
active-learning
4
machine-learning
3
machine-learning-library
2
python
2
deep-learning
1
looking-for-contributors
1
natural-language-processing
1
nlp
1
pytorch
1
text-classification
1
transformers
1
active-learning-module
1
bayesian-optimization
1
machine-learning-algorithms
1
machine-learning-api
1
scikit-learn
1
uncertainty-sampling
1
deep-active-learning
1