A curated list of repositories and papers of active learning in various fields (anomaly detection, computer vision, etc.)
- The paper list aims to provide an up-to-date active learning research direction for various fields.
This is a collection of active learning survey:
paper | abbr. | publication | Year | Citations |
---|---|---|---|---|
A Survey of Deep Active Learning | 2020 | 232 | ||
A Comparative Survey of Deep Active Learning | 2022 | 8 |
paper | abbr. | publication | Year | Citations |
---|---|---|---|---|
Active learning for anomaly and rare-category detection | RCD | NIPS | 2004 | 208 |
Incorporating expert feedback into active anomaly discovery | LODA-AAD | ICDM | 2016 | 144 |
Incorporating feedback into tree-based anomaly detection | AAD | IDEA (KDD Workshop) | 2017 | 46 |
Feedback-Guided Anomaly Discovery via Online Optimization | FIF | KDD | 2018 | 60 |
Deep Active Learning for Anomaly Detection | UAI | 2018 | 17 | |
Interactive anomaly detection on attributed networks | GraphUCB | WSDM | 2019 | 75 |
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning | Meta-AAD | ICDM | 2020 | 22 |
paper | abbr. | publication | Year | Citations |
---|---|---|---|---|
Mind your outliers! investigating the negative impact of outliers on active learning for visual question answering | 2021 | |||
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning | PT4AL | ECCV | 2022 | |
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets | TypiClust | ICML | 2022 |
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General
- [List] Awesome Active Learning
- Previous works of active learning were categorized.
- [List] Awesome Active Learning*
- A curated list of awesome Active Learning.
- [List] Awesome Active Learning**
- A list of resources related to Active learning in machine learning.
- [List] Awesome Active Learning
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Practice
- [Library] modAL
- A modular active learning framework for Python.
- [Library] libact
- libact: Pool-based Active Learning in Python
- [Library] pytorch_active_learning
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book.
- [Code Collection] deep-active-learning
- Python implementations of several active learning algorithms.
- [Code Collection] Active Learning Playground [
⚠️ Inactive]- A python module for experimenting with different active learning algorithms.
- [Library] modAL