active-learning-resources

A curated list of repositories and papers of active learning in various fields (anomaly detection, computer vision, etc.)

Tabel of Contents

• Papers
  • Survey
  • Active Anomaly Detection
  • Active Learning for Computer Vision
• Code Resources

Papers

• The paper list aims to provide an up-to-date active learning research direction for various fields.

Survey

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

Active Anomaly Detection

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

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Active Learning for Computer Vision

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

Code Resources

• 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.

• 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.