mlsanityData to 7 Oct 2026

Recent Research Advances on Interactive Machine Learning

arXiv 1811.04548 ↗First posted 12 Nov 2018cs.LG stat.MLcited by 17

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Abstract (arXiv)

Interactive Machine Learning (IML) is an iterative learning process that tightly couples a human with a machine learner, which is widely used by researchers and practitioners to effectively solve a wide variety of real-world application problems. Although recent years have witnessed the proliferation of IML in the field of visual analytics, most recent surveys either focus on a specific area of IML or aim to summarize a visualization field that is too generic for IML. In this paper, we systematically review the recent literature on IML and classify them into a task-oriented taxonomy built by us. We conclude the survey with a discussion of open challenges and research opportunities that we believe are inspiring for future work in IML.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Nov 2018.

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Citing papers per year: 2021: 4; 2022: 4; 2023: 6; 2024: 1; 2025: 2.

17 papers.

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  1. 2023The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practicecited by 86
  2. 2022Going Beyond XAI: A Systematic Survey for Explanation-Guided Learningcited by 35
  3. 2023Foundation Models Meet Visualizations: Challenges and Opportunitiescited by 31
  4. 2023Visual Analytics For Machine Learning: A Data Perspective Surveycited by 25
  5. 2021Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Modelscited by 12
  6. 2021Interactive Dimensionality Reduction for Comparative Analysiscited by 12
  7. 2021Towards Visual Explainable Active Learning for Zero-Shot Classificationcited by 10
  8. 2022Interactive Machine Learning: A State of the Art Reviewcited by 6
  9. 2023Visualization for Recommendation Explainability: A Survey and New Perspectivescited by 2
  10. 2021UN-AVOIDS: Unsupervised and Nonparametric Approach for Visualizing Outliers and Invariant Detection Scoringcited by 1
  11. 2022Practitioner Motives to Use Different Hyperparameter Optimization Methodscited by 1
  12. 2023Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Frameworkcited by 1
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  1. 2025Multimedia and Visual Analytics in the Agentic Eracited by 1
  2. 2022Reconnoitering the class distinguishing abilities of the features, to know them bettercited by 0
  3. 2023Eliciting Model Steering Interactions from Users via Data and Visual Design Probescited by 0
  4. 2024Human-in-the-Loop Segmentation of Multi-species Coral Imagerycited by 0
  5. 2025"Stop replacing salt with sugar!'': Towards Intuitive Human-Agent Teachingcited by 0