mlsanityData to 7 Oct 2026

A Survey of Visual Analytics Techniques for Machine Learning

arXiv 2008.09632 ↗First posted 21 Aug 2020cs.HCcited by 56

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Abstract (arXiv)

Visual analytics for machine learning has recently evolved as one of the most exciting areas in the field of visualization. To better identify which research topics are promising and to learn how to apply relevant techniques in visual analytics, we systematically review 259 papers published in the last ten years together with representative works before 2010. We build a taxonomy, which includes three first-level categories: techniques before model building, techniques during model building, and techniques after model building. Each category is further characterized by representative analysis tasks, and each task is exemplified by a set of recent influential works. We also discuss and highlight research challenges and promising potential future research opportunities useful for visual analytics researchers.

Key facts. Cited by 56 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Aug 2020.

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Citing papers per year: 2021: 8; 2022: 16; 2023: 16; 2024: 5; 2025: 4; 2026: 7.

56 papers.

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  1. 2022PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Pathscited by 57
  2. 2021Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Codingcited by 50
  3. 2022Going Beyond XAI: A Systematic Survey for Explanation-Guided Learningcited by 35
  4. 2022DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualizationcited by 32
  5. 2023Foundation Models Meet Visualizations: Challenges and Opportunitiescited by 31
  6. 2023Visual Analytics For Machine Learning: A Data Perspective Surveycited by 25
  7. 2021Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loopcited by 21
  8. 2022A Unified Understanding of Deep NLP Models for Text Classificationcited by 18
  9. 2022Diagnosing Ensemble Few-Shot Classifierscited by 13
  10. 2022DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemapscited by 12
  11. 2022Learning-From-Disagreement: A Model Comparison and Visual Analytics Frameworkcited by 9
  12. 2023Towards an Understanding and Explanation for Mixed-Initiative Artificial Scientific Text Detectioncited by 8
38 more
  1. 2023A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Visioncited by 8
  2. 2025DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoningcited by 8
  3. 2023VideoPro: A Visual Analytics Approach for Interactive Video Programmingcited by 7
  4. 2022ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Datasetcited by 6
  5. 2023Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challengescited by 6
  6. 2022HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniquescited by 5
  7. 2023ProtoExplorer: Interpretable Forensic Analysis of Deepfake Videos using Prototype Exploration and Refinementcited by 5
  8. 2021Non-linear Visual Knowledge Discovery with Elliptic Paired Coordinatescited by 4
  9. 2023Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Modelscited by 4
  10. 2023Visual Analytics for Efficient Image Exploration and User-Guided Image Captioningcited by 4
  11. 2024Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experimentscited by 4
  12. 2021VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representationscited by 3
  13. 2022Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directionscited by 3
  14. 2022Visual Analysis of Neural Architecture Spaces for Summarizing Design Principlescited by 3
  15. 2023AutoDOViz: Human-Centered Automation for Decision Optimizationcited by 3
  16. 2023Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Researchcited by 3
  17. 2024Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023cited by 3
  18. 2021VisioRed: A Visualisation Tool for Interpretable Predictive Maintenancecited by 2
  19. 2023Interpretable multimodal sentiment analysis based on textual modality descriptions by using large-scale language modelscited by 2
  20. 2023ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problemscited by 2
  21. 2021Feature Importance in a Deep Learning Climate Emulatorcited by 1
  22. 2022"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approachescited by 1
  23. 2024GenLens: A Systematic Evaluation of Visual GenAI Model Outputscited by 1
  24. 2024POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Modelscited by 1
  25. 2026KEditVis: A Visual Analytics System for Knowledge Editing of Large Language Modelscited by 1
  26. 2026Interactive Analysis of Global Explanations using Aggregated Class Activation Maps for Network Datacited by 1
  27. 2021CACTUS: Detecting and Resolving Conflicts in Objective Functionscited by 0
  28. 2021Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisationcited by 0
  29. 2022Visual Identification of Problematic Bias in Large Label Spacescited by 0
  30. 2022Exploring Descriptions of Movement Through Geovisual Analyticscited by 0
  31. 2022Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Surveycited by 0
  32. 2022Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networkscited by 0
  33. 2023A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimizationcited by 0
  34. 2023BI-LAVA: Biocuration with Hierarchical Image Labeling through Active Learning and Visual Analysiscited by 0
  35. 2023Eliciting Model Steering Interactions from Users via Data and Visual Design Probescited by 0
  36. 2024Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Makingcited by 0
  37. 2025ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithmscited by 0
  38. 2025A Deep User Interface for Exploring LLaMacited by 0

50 most cited of 56 All 56 (JSON)