mlsanityData to 7 Oct 2026

Confident AI

arXiv 2202.05957 ↗First posted 12 Feb 2022cs.AIcited by 6

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Abstract (arXiv)

In this paper, we propose "Confident AI" as a means to designing Artificial Intelligence (AI) and Machine Learning (ML) systems with both algorithm and user confidence in model predictions and reported results. The 4 basic tenets of Confident AI are Repeatability, Believability, Sufficiency, and Adaptability. Each of the tenets is used to explore fundamental issues in current AI/ML systems and together provide an overall approach to Confident AI.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 12 of its 24 references that are in the map. First posted on arXiv 12 Feb 2022.

Builds on

12 of 24 references.

References · 12

  1. 2015Distilling the Knowledge in a Neural Networkcited by 10,076
  2. 2018Continual Lifelong Learning with Neural Networks: A Reviewcited by 1,313
  3. 2018Recent Advances in Open Set Recognition: A Surveycited by 309
  4. 2021Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer visioncited by 76
  5. 2021Optimal strategies for reject option classifierscited by 61
  6. 2021Adversarial Example Detection for DNN Models: A Review and Experimental Comparisoncited by 51
  7. 2018Dynamic-structured Semantic Propagation Networkcited by 38
  8. 2020Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifiercited by 34
  9. 2018Hierarchical Novelty Detection for Visual Object Recognitioncited by 26
  10. 2021A Survey on Open Set Recognitioncited by 25
  11. 2020On the Role of Dataset Quality and Heterogeneity in Model Confidencecited by 7
  12. 2020Posterior Adaptation With New Priorscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 4; 2026: 1.

6 papers.

  1. 2025MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Modelscited by 7
  2. 2025Enterprise Large Language Model Evaluation Benchmarkcited by 5
  3. 2024BEADs: Bias Evaluation Across Domainscited by 3
  4. 2025Flowchart2Mermaid: A Vision-Language Model Powered System for Converting Flowcharts into Editable Diagram Codecited by 3
  5. 2025Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputscited by 1
  6. 2026Graph-Structured Rubrics: Compiling Rubrics into Typed Evaluation Graphs for LLM Judgescited by 0