Machine learning with a reject option: a survey

Cites (252)

Items 201–245 of 245

1. Learning Vector Quantization with Adaptive Cost-Based Outlier-Rejection
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2. Classification with Reject Option Using the Self-Organizing Map
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3. Rejection Schemes in Multi-class Classification -- Application to Handwritten Character Recognition
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4. Adapting cost-sensitive learning for reject option
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5. Exponential Savings in Agnostic Active Learning Through Abstention
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6. Supervised hyperspectral image classification with rejection
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7. Learning to Abstain from Binary Prediction
   Akshay Balsubramani · 2016 · arXiv (Cornell University)
8. How to define a rejection class based on model learning?
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9. Classification with Rejection: Concepts and Evaluations
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10. Local Reject Option for Deterministic Multi-class SVM
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11. AUC Optimization with a Reject Option
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12. Arbitrated Dynamic Ensemble with Abstaining for Time-Series Forecasting on Data Streams
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13. Machine Learning in Systems Biology
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14. Semi-supervised Learning from Active Noisy Soft Labels for Anomaly Detection
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15. Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax
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16. Risk-Controlled Selective Prediction for Regression Deep Neural Network Models
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17. Generalized Neural Framework for Learning with Rejection
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18. Robust hyperspectral image classification with rejection fields
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19. A Rejection Option for the Multilayer Perceptron Using Hyperplanes
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20. Computer aided system diagnostic with an incomplete learning set
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21. Discriminative learning for minimum error and minimum reject classification
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22. ROC-based cost-sensitive classification with a reject option
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23. Interpretable Cascade Classifiers with Abstention
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24. Active Learning for Classification with Abstention
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25. Binary Classification with Bounded Abstention Rate
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26. AUC-based Selective Classification
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27. Towards Better Selective Classification
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28. Reject Option Paradigm for the Reduction of Support Vectors
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29. Cost-sensitive SVM with Error Cost and Class-dependent Reject Cost
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30. Optimum Reject Options for Prototype-based Classification
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31. SCRIB: Set-Classifier with Class-Specific Risk Bounds for Blackbox Models
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32. ATRO: Adversarial Training with a Rejection Option
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33. Detecting Evasion Attacks in Deployed Tree Ensembles
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34. Selective Classification via One-Sided Prediction
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35. Securing Deep Learning Models with Autoencoder based Anomaly Detection
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36. Random Forest for Reliable Pre-classification of Handwritten Characters
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37. Image Classification with Rejection using Contextual Information
    Filipe Condessa, José M. Bioucas‐Dias, Castro, Carlos, John A. Ozolek, Jelena Kovačević · 2015 · arXiv (Cornell University)
38. Probabilistic extension and reject options for pairwise LVQ
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39. Probabilistic personalised cascade with abstention
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40. A novel reject option applied to sleep stage scoring
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41. Towards optimally abstaining from prediction with OOD test examples
    Adam Tauman Kalai, Varun Kanade · 2021 · arXiv (Cornell University)
42. Know Your Limits: Machine Learning with Rejection for Vehicle Engineering
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43. Learning with Labeling Induced Abstentions
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44. Online Selective Classification with Limited Feedback
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45. How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection
    Perini, Lorenzo, Daniele Giannuzzi, Jesse J. Davis · 2023 · arXiv (Cornell University)