mlsanityData to 7 Oct 2026

Predictive Inference with Feature Conformal Prediction

arXiv 2210.00173 ↗First posted 1 Oct 2022cs.LG cs.AI stat.MEcited by 33

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Abstract (arXiv)

Conformal prediction is a distribution-free technique for establishing valid prediction intervals. Although conventionally people conduct conformal prediction in the output space, this is not the only possibility. In this paper, we propose feature conformal prediction, which extends the scope of conformal prediction to semantic feature spaces by leveraging the inductive bias of deep representation learning. From a theoretical perspective, we demonstrate that feature conformal prediction provably outperforms regular conformal prediction under mild assumptions. Our approach could be combined with not only vanilla conformal prediction, but also other adaptive conformal prediction methods. Apart from experiments on existing predictive inference benchmarks, we also demonstrate the state-of-the-art performance of the proposed methods on large-scale tasks such as ImageNet classification and Cityscapes image segmentation.The code is available at urlhttps://github.com/AlvinWen428/FeatureCP.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). Builds on 38 of its 62 references that are in the map. First posted on arXiv 1 Oct 2022.

Builds on

38 of 62 references.

References · 38

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2017On Calibration of Modern Neural Networkscited by 4,860
  4. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  5. 2021A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantificationcited by 777
  6. 2021A Survey of Uncertainty in Deep Neural Networkscited by 675
  7. 2020Image Segmentation Using Deep Learning: A Surveycited by 659
  8. 2016Distribution-Free Predictive Inference For Regressioncited by 657
  9. 2019Conformalized Quantile Regressioncited by 620
  10. 2019Conformal Prediction Under Covariate Shiftcited by 511
  11. 2019Measuring Calibration in Deep Learningcited by 443
  12. 2018Accurate Uncertainties for Deep Learning Using Calibrated Regressioncited by 417
26 more
  1. 2020Classification with Valid and Adaptive Coveragecited by 390
  2. 2021Revisiting the Calibration of Modern Neural Networkscited by 387
  3. 2020Uncertainty Sets for Image Classifiers using Conformal Predictioncited by 365
  4. 2021Adaptive Conformal Inference Under Distribution Shiftcited by 360
  5. 2022Conformal prediction beyond exchangeabilitycited by 348
  6. 2015Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networkscited by 295
  7. 2016ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentationcited by 291
  8. 2021Distribution-Free, Risk-Controlling Prediction Setscited by 278
  9. 2021Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Controlcited by 256
  10. 2020Conformal Inference of Counterfactuals and Individual Treatment Effectscited by 150
  11. 2021Learning Optimal Conformal Classifierscited by 108
  12. 2022Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imagingcited by 107
  13. 2021Distribution-free uncertainty quantification for classification under label shiftcited by 99
  14. 2013A Conformal Prediction Approach to Explore Functional Datacited by 85
  15. 2021Conformal Prediction using Conditional Histogramscited by 77
  16. 2019A comparison of some conformal quantile regression methodscited by 76
  17. 2020CD-split and HPD-split: efficient conformal regions in high dimensionscited by 74
  18. 2020Neural Approximate Sufficient Statistics for Implicit Modelscited by 72
  19. 2019Flexible distribution-free conditional predictive bands using density estimatorscited by 64
  20. 2014Regression Conformal Prediction with Nearest Neighbourscited by 59
  21. 2021Conformalized Survival Analysiscited by 53
  22. 2021Selection and Aggregation of Conformal Prediction Setscited by 46
  23. 2017Dropout Inference in Bayesian Neural Networks with Alpha-divergencescited by 28
  24. 2019Conformal prediction with localizationcited by 22
  25. 2022Split Localized Conformal Predictioncited by 20
  26. 2021T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLPcited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 8; 2024: 7; 2025: 9; 2026: 7.

33 papers.

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  1. 2023Conformal Prediction for Deep Classifier via Label Rankingcited by 52
  2. 2023Conformal Prediction for Time Series with Modern Hopfield Networkscited by 40
  3. 2022Conffusion: Confidence Intervals for Diffusion Modelscited by 33
  4. 2022Distribution Free Prediction Sets for Node Classificationcited by 28
  5. 2023Distributional GFlowNets with Quantile Flowscited by 28
  6. 2024Conformal Prediction: A Data Perspectivecited by 25
  7. 2024Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertaintycited by 19
  8. 2023Improving Adaptive Conformal Prediction Using Self-Supervised Learningcited by 17
  9. 2024Robust Yet Efficient Conformal Prediction Setscited by 16
  10. 2024Does confidence calibration improve conformal prediction?cited by 12
  11. 2024Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Predictioncited by 10
  12. 2023Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Predictioncited by 9
21 more
  1. 2024Uncertainty quantification for probabilistic machine learning in earth observation using conformal predictioncited by 9
  2. 2024Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusioncited by 9
  3. 2025Calibrated Physics-Informed Uncertainty Quantificationcited by 8
  4. 2023Empirically Validating Conformal Prediction on Modern Vision Architectures Under Distribution Shift and Long-tailed Datacited by 7
  5. 2025Online time series prediction using feature adjustmentcited by 4
  6. 2025COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metricscited by 4
  7. 2025Sparse Identification of Nonlinear Dynamics with Conformal Predictioncited by 3
  8. 2025CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decompositioncited by 2
  9. 2023How Good Are Deep Generative Models for Solving Inverse Problems?cited by 1
  10. 2026Efficient Conformal Volumetry for Template-Based Segmentationcited by 1
  11. 2023PAGER: A Framework for Failure Analysis of Deep Regression Modelscited by 0
  12. 2025Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting Modelcited by 0
  13. 2025Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretabilitycited by 0
  14. 2025Attention-Based Feature Online Conformal Prediction for Time Seriescited by 0
  15. 2025Conformal Correction for Efficiency May be at Odds with Entropycited by 0
  16. 2026Anatomically-aware conformal prediction for medical image segmentation with random walkscited by 0
  17. 2026Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Bettercited by 0
  18. 2026Contrastive Conformal Setscited by 0
  19. 2026Fair Conformal Classification via Learning Representation-Based Groupscited by 0
  20. 2026Uncertainty Quantification for LLM-based Code Generationcited by 0
  21. 2026Benchmarking non-conformity score functions in conformal predictioncited by 0