mlsanityData to 7 Oct 2026

Entropy Reweighted Conformal Classification

arXiv 2407.17377 ↗First posted 24 Jul 2024cs.LGcited by 8

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Abstract (arXiv)

Conformal Prediction (CP) is a powerful framework for constructing prediction sets with guaranteed coverage. However, recent studies have shown that integrating confidence calibration with CP can lead to a degradation in efficiency. In this paper, We propose an adaptive approach that considers the classifier's uncertainty and employs entropy-based reweighting to enhance the efficiency of prediction sets for conformal classification. Our experimental results demonstrate that this method significantly improves efficiency.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 27 of its 35 references that are in the map. First posted on arXiv 24 Jul 2024.

Builds on

27 of 35 references.

References · 27

  1. 2017On Calibration of Modern Neural Networkscited by 4,860
  2. 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,283
  3. 2014Deep Learning Face Attributes in the Wildcited by 3,679
  4. 2015Character-level Convolutional Networks for Text Classificationcited by 2,293
  5. 2019Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methodscited by 903
  6. 2020Classification with Valid and Adaptive Coveragecited by 390
  7. 2020Uncertainty Sets for Image Classifiers using Conformal Predictioncited by 365
  8. 2016Least Ambiguous Set-Valued Classifiers with Bounded Error Levelscited by 270
  9. 2021Localized Conformal Prediction: A Generalized Inference Framework for Conformal Predictioncited by 112
  10. 2023Class-Conditional Conformal Prediction with Many Classescited by 109
  11. 2020Local Temperature Scaling for Probability Calibrationcited by 95
  12. 2022Training Uncertainty-Aware Classifiers with Conformalized Deep Learningcited by 62
15 more
  1. 2023Conformal Prediction for Deep Classifier via Label Rankingcited by 52
  2. 2021Selection and Aggregation of Conformal Prediction Setscited by 46
  3. 2023Conformal prediction under ambiguous ground truthcited by 31
  4. 2023Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' Viewcited by 27
  5. 2023Learning to Scale Logits for Temperature-Conditional GFlowNetscited by 26
  6. 2024Trustworthy Classification through Rank-Based Conformal Prediction Setscited by 20
  7. 2021Anomalous Edge Detection in Edge Exchangeable Social Network Modelscited by 17
  8. 2023Integrating Uncertainty Awareness into Conformalized Quantile Regressioncited by 17
  9. 2024Does confidence calibration improve conformal prediction?cited by 12
  10. 2024Normalizing Flows for Conformal Regressioncited by 11
  11. 2024Conformal Load Prediction with Transductive Graph Autoencoderscited by 11
  12. 2024Weighted Aggregation of Conformity Scores for Classificationcited by 11
  13. 2023On training locally adaptive CPcited by 8
  14. 2018Spline-Based Probability Calibrationcited by 7
  15. 2023On the Temperature of Bayesian Graph Neural Networks for Conformal Predictioncited by 4

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 5; 2026: 1.

8 papers.

  1. 2024Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imagingcited by 10
  2. 2024Conformalized Interval Arithmetic with Symmetric Calibrationcited by 8
  3. 2025Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regressioncited by 6
  4. 2025Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliabilitycited by 6
  5. 2025Enhanced Route Planning with Calibrated Uncertainty Setcited by 5
  6. 2025Conditional Conformal Risk Adaptationcited by 5
  7. 2025Residual Reweighted Conformal Prediction for Graph Neural Networkscited by 2
  8. 2026Softmax is not Enough (for Adaptive Conformal Classification)cited by 0