反事实公平论文趋势 2023–2026

反事实公平约束

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 102 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

反事实公平论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202312413231
202412511331
2025568019
20261047021

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

全部反事实公平论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 102 篇，第 2 / 3 页

  1. ICML 2024CF-OPT: Counterfactual Explanations for Structured Prediction
  2. ICML 2024Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
  3. ICML 2024Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
  4. ICML 2024Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
  5. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
  6. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
  7. ICML 2024Monotone Individual Fairness
  8. ICML 2024Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
  9. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
  10. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
  11. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
  12. NeurIPS 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
  13. NeurIPS 2024OxonFair: A Flexible Toolkit for Algorithmic Fairness
  14. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
  15. NeurIPS 2024Regression under demographic parity constraints via unlabeled post-processing
  16. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
  17. NeurIPS 2024Statistical Inference for Fairness Auditing
  18. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
  19. NeurIPS 2024The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
  20. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
  21. NeurIPS 2024When is Multicalibration Post-Processing Necessary?
  22. CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
  23. CVPR 2023Masked Images Are Counterfactual Samples for Robust Fine-Tuning
  24. ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
  25. ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
  26. ICLR 2023Learning with Logical Constraints but without Shortcut Satisfaction
  27. ICLR 2023Neural Causal Models for Counterfactual Identification and Estimation
  28. ICML 2023Counterfactual Analysis in Dynamic Latent State Models
  29. ICML 2023Eventual Discounting Temporal Logic Counterfactual Experience Replay
  30. ICML 2023Fairness in Matching under Uncertainty
  31. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
  32. ICML 2023GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations
  33. ICML 2023Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
  34. ICML 2023Matrix Estimation for Individual Fairness
  35. ICML 2023Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees
  36. ICML 2023Sequential Counterfactual Risk Minimization
  37. ICML 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
  38. ICML 2023Superhuman Fairness
  39. ICML 2023Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
  40. ICML 2023Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
  41. NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
  42. NeurIPS 2023[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles
  43. NeurIPS 2023Adapting Fairness Interventions to Missing Values
  44. NeurIPS 2023Auditing Fairness by Betting
  45. NeurIPS 2023Constant Approximation for Individual Preference Stable Clustering
  46. NeurIPS 2023Counterfactually Fair Representation
  47. NeurIPS 2023Doubly Constrained Fair Clustering
  48. NeurIPS 2023Fairness Aware Counterfactuals for Subgroups
  49. NeurIPS 2023Fast Model DeBias with Machine Unlearning
  50. NeurIPS 2023Group Fairness in Peer Review

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用 paperlist 查反事实公平在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

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常见问题

2023–2026 年四大会议一共有多少篇反事实公平论文？
共 102 篇，按年份分别是 2023 年 31 篇、2024 年 31 篇、2025 年 19 篇、2026 年 21 篇。
NeurIPS 2026 有多少篇反事实公平论文？
NeurIPS 2026 有 10 篇反事实公平论文，上一届是 5 篇。
ICLR 2026 有多少篇反事实公平论文？
ICLR 2026 有 4 篇反事实公平论文，上一届是 6 篇。
ICML 2026 有多少篇反事实公平论文？
ICML 2026 有 7 篇反事实公平论文，上一届是 8 篇。
CVPR 2024 有多少篇反事实公平论文？
CVPR 2024 有 3 篇反事实公平论文，上一届是 2 篇。
哪个会议的反事实公平论文最多？
NeurIPS，2023–2026 年共 39 篇。

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