反事实公平论文趋势 2023–2026

主要结论

• 反事实公平论文从 2023 年的 31 篇降到 2026 年的 21 篇，热度在回落。
• NeurIPS 是发反事实公平论文最多的会议，2023–2026 年共 39 篇，占四个会议总量的 38%。
• 交叉方向里涨得最快的是反事实解释：同时属于两个主题的论文从 2023 年的 8 篇增至 2026 年的 10 篇。
• 在「因果与公平」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的因果发现是 2.4 倍，反事实公平是 0.7 倍。

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

• NeurIPS 2026CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
• ICML 2026Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
• ICLR 2026Counterfactual Explanations on Robust Perceptual Geodesics
• NeurIPS 2025Statistical Parity with Exponential Weights
• ICML 2025Causal Logistic Bandits with Counterfactual Fairness Constraints
• ICLR 2025Certifying Counterfactual Bias in LLMs
• NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
• ICML 2024CF-OPT: Counterfactual Explanations for Structured Prediction
• ICLR 2024Counterfactual Density Estimation using Kernel Stein Discrepancies
• CVPR 2024FADES: Fair Disentanglement with Sensitive Relevance
• NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
• ICML 2023Counterfactual Analysis in Dynamic Latent State Models
• ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
• CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
• NeurIPS 2026Offloading Score: Measuring AI Reliance through Counterfactual Workflows
• ICML 2026The Fairness Hierarchy: A viewpoint from causal inference
• ICLR 2026Counterfactual LLM-based Framework for Measuring Rhetorical Style
• NeurIPS 2025On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
• ICML 2025Counterfactual Graphical Models: Constraints and Inference
• ICLR 2025Towards counterfactual fairness through auxiliary variables

全部反事实公平论文

共 31 篇，第 1 / 1 页

1. CVPR 2024FADES: Fair Disentanglement with Sensitive Relevance
2. CVPR 2024Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
3. CVPR 2024Revisiting Counterfactual Problems in Referring Expression Comprehension
4. ICLR 2024Counterfactual Density Estimation using Kernel Stein Discrepancies
5. ICLR 2024Dynamic Discounted Counterfactual Regret Minimization
6. ICLR 2024Fair Classifiers that Abstain without Harm
7. ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
8. ICLR 2024Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
9. ICML 2024A Dual-module Framework for Counterfactual Estimation over Time
10. ICML 2024An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series
11. ICML 2024CF-OPT: Counterfactual Explanations for Structured Prediction
12. ICML 2024Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates
13. ICML 2024Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
14. ICML 2024Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
15. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
16. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
17. ICML 2024Monotone Individual Fairness
18. ICML 2024Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
19. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
20. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
21. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
22. NeurIPS 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
23. NeurIPS 2024OxonFair: A Flexible Toolkit for Algorithmic Fairness
24. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
25. NeurIPS 2024Regression under demographic parity constraints via unlabeled post-processing
26. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
27. NeurIPS 2024Statistical Inference for Fairness Auditing
28. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
29. NeurIPS 2024The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
30. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
31. NeurIPS 2024When is Multicalibration Post-Processing Necessary?

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。