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 102 篇，第 1 / 3 页

1. ICLR 2026Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks
2. ICLR 2026Counterfactual Explanations on Robust Perceptual Geodesics
3. ICLR 2026Counterfactual LLM-based Framework for Measuring Rhetorical Style
4. ICLR 2026Fair Classification by Direct Intervention on Operating Characteristics
5. ICML 2026A Causal Decomposition Approach for Fair Contextual Multi-Armed Bandits
6. ICML 2026COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs
7. ICML 2026Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity
8. ICML 2026Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
9. ICML 2026Optimal Transport under Group Fairness Constraints
10. ICML 2026Score Correction for Generative Models with Probabilistic Constraints
11. ICML 2026The Fairness Hierarchy: A viewpoint from causal inference
12. NeurIPS 2026Batched Stochastic Linear Bandits with 1-Bit Communication Constraints
13. NeurIPS 2026Can the Parts Fool the Test? Counterfactual Pairing Cycles for Relational OOD
14. NeurIPS 2026Counterfactual Estimation under Composite Treatments via Progressive Distribution Alignment
15. NeurIPS 2026Counterfactual Predictive State Representations: The Intrinsic Dimension of Partial-Information Games
16. NeurIPS 2026Counterfactual Rollout Replay: Forkable Environments as Free Process Rewards for Software Engineering Agents
17. NeurIPS 2026CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations
18. NeurIPS 2026Neural-DISCO: Source-Conditioned Counterfactual Editing of Neural Population Activity
19. NeurIPS 2026Offloading Score: Measuring AI Reliance through Counterfactual Workflows
20. NeurIPS 2026The Pok\'emon Theorem and other Fairness Impossibility Results
21. NeurIPS 2026Tracing Actual Causes with Counterfactual Witness Maps
22. ICLR 2025Certifying Counterfactual Bias in LLMs
23. ICLR 2025Counterfactual Realizability
24. ICLR 2025First-Person Fairness in Chatbots
25. ICLR 2025Learning Causal Alignment for Reliable Disease Diagnosis
26. ICLR 2025Towards counterfactual fairness through auxiliary variables
27. ICLR 2025Towards Marginal Fairness Sliced Wasserstein Barycenter
28. ICML 2025Accelerating Spectral Clustering under Fairness Constraints
29. ICML 2025Causal Logistic Bandits with Counterfactual Fairness Constraints
30. ICML 2025Counterfactual Graphical Models: Constraints and Inference
31. ICML 2025Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
32. ICML 2025Exogenous Isomorphism for Counterfactual Identifiability
33. ICML 2025Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness
34. ICML 2025FairPFN: A Tabular Foundation Model for Causal Fairness
35. ICML 2025Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
36. NeurIPS 2025A Counterfactual Semantics for Hybrid Dynamical Systems
37. NeurIPS 2025A Hierarchy of Graphical Models for Counterfactual Inferences
38. NeurIPS 2025Learning with Statistical Equality Constraints
39. NeurIPS 2025On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
40. NeurIPS 2025Statistical Parity with Exponential Weights
41. CVPR 2024FADES: Fair Disentanglement with Sensitive Relevance
42. CVPR 2024Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning
43. CVPR 2024Revisiting Counterfactual Problems in Referring Expression Comprehension
44. ICLR 2024Counterfactual Density Estimation using Kernel Stein Discrepancies
45. ICLR 2024Dynamic Discounted Counterfactual Regret Minimization
46. ICLR 2024Fair Classifiers that Abstain without Harm
47. ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
48. ICLR 2024Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
49. ICML 2024A Dual-module Framework for Counterfactual Estimation over Time
50. ICML 2024An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series

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。