公平指标论文趋势 2023–2026

群体/个体公平

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 368 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

公平指标论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023282226278
202450302810118
2025333024794
2026262717878

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

全部公平指标论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 368 篇，第 7 / 8 页

  1. ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
  2. ICLR 2023Function-space regularized Rényi divergences
  3. ICLR 2023Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
  4. ICLR 2023Learning Sparse Group Models Through Boolean Relaxation
  5. ICLR 2023Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
  6. ICLR 2023MEDFAIR: Benchmarking Fairness for Medical Imaging
  7. ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
  8. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
  9. ICLR 2023Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
  10. ICLR 2023Riemannian Metric Learning via Optimal Transport
  11. ICLR 2023Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
  12. ICLR 2023ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
  13. ICLR 2023Semi-supervised Community Detection via Structural Similarity Metrics
  14. ICLR 2023Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
  15. ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
  16. ICML 2023An Effective Meaningful Way to Evaluate Survival Models
  17. ICML 2023Brauer's Group Equivariant Neural Networks
  18. ICML 2023Change is Hard: A Closer Look at Subpopulation Shift
  19. ICML 2023Differential Privacy has Bounded Impact on Fairness in Classification
  20. ICML 2023Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
  21. ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
  22. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
  23. ICML 2023Fairness in Matching under Uncertainty
  24. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
  25. ICML 2023Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
  26. ICML 2023How Jellyfish Characterise Alternating Group Equivariant Neural Networks
  27. ICML 2023Improving Fair Training under Correlation Shifts
  28. ICML 2023Learning Antidote Data to Individual Unfairness
  29. ICML 2023Matrix Estimation for Individual Fairness
  30. ICML 2023Neural FIM for learning Fisher information metrics from point cloud data
  31. ICML 2023Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
  32. ICML 2023New metrics and search algorithms for weighted causal DAGs
  33. ICML 2023On the Within-Group Fairness of Screening Classifiers
  34. ICML 2023Quantifying the Variability Collapse of Neural Networks
  35. ICML 2023Sample Complexity of Probability Divergences under Group Symmetry
  36. ICML 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
  37. ICML 2023Superhuman Fairness
  38. ICML 2023The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
  39. ICML 2023Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
  40. ICML 2023Why does Throwing Away Data Improve Worst-Group Error?
  41. NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
  42. NeurIPS 2023Adapting Fairness Interventions to Missing Values
  43. NeurIPS 2023Auditing Fairness by Betting
  44. NeurIPS 2023Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
  45. NeurIPS 2023Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
  46. NeurIPS 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
  47. NeurIPS 2023Clifford Group Equivariant Neural Networks
  48. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
  49. NeurIPS 2023Constant Approximation for Individual Preference Stable Clustering
  50. NeurIPS 2023Cookie Consent Has Disparate Impact on Estimation Accuracy

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查公平指标在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "fairness-metrics"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇公平指标论文？
共 368 篇，按年份分别是 2023 年 78 篇、2024 年 118 篇、2025 年 94 篇、2026 年 78 篇。
NeurIPS 2026 有多少篇公平指标论文？
NeurIPS 2026 有 26 篇公平指标论文，上一届是 33 篇。
ICLR 2026 有多少篇公平指标论文？
ICLR 2026 有 27 篇公平指标论文，上一届是 30 篇。
ICML 2026 有多少篇公平指标论文？
ICML 2026 有 17 篇公平指标论文，上一届是 24 篇。
CVPR 2026 有多少篇公平指标论文？
CVPR 2026 有 8 篇公平指标论文，上一届是 7 篇。
哪个会议的公平指标论文最多？
NeurIPS，2023–2026 年共 137 篇。

「因果与公平」下的其他主题