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 50 篇，第 1 / 1 页

  1. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
  2. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
  3. NeurIPS 2024Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
  4. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
  5. NeurIPS 2024CultureLLM: Incorporating Cultural Differences into Large Language Models
  6. NeurIPS 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
  7. NeurIPS 2024Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
  8. NeurIPS 2024Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
  9. NeurIPS 2024Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
  10. NeurIPS 2024Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
  11. NeurIPS 2024Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
  12. NeurIPS 2024Fair Kernel K-Means: from Single Kernel to Multiple Kernel
  13. NeurIPS 2024Fair Online Bilateral Trade
  14. NeurIPS 2024Fair Secretaries with Unfair Predictions
  15. NeurIPS 2024Fair Wasserstein Coresets
  16. NeurIPS 2024Fairness and Efficiency in Online Class Matching
  17. NeurIPS 2024Fairness in Social Influence Maximization via Optimal Transport
  18. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach
  19. NeurIPS 2024Fairness-Aware Estimation of Graphical Models
  20. NeurIPS 2024Fairness-Aware Meta-Learning via Nash Bargaining
  21. NeurIPS 2024Graph-based Uncertainty Metrics for Long-form Language Model Generations
  22. NeurIPS 2024Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation
  23. NeurIPS 2024Improving Subgroup Robustness via Data Selection
  24. NeurIPS 2024Interpolating Item and User Fairness in Multi-Sided Recommendations
  25. NeurIPS 2024Learning to Understand: Identifying Interactions via the Möbius Transform
  26. NeurIPS 2024MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
  27. NeurIPS 2024Mind the Graph When Balancing Data for Fairness or Robustness
  28. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
  29. NeurIPS 2024Monomial Matrix Group Equivariant Neural Functional Networks
  30. NeurIPS 2024Multi-Group Proportional Representation in Retrieval
  31. NeurIPS 2024Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
  32. NeurIPS 2024OxonFair: A Flexible Toolkit for Algorithmic Fairness
  33. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
  34. NeurIPS 2024Perceptual Fairness in Image Restoration
  35. NeurIPS 2024Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions
  36. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
  37. NeurIPS 2024Quantitative Convergences of Lie Group Momentum Optimizers
  38. NeurIPS 2024Reproducibility study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
  39. NeurIPS 2024Reproducibility Study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"
  40. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
  41. NeurIPS 2024Statistical Inference for Fairness Auditing
  42. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
  43. NeurIPS 2024The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
  44. NeurIPS 2024Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
  45. NeurIPS 2024Towards Explainable Evaluation Metrics for Machine Translation
  46. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
  47. NeurIPS 2024Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
  48. NeurIPS 2024User-item fairness tradeoffs in recommendations
  49. NeurIPS 2024Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
  50. NeurIPS 2024When is Multicalibration Post-Processing Necessary?

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。

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