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 4 / 8 页

  1. NeurIPS 2025Fairness-Regularized Online Optimization with Switching Costs
  2. NeurIPS 2025FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
  3. NeurIPS 2025Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
  4. NeurIPS 2025Improved Algorithms for Fair Matroid Submodular Maximization
  5. NeurIPS 2025Individual Fairness In Strategic Classification
  6. NeurIPS 2025Individually Fair Diversity Maximization
  7. NeurIPS 2025Integral Imprecise Probability Metrics
  8. NeurIPS 2025Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
  9. NeurIPS 2025MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
  10. NeurIPS 2025On Group Sufficiency Under Label Bias
  11. NeurIPS 2025On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
  12. NeurIPS 2025On Optimal Steering to Achieve Exact Fairness
  13. NeurIPS 2025On the VC dimension of deep group convolutional neural networks
  14. NeurIPS 2025Online Multi-Class Selection with Group Fairness Guarantee
  15. NeurIPS 2025OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
  16. NeurIPS 2025Size-adaptive Hypothesis Testing for Fairness
  17. NeurIPS 2025Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
  18. NeurIPS 2025Space Group Equivariant Crystal Diffusion
  19. NeurIPS 2025Statistical Parity with Exponential Weights
  20. NeurIPS 2025The Price of Opportunity Fairness in Matroid Allocation Problems
  21. NeurIPS 2025Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
  22. NeurIPS 2025When majority rules, minority loses: bias amplification of gradient descent
  23. CVPR 2024Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
  24. CVPR 2024FairCLIP: Harnessing Fairness in Vision-Language Learning
  25. CVPR 2024FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
  26. CVPR 2024GARField: Group Anything with Radiance Fields
  27. CVPR 2024Identifying Important Group of Pixels using Interactions
  28. CVPR 2024Learning Group Activity Features Through Person Attribute Prediction
  29. CVPR 2024Neural Lineage
  30. CVPR 2024Preserving Fairness Generalization in Deepfake Detection
  31. CVPR 2024Towards Fairness-Aware Adversarial Learning
  32. CVPR 2024Utility-Fairness Trade-Offs and How to Find Them
  33. ICLR 2024Adversarial Attacks on Fairness of Graph Neural Networks
  34. ICLR 2024Aligning Relational Learning with Lipschitz Fairness
  35. ICLR 2024Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
  36. ICLR 2024Balancing Act: Constraining Disparate Impact in Sparse Models
  37. ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
  38. ICLR 2024Consistent algorithms for multi-label classification with macro-at-$k$ metrics
  39. ICLR 2024Debiasing Attention Mechanism in Transformer without Demographics
  40. ICLR 2024Deceptive Fairness Attacks on Graphs via Meta Learning
  41. ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
  42. ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
  43. ICLR 2024Estimating Shape Distances on Neural Representations with Limited Samples
  44. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
  45. ICLR 2024Fair Classifiers that Abstain without Harm
  46. ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
  47. ICLR 2024FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
  48. ICLR 2024FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
  49. ICLR 2024FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
  50. ICLR 2024Language Model Detectors Are Easily Optimized Against

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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