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 137 篇，第 1 / 3 页

  1. NeurIPS 2026A Comprehensive View of Fairness through Distributional Stability
  2. NeurIPS 2026Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair
  3. NeurIPS 2026Auditing Cross-Lingual Fairness in Language Model Watermarking
  4. NeurIPS 2026Beyond Proxy Metrics: MLLM-Based Human Surrogate Evaluation for Explainable AI
  5. NeurIPS 2026Cost Efficient Fairness Audit Under Partial Feedback
  6. NeurIPS 2026Data-Free Metrics Are Not Invariant Under Functionality-Preserving Reparametrisations
  7. NeurIPS 2026Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
  8. NeurIPS 2026Forecasting Downstream Performance of LLMs With Proxy Metrics
  9. NeurIPS 2026FRInGe: Distribution-Space Integrated Gradients with Fisher–Rao Geometry
  10. NeurIPS 2026Geometry-Aware Similarity Metrics for Neural Representations on Riemannian and Statistical Manifolds
  11. NeurIPS 2026How Does Pruning Change Decisions in Large Language Models?
  12. NeurIPS 2026Inferring learning rules in deep neural network architectures from animal learning data
  13. NeurIPS 2026Malicious Node Injection: A Transferable Adversarial Attack on GNN Fairness
  14. NeurIPS 2026Matrix-Free Natural Gradient via Stochastic Truncated Metrics
  15. NeurIPS 2026Overcoming the Resolution Limit: Significance-Aware Regularization for Intersectional Fairness
  16. NeurIPS 2026Post-Processing Guarantees for Classification under Linear-Fractional Performance Metrics
  17. NeurIPS 2026Practical Estimation of the Bayes Optimal Fairness-Accuracy Tradeoff with Soft Labels
  18. NeurIPS 2026Recovering Clean Evaluation Metrics from Contaminated Benchmarks
  19. NeurIPS 2026Reviewer Scores Are Not Comparable Across Research Areas in ML Peer Review
  20. NeurIPS 2026Scalable Fair Learning via Cramér-von Mises Regularization
  21. NeurIPS 2026Simultaneous Individual, Group and Multigroup Fairness in Set Covering Problems
  22. NeurIPS 2026Space Group Conditional Flow Matching
  23. NeurIPS 2026Spectral-Spatial Interpretation
  24. NeurIPS 2026Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales
  25. NeurIPS 2026Strategic Causal Policy Learning: Welfare, Safety, and Fairness Thresholds
  26. NeurIPS 2026The Pok\'emon Theorem and other Fairness Impossibility Results
  27. NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
  28. NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
  29. NeurIPS 2025Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
  30. NeurIPS 2025Coresets for Clustering Under Stochastic Noise
  31. NeurIPS 2025Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
  32. NeurIPS 2025Fair Continuous Resource Allocation with Equality of Impact
  33. NeurIPS 2025Fair Matroid Selection
  34. NeurIPS 2025Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
  35. NeurIPS 2025Fairness under Competition
  36. NeurIPS 2025Fairness-aware Anomaly Detection via Fair Projection
  37. NeurIPS 2025Fairness-aware Bayes Optimal Functional Classification
  38. NeurIPS 2025Fairness-Regularized Online Optimization with Switching Costs
  39. NeurIPS 2025FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
  40. NeurIPS 2025Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
  41. NeurIPS 2025Improved Algorithms for Fair Matroid Submodular Maximization
  42. NeurIPS 2025Individual Fairness In Strategic Classification
  43. NeurIPS 2025Individually Fair Diversity Maximization
  44. NeurIPS 2025Integral Imprecise Probability Metrics
  45. NeurIPS 2025Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning
  46. NeurIPS 2025MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform
  47. NeurIPS 2025On Group Sufficiency Under Label Bias
  48. NeurIPS 2025On Hierarchies of Fairness Notions in Cake Cutting: From Proportionality to Super Envy-Freeness
  49. NeurIPS 2025On Optimal Steering to Achieve Exact Fairness
  50. NeurIPS 2025On the VC dimension of deep group convolutional neural networks

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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