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 5 / 8 页

  1. ICLR 2024LCOT: Linear Circular Optimal Transport
  2. ICLR 2024Learning to Reject Meets Long-tail Learning
  3. ICLR 2024Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
  4. ICLR 2024Near-Optimal Solutions of Constrained Learning Problems
  5. ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
  6. ICLR 2024Perceptual Scales Predicted by Fisher Information Metrics
  7. ICLR 2024Post-hoc bias scoring is optimal for fair classification
  8. ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
  9. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
  10. ICLR 2024Time Fairness in Online Knapsack Problems
  11. ICLR 2024Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
  12. ICLR 2024Towards Poisoning Fair Representations
  13. ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
  14. ICML 2024Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
  15. ICML 2024Benchmarking Deletion Metrics with the Principled Explanations
  16. ICML 2024Centralized Selection with Preferences in the Presence of Biases
  17. ICML 2024Differentially Private Worst-group Risk Minimization
  18. ICML 2024Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
  19. ICML 2024Disparate Impact on Group Accuracy of Linearization for Private Inference
  20. ICML 2024Equilibrium of Data Markets with Externality
  21. ICML 2024Evaluating Model Bias Requires Characterizing its Mistakes
  22. ICML 2024Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
  23. ICML 2024FairProof : Confidential and Certifiable Fairness for Neural Networks
  24. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
  25. ICML 2024Grokking Group Multiplication with Cosets
  26. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
  27. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
  28. ICML 2024Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
  29. ICML 2024Individual Fairness in Graph Decomposition
  30. ICML 2024Monotone Individual Fairness
  31. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
  32. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
  33. ICML 2024PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
  34. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
  35. ICML 2024Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation
  36. ICML 2024Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
  37. ICML 2024Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
  38. ICML 2024Stability and Multigroup Fairness in Ranking with Uncertain Predictions
  39. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
  40. ICML 2024Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
  41. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
  42. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
  43. NeurIPS 2024Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently
  44. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
  45. NeurIPS 2024CultureLLM: Incorporating Cultural Differences into Large Language Models
  46. NeurIPS 2024Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
  47. NeurIPS 2024Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
  48. NeurIPS 2024Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
  49. NeurIPS 2024Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
  50. NeurIPS 2024Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium

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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"}

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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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