公平指标论文趋势 2023–2026

主要结论

• 公平指标论文从 2023 年的 78 篇增长到 2026 年的 78 篇，三年间扩大到约 1.0 倍。
• NeurIPS 是发公平指标论文最多的会议，2023–2026 年共 137 篇，占四个会议总量的 37%。
• 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 18 篇。
• 在「因果与公平」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的因果发现是 2.4 倍，公平指标是 1.0 倍。

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

• NeurIPS 2026Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair
• ICML 2026Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms
• ICLR 2026Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
• CVPR 2026EMMA Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse
• NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
• ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
• ICLR 2025Expected Sliced Transport Plans
• CVPR 2025Flexible Group Count Enables Hassle-Free Structured Pruning
• NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
• ICML 2024Centralized Selection with Preferences in the Presence of Biases
• ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
• CVPR 2024GARField: Group Anything with Radiance Fields
• NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
• ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
• ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
• CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
• NeurIPS 2026Auditing Cross-Lingual Fairness in Language Model Watermarking
• ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
• ICLR 2026Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry
• CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection

全部公平指标论文

共 28 篇，第 1 / 1 页

1. ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
2. ICML 2024Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
3. ICML 2024Benchmarking Deletion Metrics with the Principled Explanations
4. ICML 2024Centralized Selection with Preferences in the Presence of Biases
5. ICML 2024Differentially Private Worst-group Risk Minimization
6. ICML 2024Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
7. ICML 2024Disparate Impact on Group Accuracy of Linearization for Private Inference
8. ICML 2024Equilibrium of Data Markets with Externality
9. ICML 2024Evaluating Model Bias Requires Characterizing its Mistakes
10. ICML 2024Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
11. ICML 2024FairProof : Confidential and Certifiable Fairness for Neural Networks
12. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
13. ICML 2024Grokking Group Multiplication with Cosets
14. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
15. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
16. ICML 2024Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
17. ICML 2024Individual Fairness in Graph Decomposition
18. ICML 2024Monotone Individual Fairness
19. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
20. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
21. ICML 2024PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
22. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
23. ICML 2024Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation
24. ICML 2024Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
25. ICML 2024Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
26. ICML 2024Stability and Multigroup Fairness in Ranking with Uncertain Predictions
27. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
28. ICML 2024Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts

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。