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 30 篇，第 1 / 1 页

1. ICLR 2024Adversarial Attacks on Fairness of Graph Neural Networks
2. ICLR 2024Aligning Relational Learning with Lipschitz Fairness
3. ICLR 2024Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
4. ICLR 2024Balancing Act: Constraining Disparate Impact in Sparse Models
5. ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
6. ICLR 2024Consistent algorithms for multi-label classification with macro-at-$k$ metrics
7. ICLR 2024Debiasing Attention Mechanism in Transformer without Demographics
8. ICLR 2024Deceptive Fairness Attacks on Graphs via Meta Learning
9. ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
10. ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
11. ICLR 2024Estimating Shape Distances on Neural Representations with Limited Samples
12. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
13. ICLR 2024Fair Classifiers that Abstain without Harm
14. ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
15. ICLR 2024FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
16. ICLR 2024FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
17. ICLR 2024FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
18. ICLR 2024Language Model Detectors Are Easily Optimized Against
19. ICLR 2024LCOT: Linear Circular Optimal Transport
20. ICLR 2024Learning to Reject Meets Long-tail Learning
21. ICLR 2024Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
22. ICLR 2024Near-Optimal Solutions of Constrained Learning Problems
23. ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
24. ICLR 2024Perceptual Scales Predicted by Fisher Information Metrics
25. ICLR 2024Post-hoc bias scoring is optimal for fair classification
26. ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
27. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
28. ICLR 2024Time Fairness in Online Knapsack Problems
29. ICLR 2024Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
30. ICLR 2024Towards Poisoning Fair Representations

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。