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 17 篇，第 1 / 1 页

1. ICML 2026Beyond Procedure: Substantive Fairness in Conformal Prediction
2. ICML 2026Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms
3. ICML 2026Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning
4. ICML 2026Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
5. ICML 2026Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
6. ICML 2026Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off
7. ICML 2026Fair Dataset Distillation via Cross-Group Barycenter Alignment
8. ICML 2026FairMerging: Rethinking Model Merging through the Lens of Fairness
9. ICML 2026Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking
10. ICML 2026FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
11. ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
12. ICML 2026From Individual Calibration to Reliable Classifiers: ALD Parameterization with mPAIC Guarantees
13. ICML 2026Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning
14. ICML 2026MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
15. ICML 2026Optimal Transport under Group Fairness Constraints
16. ICML 2026Sequential Group Composition: A Window into the Mechanics of Deep Learning
17. ICML 2026The Fairness Hierarchy: A viewpoint from causal inference

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。