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 95 篇，第 1 / 2 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
18. ICML 2025A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
19. ICML 2025Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
20. ICML 2025An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
21. ICML 2025Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
22. ICML 2025Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
23. ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
24. ICML 2025Direct Motion Models for Assessing Generated Videos
25. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
26. ICML 2025Feature Importance Metrics in the Presence of Missing Data
27. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
28. ICML 2025Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
29. ICML 2025Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
30. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
31. ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
32. ICML 2025Learning With Multi-Group Guarantees For Clusterable Subpopulations
33. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
34. ICML 2025Optimal Algorithm for Max-Min Fair Bandit
35. ICML 2025Position: All Current Generative Fidelity and Diversity Metrics are Flawed
36. ICML 2025Position: The Categorization of Race in ML is a Flawed Premise
37. ICML 2025Preserving AUC Fairness in Learning with Noisy Protected Groups
38. ICML 2025Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
39. ICML 2025Settling the Maximin Share Fairness for Scheduling among Groups of Machines
40. ICML 2025The Disparate Benefits of Deep Ensembles
41. ICML 2025Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
42. ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
43. ICML 2024Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
44. ICML 2024Benchmarking Deletion Metrics with the Principled Explanations
45. ICML 2024Centralized Selection with Preferences in the Presence of Biases
46. ICML 2024Differentially Private Worst-group Risk Minimization
47. ICML 2024Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
48. ICML 2024Disparate Impact on Group Accuracy of Linearization for Private Inference
49. ICML 2024Equilibrium of Data Markets with Externality
50. ICML 2024Evaluating Model Bias Requires Characterizing its Mistakes

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。