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 94 篇，第 1 / 2 页

1. CVPR 2025AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
2. CVPR 2025AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
3. CVPR 2025Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
4. CVPR 2025FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
5. CVPR 2025Flexible Group Count Enables Hassle-Free Structured Pruning
6. CVPR 2025ID-Patch: Robust ID Association for Group Photo Personalization
7. CVPR 2025Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
8. ICLR 2025A Generic Framework for Conformal Fairness
9. ICLR 2025A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
10. ICLR 2025An Effective Theory of Bias Amplification
11. ICLR 2025Balancing Bias in Two-sided Markets for Fair Stable Matchings
12. ICLR 2025Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
13. ICLR 2025CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
14. ICLR 2025Collapsed Language Models Promote Fairness
15. ICLR 2025Comparing noisy neural population dynamics using optimal transport distances
16. ICLR 2025Competitive Fair Scheduling with Predictions
17. ICLR 2025DarkBench: Benchmarking Dark Patterns in Large Language Models
18. ICLR 2025Do as We Do, Not as You Think: the Conformity of Large Language Models
19. ICLR 2025Enhancing Robust Fairness via Confusional Spectral Regularization
20. ICLR 2025Expected Sliced Transport Plans
21. ICLR 2025Exploring Local Memorization in Diffusion Models via Bright Ending Attention
22. ICLR 2025Fair Submodular Cover
23. ICLR 2025FairDen: Fair Density-Based Clustering
24. ICLR 2025First-Person Fairness in Chatbots
25. ICLR 2025Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
26. ICLR 2025JudgeLM: Fine-tuned Large Language Models are Scalable Judges
27. ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
28. ICLR 2025Language Models are Advanced Anonymizers
29. ICLR 2025No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data
30. ICLR 2025No Preference Left Behind: Group Distributional Preference Optimization
31. ICLR 2025Regretful Decisions under Label Noise
32. ICLR 2025Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
33. ICLR 2025SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
34. ICLR 2025Severing Spurious Correlations with Data Pruning
35. ICLR 2025Towards counterfactual fairness through auxiliary variables
36. ICLR 2025Towards Marginal Fairness Sliced Wasserstein Barycenter
37. ICLR 2025UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation
38. ICML 2025A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
39. ICML 2025Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
40. ICML 2025An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
41. ICML 2025Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
42. ICML 2025Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
43. ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
44. ICML 2025Direct Motion Models for Assessing Generated Videos
45. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
46. ICML 2025Feature Importance Metrics in the Presence of Missing Data
47. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
48. ICML 2025Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
49. ICML 2025Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
50. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs

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。