社会层面 · fairness论文趋势 2023–2026

主要结论

• 社会层面 · fairness论文从 2023 年的 36 篇增长到 2026 年的 111 篇，三年间扩大到约 3.1 倍。
• NeurIPS 是发社会层面 · fairness论文最多的会议，2023–2026 年共 180 篇，占四个会议总量的 50%。
• 交叉方向里涨得最快的是社会层面 · safety：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 56 篇。
• 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的社会层面 · safety是 93 倍，社会层面 · fairness是 3.1 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 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
• ICML 2026A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
• ICLR 2026Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
• CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
• NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
• ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
• ICLR 2025Prompting Fairness: Integrating Causality to Debias Large Language Models
• CVPR 2025Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
• NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
• ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
• ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
• CVPR 2024Preserving Fairness Generalization in Deepfake Detection
• NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
• ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
• ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
• CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
• NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
• ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
• ICLR 2026Bi-Criteria Metric Distortion
• CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection

全部社会层面 · fairness论文

共 36 篇，第 1 / 1 页

1. CVPR 2023FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
2. CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
3. ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
4. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
5. ICLR 2023Expressive Monotonic Neural Networks
6. ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
7. ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
8. ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
9. ICLR 2023Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
10. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
11. ICML 2023A Closer Look at the Intervention Procedure of Concept Bottleneck Models
12. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
13. ICML 2023Fairness in Matching under Uncertainty
14. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
15. ICML 2023Matrix Estimation for Individual Fairness
16. ICML 2023On the Within-Group Fairness of Screening Classifiers
17. ICML 2023Superhuman Fairness
18. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
19. NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
20. NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
21. NeurIPS 2023Adapting Fairness Interventions to Missing Values
22. NeurIPS 2023Auditing Fairness by Betting
23. NeurIPS 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
24. NeurIPS 2023Doubly Constrained Fair Clustering
25. NeurIPS 2023Fair Canonical Correlation Analysis
26. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
27. NeurIPS 2023Fairness Aware Counterfactuals for Subgroups
28. NeurIPS 2023Group Fairness in Peer Review
29. NeurIPS 2023Long-Term Fairness with Unknown Dynamics
30. NeurIPS 2023Nash Regret Guarantees for Linear Bandits
31. NeurIPS 2023Reproducibility study of the Fairness-enhanced Node Representation Learning
32. NeurIPS 2023Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
33. NeurIPS 2023Scalable Fair Influence Maximization
34. NeurIPS 2023Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
35. NeurIPS 2023Strategyproof Voting under Correlated Beliefs
36. NeurIPS 2023Uncovering and Quantifying Social Biases in Code Generation

常见问题

2023–2026 年四大会议一共有多少篇社会层面 · fairness论文？

共 358 篇，按年份分别是 2023 年 36 篇、2024 年 79 篇、2025 年 132 篇、2026 年 111 篇。

NeurIPS 2026 有多少篇社会层面 · fairness论文？

NeurIPS 2026 有 43 篇社会层面 · fairness论文，上一届是 62 篇。

ICLR 2026 有多少篇社会层面 · fairness论文？

ICLR 2026 有 4 篇社会层面 · fairness论文，上一届是 8 篇。

ICML 2026 有多少篇社会层面 · fairness论文？

ICML 2026 有 60 篇社会层面 · fairness论文，上一届是 61 篇。

CVPR 2026 有多少篇社会层面 · fairness论文？

CVPR 2026 有 4 篇社会层面 · fairness论文，上一届是 1 篇。

哪个会议的社会层面 · fairness论文最多？

NeurIPS，2023–2026 年共 180 篇。