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 62 篇，第 2 / 2 页

51. NeurIPS 2025Simple and Effective Specialized Representations for Fair Classifiers
52. NeurIPS 2025Size-adaptive Hypothesis Testing for Fairness
53. NeurIPS 2025Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
54. NeurIPS 2025Strategic Classification with Non-Linear Classifiers
55. NeurIPS 2025Strategic Costs of Perceived Bias in Fair Selection
56. NeurIPS 2025The Boundaries of Fair AI in Medical Image Prognosis: A Causal Perspective
57. NeurIPS 2025The Price of Opportunity Fairness in Matroid Allocation Problems
58. NeurIPS 2025The Rashomon Set Has It All: Analyzing Trustworthiness of Trees under Multiplicity
59. NeurIPS 2025Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
60. NeurIPS 2025Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
61. NeurIPS 2025Unifying Proportional Fairness in Centroid and Non-Centroid Clustering
62. NeurIPS 2025Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization

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。