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 79 篇，第 2 / 2 页

51. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach
52. NeurIPS 2024Fairness-Aware Estimation of Graphical Models
53. NeurIPS 2024Fairness-Aware Meta-Learning via Nash Bargaining
54. NeurIPS 2024FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
55. NeurIPS 2024FairWire: Fair Graph Generation
56. NeurIPS 2024Interpolating Item and User Fairness in Multi-Sided Recommendations
57. NeurIPS 2024Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
58. NeurIPS 2024Mind the Graph When Balancing Data for Fairness or Robustness
59. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
60. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
61. NeurIPS 2024Multi-Group Proportional Representation in Retrieval
62. NeurIPS 2024On Socially Fair Low-Rank Approximation and Column Subset Selection
63. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
64. NeurIPS 2024Perceptual Fairness in Image Restoration
65. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective
66. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
67. NeurIPS 2024Regression under demographic parity constraints via unlabeled post-processing
68. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
69. NeurIPS 2024Statistical Inference for Fairness Auditing
70. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
71. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
72. NeurIPS 2024The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
73. NeurIPS 2024Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
74. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
75. NeurIPS 2024User-item fairness tradeoffs in recommendations
76. NeurIPS 2024Using Noise to Infer Aspects of Simplicity Without Learning
77. NeurIPS 2024Visual Data Diagnosis and Debiasing with Concept Graphs
78. NeurIPS 2024Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
79. NeurIPS 2024When is Multicalibration Post-Processing Necessary?

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。