社会层面 · fairness论文趋势 2023–2026

AI 社会议题：fairness

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 358 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

社会层面 · fairness论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
20231987236
202456911379
2025628611132
2026434604111

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

全部社会层面 · fairness论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 358 篇，第 7 / 8 页

  1. NeurIPS 2024Mind the Graph When Balancing Data for Fairness or Robustness
  2. NeurIPS 2024Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks
  3. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
  4. NeurIPS 2024Multi-Group Proportional Representation in Retrieval
  5. NeurIPS 2024On Socially Fair Low-Rank Approximation and Column Subset Selection
  6. NeurIPS 2024Parameterized Approximation Schemes for Fair-Range Clustering
  7. NeurIPS 2024Perceptual Fairness in Image Restoration
  8. NeurIPS 2024Proportional Fairness in Clustering: A Social Choice Perspective
  9. NeurIPS 2024Proportional Fairness in Non-Centroid Clustering
  10. NeurIPS 2024Regression under demographic parity constraints via unlabeled post-processing
  11. NeurIPS 2024Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact
  12. NeurIPS 2024Statistical Inference for Fairness Auditing
  13. NeurIPS 2024SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation
  14. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
  15. NeurIPS 2024The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
  16. NeurIPS 2024Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
  17. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
  18. NeurIPS 2024User-item fairness tradeoffs in recommendations
  19. NeurIPS 2024Using Noise to Infer Aspects of Simplicity Without Learning
  20. NeurIPS 2024Visual Data Diagnosis and Debiasing with Concept Graphs
  21. NeurIPS 2024Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
  22. NeurIPS 2024When is Multicalibration Post-Processing Necessary?
  23. CVPR 2023FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
  24. CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
  25. ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
  26. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
  27. ICLR 2023Expressive Monotonic Neural Networks
  28. ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
  29. ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
  30. ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
  31. ICLR 2023Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
  32. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
  33. ICML 2023A Closer Look at the Intervention Procedure of Concept Bottleneck Models
  34. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
  35. ICML 2023Fairness in Matching under Uncertainty
  36. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
  37. ICML 2023Matrix Estimation for Individual Fairness
  38. ICML 2023On the Within-Group Fairness of Screening Classifiers
  39. ICML 2023Superhuman Fairness
  40. NeurIPS 2023[Re] CrossWalk: Fairness-enhanced Node Representation Learning
  41. NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
  42. NeurIPS 2023[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”
  43. NeurIPS 2023Adapting Fairness Interventions to Missing Values
  44. NeurIPS 2023Auditing Fairness by Betting
  45. NeurIPS 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
  46. NeurIPS 2023Doubly Constrained Fair Clustering
  47. NeurIPS 2023Fair Canonical Correlation Analysis
  48. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
  49. NeurIPS 2023Fairness Aware Counterfactuals for Subgroups
  50. NeurIPS 2023Group Fairness in Peer Review

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接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查社会层面 · fairness在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "social-fairness"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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