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 6 / 8 页

  1. ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
  2. ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
  3. ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
  4. ICLR 2024Training Socially Aligned Language Models on Simulated Social Interactions
  5. ICLR 2024Unprocessing Seven Years of Algorithmic Fairness
  6. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
  7. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
  8. ICML 2024Individual Fairness in Graph Decomposition
  9. ICML 2024Monotone Individual Fairness
  10. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
  11. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
  12. ICML 2024Optimally Improving Cooperative Learning in a Social Setting
  13. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
  14. ICML 2024Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
  15. ICML 2024Stability and Multigroup Fairness in Ranking with Uncertain Predictions
  16. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
  17. NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
  18. NeurIPS 2024A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
  19. NeurIPS 2024A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective
  20. NeurIPS 2024A Taxonomy of Challenges to Curating Fair Datasets
  21. NeurIPS 2024A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks
  22. NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
  23. NeurIPS 2024Achievable Fairness on Your Data With Utility Guarantees
  24. NeurIPS 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
  25. NeurIPS 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddings
  26. NeurIPS 2024Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
  27. NeurIPS 2024Conformal Classification with Equalized Coverage for Adaptively Selected Groups
  28. NeurIPS 2024Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
  29. NeurIPS 2024Counterfactual Fairness by Combining Factual and Counterfactual Predictions
  30. NeurIPS 2024CultureLLM: Incorporating Cultural Differences into Large Language Models
  31. NeurIPS 2024CulturePark: Boosting Cross-cultural Understanding in Large Language Models
  32. NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
  33. NeurIPS 2024DALD: Improving Logits-based Detector without Logits from Black-box LLMs
  34. NeurIPS 2024DeNetDM: Debiasing by Network Depth Modulation
  35. NeurIPS 2024Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
  36. NeurIPS 2024Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections
  37. NeurIPS 2024Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty
  38. NeurIPS 2024Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium
  39. NeurIPS 2024Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior
  40. NeurIPS 2024Fair Kernel K-Means: from Single Kernel to Multiple Kernel
  41. NeurIPS 2024Fair Secretaries with Unfair Predictions
  42. NeurIPS 2024Fair Wasserstein Coresets
  43. NeurIPS 2024Fairness in Social Influence Maximization via Optimal Transport
  44. NeurIPS 2024Fairness without Harm: An Influence-Guided Active Sampling Approach
  45. NeurIPS 2024Fairness-Aware Estimation of Graphical Models
  46. NeurIPS 2024Fairness-Aware Meta-Learning via Nash Bargaining
  47. NeurIPS 2024FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation
  48. NeurIPS 2024FairWire: Fair Graph Generation
  49. NeurIPS 2024Interpolating Item and User Fairness in Multi-Sided Recommendations
  50. NeurIPS 2024Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making

在 Claude、Cursor 里直接问这个趋势

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"}

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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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