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 4 / 8 页

  1. ICML 2025Learning to Route LLMs with Confidence Tokens
  2. ICML 2025Leveraging Predictive Equivalence in Decision Trees
  3. ICML 2025LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
  4. ICML 2025Mind the Gap: A Practical Attack on GGUF Quantization
  5. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
  6. ICML 2025On the Alignment between Fairness and Accuracy: from the Perspective of Adversarial Robustness
  7. ICML 2025On the Impact of Performative Risk Minimization for Binary Random Variables
  8. ICML 2025Optimal Fair Learning Robust to Adversarial Distribution Shift
  9. ICML 2025Policy Design for Two-sided Platforms with Participation Dynamics
  10. ICML 2025Position: LLM Social Simulations Are a Promising Research Method
  11. ICML 2025Position: The Categorization of Race in ML is a Flawed Premise
  12. ICML 2025Prediction via Shapley Value Regression
  13. ICML 2025Preserving AUC Fairness in Learning with Noisy Protected Groups
  14. ICML 2025Relative Error Fair Clustering in the Weak-Strong Oracle Model
  15. ICML 2025Representative Ranking for Deliberation in the Public Sphere
  16. ICML 2025Selective Preference Aggregation
  17. ICML 2025Settling the Maximin Share Fairness for Scheduling among Groups of Machines
  18. ICML 2025Statistical Collusion by Collectives on Learning Platforms
  19. ICML 2025Subgroups Matter for Robust Bias Mitigation
  20. ICML 2025Tensor Product Neural Networks for Functional ANOVA Model
  21. ICML 2025The Disparate Benefits of Deep Ensembles
  22. ICML 2025The Elicitation Game: Evaluating Capability Elicitation Techniques
  23. ICML 2025The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)
  24. ICML 2025The Value of Prediction in Identifying the Worst-Off
  25. ICML 2025TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
  26. ICML 2025Towards Attributions of Input Variables in a Coalition
  27. ICML 2025Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
  28. ICML 2025Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
  29. ICML 2025What makes an Ensemble (Un) Interpretable?
  30. ICML 2025X-Hacking: The Threat of Misguided AutoML
  31. ICML 2025You Get What You Give: Reciprocally Fair Federated Learning
  32. NeurIPS 2025A Unified Framework for Fair Graph Generation: Theoretical Guarantees and Empirical Advances
  33. NeurIPS 2025Additive Models Explained: A Computational Complexity Approach
  34. NeurIPS 2025Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
  35. NeurIPS 2025Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers
  36. NeurIPS 2025Causally Reliable Concept Bottleneck Models
  37. NeurIPS 2025Correcting misinterpretations of additive models
  38. NeurIPS 2025Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing
  39. NeurIPS 2025Discovering Opinion Intervals from Conflicts in Signed Graphs
  40. NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
  41. NeurIPS 2025Distributive Fairness in Large Language Models: Evaluating Alignment with Human Values
  42. NeurIPS 2025Does Representation Guarantee Welfare?
  43. NeurIPS 2025DPA: A one-stop metric to measure bias amplification in classification datasets
  44. NeurIPS 2025Efficient Fairness-Performance Pareto Front Computation
  45. NeurIPS 2025Fair Continuous Resource Allocation with Equality of Impact
  46. NeurIPS 2025Fair Deepfake Detectors Can Generalize
  47. NeurIPS 2025Fair Matroid Selection
  48. NeurIPS 2025Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
  49. NeurIPS 2025FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
  50. NeurIPS 2025Fairness under Competition

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"}

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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