公平指标论文趋势 2023–2026
群体/个体公平
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 368 篇被归入该主题的论文。
主要结论
- 公平指标论文从 2023 年的 78 篇增长到 2026 年的 78 篇，三年间扩大到约 1.0 倍。
- NeurIPS 是发公平指标论文最多的会议，2023–2026 年共 137 篇，占四个会议总量的 37%。
- 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 18 篇。
- 在「因果与公平」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的因果发现是 2.4 倍，公平指标是 1.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 28 | 22 | 26 | 2 | 78 |
| 2024 | 50 | 30 | 28 | 10 | 118 |
| 2025 | 33 | 30 | 24 | 7 | 94 |
| 2026 | 26 | 27 | 17 | 8 | 78 |
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 2026Adversarial Group Fairness in Contextual Bandits: When Robust is Not Fair
- ICML 2026Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms
- ICLR 2026Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
- CVPR 2026EMMA Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse
- NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
- ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
- ICLR 2025Expected Sliced Transport Plans
- CVPR 2025Flexible Group Count Enables Hassle-Free Structured Pruning
- NeurIPS 2024ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods
- ICML 2024Centralized Selection with Preferences in the Presence of Biases
- ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
- CVPR 2024GARField: Group Anything with Radiance Fields
- NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
- ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
- ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
- CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
- NeurIPS 2026Auditing Cross-Lingual Fairness in Language Model Watermarking
- ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
- ICLR 2026Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry
- CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection
全部公平指标论文
共 26 篇，第 1 / 1 页
- ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
- ICML 2023An Effective Meaningful Way to Evaluate Survival Models
- ICML 2023Brauer's Group Equivariant Neural Networks
- ICML 2023Change is Hard: A Closer Look at Subpopulation Shift
- ICML 2023Differential Privacy has Bounded Impact on Fairness in Classification
- ICML 2023Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
- ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
- ICML 2023FAIRER: Fairness as Decision Rationale Alignment
- ICML 2023Fairness in Matching under Uncertainty
- ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
- ICML 2023Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
- ICML 2023How Jellyfish Characterise Alternating Group Equivariant Neural Networks
- ICML 2023Improving Fair Training under Correlation Shifts
- ICML 2023Learning Antidote Data to Individual Unfairness
- ICML 2023Matrix Estimation for Individual Fairness
- ICML 2023Neural FIM for learning Fisher information metrics from point cloud data
- ICML 2023Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
- ICML 2023New metrics and search algorithms for weighted causal DAGs
- ICML 2023On the Within-Group Fairness of Screening Classifiers
- ICML 2023Quantifying the Variability Collapse of Neural Networks
- ICML 2023Sample Complexity of Probability Divergences under Group Symmetry
- ICML 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
- ICML 2023Superhuman Fairness
- ICML 2023The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
- ICML 2023Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
- ICML 2023Why does Throwing Away Data Improve Worst-Group Error?
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 查公平指标在 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": "fairness-metrics"}
常见问题
- 2023–2026 年四大会议一共有多少篇公平指标论文？
- 共 368 篇，按年份分别是 2023 年 78 篇、2024 年 118 篇、2025 年 94 篇、2026 年 78 篇。
- NeurIPS 2026 有多少篇公平指标论文？
- NeurIPS 2026 有 26 篇公平指标论文，上一届是 33 篇。
- ICLR 2026 有多少篇公平指标论文？
- ICLR 2026 有 27 篇公平指标论文，上一届是 30 篇。
- ICML 2026 有多少篇公平指标论文？
- ICML 2026 有 17 篇公平指标论文，上一届是 24 篇。
- CVPR 2026 有多少篇公平指标论文？
- CVPR 2026 有 8 篇公平指标论文，上一届是 7 篇。
- 哪个会议的公平指标论文最多？
- NeurIPS，2023–2026 年共 137 篇。