公平指标论文趋势 2023–2026

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。

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 368 篇，第 3 / 8 页

101. ICLR 2025FairDen: Fair Density-Based Clustering
102. ICLR 2025First-Person Fairness in Chatbots
103. ICLR 2025Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
104. ICLR 2025JudgeLM: Fine-tuned Large Language Models are Scalable Judges
105. ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
106. ICLR 2025Language Models are Advanced Anonymizers
107. ICLR 2025No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data
108. ICLR 2025No Preference Left Behind: Group Distributional Preference Optimization
109. ICLR 2025Regretful Decisions under Label Noise
110. ICLR 2025Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
111. ICLR 2025SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
112. ICLR 2025Severing Spurious Correlations with Data Pruning
113. ICLR 2025Towards counterfactual fairness through auxiliary variables
114. ICLR 2025Towards Marginal Fairness Sliced Wasserstein Barycenter
115. ICLR 2025UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation
116. ICML 2025A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
117. ICML 2025Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
118. ICML 2025An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
119. ICML 2025Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
120. ICML 2025Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
121. ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
122. ICML 2025Direct Motion Models for Assessing Generated Videos
123. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
124. ICML 2025Feature Importance Metrics in the Presence of Missing Data
125. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
126. ICML 2025Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
127. ICML 2025Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
128. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
129. ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
130. ICML 2025Learning With Multi-Group Guarantees For Clusterable Subpopulations
131. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
132. ICML 2025Optimal Algorithm for Max-Min Fair Bandit
133. ICML 2025Position: All Current Generative Fidelity and Diversity Metrics are Flawed
134. ICML 2025Position: The Categorization of Race in ML is a Flawed Premise
135. ICML 2025Preserving AUC Fairness in Learning with Noisy Protected Groups
136. ICML 2025Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
137. ICML 2025Settling the Maximin Share Fairness for Scheduling among Groups of Machines
138. ICML 2025The Disparate Benefits of Deep Ensembles
139. ICML 2025Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
140. NeurIPS 2025Analyzing Similarity Metrics for Data Selection for Language Model Pretraining
141. NeurIPS 2025Are Pixel-Wise Metrics Reliable for Computerized Tomography Reconstruction?
142. NeurIPS 2025Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
143. NeurIPS 2025Coresets for Clustering Under Stochastic Noise
144. NeurIPS 2025Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation
145. NeurIPS 2025Fair Continuous Resource Allocation with Equality of Impact
146. NeurIPS 2025Fair Matroid Selection
147. NeurIPS 2025Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity
148. NeurIPS 2025Fairness under Competition
149. NeurIPS 2025Fairness-aware Anomaly Detection via Fair Projection
150. NeurIPS 2025Fairness-aware Bayes Optimal Functional Classification

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。