社会层面 · fairness论文趋势 2023–2026

主要结论

• 社会层面 · fairness论文从 2023 年的 36 篇增长到 2026 年的 111 篇，三年间扩大到约 3.1 倍。
• NeurIPS 是发社会层面 · fairness论文最多的会议，2023–2026 年共 180 篇，占四个会议总量的 50%。
• 交叉方向里涨得最快的是社会层面 · safety：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 56 篇。
• 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的社会层面 · safety是 93 倍，社会层面 · fairness是 3.1 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 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
• ICML 2026A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
• ICLR 2026Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
• CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
• NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
• ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
• ICLR 2025Prompting Fairness: Integrating Causality to Debias Large Language Models
• CVPR 2025Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
• NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
• ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
• ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
• CVPR 2024Preserving Fairness Generalization in Deepfake Detection
• NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
• ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
• ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
• CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
• NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
• ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
• ICLR 2026Bi-Criteria Metric Distortion
• CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection

全部社会层面 · fairness论文

共 139 篇，第 3 / 3 页

101. ICML 2025Position: The Categorization of Race in ML is a Flawed Premise
102. ICML 2025Prediction via Shapley Value Regression
103. ICML 2025Preserving AUC Fairness in Learning with Noisy Protected Groups
104. ICML 2025Relative Error Fair Clustering in the Weak-Strong Oracle Model
105. ICML 2025Representative Ranking for Deliberation in the Public Sphere
106. ICML 2025Selective Preference Aggregation
107. ICML 2025Settling the Maximin Share Fairness for Scheduling among Groups of Machines
108. ICML 2025Statistical Collusion by Collectives on Learning Platforms
109. ICML 2025Subgroups Matter for Robust Bias Mitigation
110. ICML 2025Tensor Product Neural Networks for Functional ANOVA Model
111. ICML 2025The Disparate Benefits of Deep Ensembles
112. ICML 2025The Elicitation Game: Evaluating Capability Elicitation Techniques
113. ICML 2025The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)
114. ICML 2025The Value of Prediction in Identifying the Worst-Off
115. ICML 2025TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
116. ICML 2025Towards Attributions of Input Variables in a Coalition
117. ICML 2025Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations
118. ICML 2025Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
119. ICML 2025What makes an Ensemble (Un) Interpretable?
120. ICML 2025X-Hacking: The Threat of Misguided AutoML
121. ICML 2025You Get What You Give: Reciprocally Fair Federated Learning
122. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
123. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
124. ICML 2024Individual Fairness in Graph Decomposition
125. ICML 2024Monotone Individual Fairness
126. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
127. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
128. ICML 2024Optimally Improving Cooperative Learning in a Social Setting
129. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
130. ICML 2024Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
131. ICML 2024Stability and Multigroup Fairness in Ranking with Uncertain Predictions
132. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
133. ICML 2023A Closer Look at the Intervention Procedure of Concept Bottleneck Models
134. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
135. ICML 2023Fairness in Matching under Uncertainty
136. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
137. ICML 2023Matrix Estimation for Individual Fairness
138. ICML 2023On the Within-Group Fairness of Screening Classifiers
139. ICML 2023Superhuman Fairness

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。