Fairness Metrics papers, 2023–2026

Key findings

• Fairness Metrics went from 78 papers in 2023 to 78 in 2026, roughly 1.0x in three years.
• NeurIPS publishes the most Fairness Metrics work: 137 papers from 2023 to 2026, 37% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 3 in 2023 to 18 in 2026.
• Among the 5 topics under Causal and Fairness, it ranks #3 by 2026 paper count; the fastest grower in the group, Causal Discovery, is up 2.4x versus 1.0x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Fairness Metrics papers

368 papers, page 3 of 8

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

FAQ

How many Fairness Metrics papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

368 in total: 78 in 2023, 118 in 2024, 94 in 2025, 78 in 2026.

How many Fairness Metrics papers are at NeurIPS 2026?

NeurIPS 2026 has 26 Fairness Metrics papers, versus 33 the year before.

How many Fairness Metrics papers are at ICLR 2026?

ICLR 2026 has 27 Fairness Metrics papers, versus 30 the year before.

How many Fairness Metrics papers are at ICML 2026?

ICML 2026 has 17 Fairness Metrics papers, versus 24 the year before.

How many Fairness Metrics papers are at CVPR 2026?

CVPR 2026 has 8 Fairness Metrics papers, versus 7 the year before.

Which conference publishes the most Fairness Metrics papers?

NeurIPS, with 137 papers from 2023 to 2026.