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

137 papers, page 3 of 3

101. NeurIPS 2024The Fairness-Quality Tradeoff in Clustering
102. NeurIPS 2024The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
103. NeurIPS 2024Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
104. NeurIPS 2024Towards Explainable Evaluation Metrics for Machine Translation
105. NeurIPS 2024Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
106. NeurIPS 2024Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
107. NeurIPS 2024User-item fairness tradeoffs in recommendations
108. NeurIPS 2024Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness
109. NeurIPS 2024When is Multicalibration Post-Processing Necessary?
110. NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
111. NeurIPS 2023Adapting Fairness Interventions to Missing Values
112. NeurIPS 2023Auditing Fairness by Betting
113. NeurIPS 2023Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
114. NeurIPS 2023Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
115. NeurIPS 2023Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
116. NeurIPS 2023Clifford Group Equivariant Neural Networks
117. NeurIPS 2023Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions
118. NeurIPS 2023Constant Approximation for Individual Preference Stable Clustering
119. NeurIPS 2023Cookie Consent Has Disparate Impact on Estimation Accuracy
120. NeurIPS 2023Core-sets for Fair and Diverse Data Summarization
121. NeurIPS 2023Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
122. NeurIPS 2023Doubly Constrained Fair Clustering
123. NeurIPS 2023Fair Allocation of Indivisible Chores: Beyond Additive Costs
124. NeurIPS 2023Fair Canonical Correlation Analysis
125. NeurIPS 2023Fair Graph Distillation
126. NeurIPS 2023Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
127. NeurIPS 2023Group Fairness in Peer Review
128. NeurIPS 2023Group Robust Classification Without Any Group Information
129. NeurIPS 2023Individual Arbitrariness and Group Fairness
130. NeurIPS 2023Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
131. NeurIPS 2023Participatory Personalization in Classification
132. NeurIPS 2023Proximity-Informed Calibration for Deep Neural Networks
133. NeurIPS 2023Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations
134. NeurIPS 2023Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
135. NeurIPS 2023Scalable Fair Influence Maximization
136. NeurIPS 2023Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
137. NeurIPS 2023Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning

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.