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

24 papers, page 1 of 1

1. ICML 2025A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
2. ICML 2025Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
3. ICML 2025An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
4. ICML 2025Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
5. ICML 2025Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
6. ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
7. ICML 2025Direct Motion Models for Assessing Generated Videos
8. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
9. ICML 2025Feature Importance Metrics in the Presence of Missing Data
10. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
11. ICML 2025Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
12. ICML 2025Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
13. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
14. ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
15. ICML 2025Learning With Multi-Group Guarantees For Clusterable Subpopulations
16. ICML 2025Multiaccuracy and Multicalibration via Proxy Groups
17. ICML 2025Optimal Algorithm for Max-Min Fair Bandit
18. ICML 2025Position: All Current Generative Fidelity and Diversity Metrics are Flawed
19. ICML 2025Position: The Categorization of Race in ML is a Flawed Premise
20. ICML 2025Preserving AUC Fairness in Learning with Noisy Protected Groups
21. ICML 2025Principled Algorithms for Optimizing Generalized Metrics in Binary Classification
22. ICML 2025Settling the Maximin Share Fairness for Scheduling among Groups of Machines
23. ICML 2025The Disparate Benefits of Deep Ensembles
24. ICML 2025Two Tickets are Better than One: Fair and Accurate Hiring Under Strategic LLM Manipulations

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.