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

22 papers, page 1 of 1

1. ICLR 2023Bias Propagation in Federated Learning
2. ICLR 2023Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
3. ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
4. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
5. ICLR 2023FaiREE: fair classification with finite-sample and distribution-free guarantee
6. ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
7. ICLR 2023Fairness and Accuracy under Domain Generalization
8. ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
9. ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
10. ICLR 2023Function-space regularized Rényi divergences
11. ICLR 2023Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
12. ICLR 2023Learning Sparse Group Models Through Boolean Relaxation
13. ICLR 2023Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
14. ICLR 2023MEDFAIR: Benchmarking Fairness for Medical Imaging
15. ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
16. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
17. ICLR 2023Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
18. ICLR 2023Riemannian Metric Learning via Optimal Transport
19. ICLR 2023Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
20. ICLR 2023ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
21. ICLR 2023Semi-supervised Community Detection via Structural Similarity Metrics
22. ICLR 2023Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors

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.