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

78 papers, page 1 of 2

1. CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
2. CVPR 2023Music-Driven Group Choreography
3. ICLR 2023Bias Propagation in Federated Learning
4. ICLR 2023Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts
5. ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
6. ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
7. ICLR 2023FaiREE: fair classification with finite-sample and distribution-free guarantee
8. ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
9. ICLR 2023Fairness and Accuracy under Domain Generalization
10. ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
11. ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
12. ICLR 2023Function-space regularized Rényi divergences
13. ICLR 2023Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
14. ICLR 2023Learning Sparse Group Models Through Boolean Relaxation
15. ICLR 2023Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds
16. ICLR 2023MEDFAIR: Benchmarking Fairness for Medical Imaging
17. ICLR 2023Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics
18. ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
19. ICLR 2023Representational Dissimilarity Metric Spaces for Stochastic Neural Networks
20. ICLR 2023Riemannian Metric Learning via Optimal Transport
21. ICLR 2023Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
22. ICLR 2023ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
23. ICLR 2023Semi-supervised Community Detection via Structural Similarity Metrics
24. ICLR 2023Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors
25. ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
26. ICML 2023An Effective Meaningful Way to Evaluate Survival Models
27. ICML 2023Brauer's Group Equivariant Neural Networks
28. ICML 2023Change is Hard: A Closer Look at Subpopulation Shift
29. ICML 2023Differential Privacy has Bounded Impact on Fairness in Classification
30. ICML 2023Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
31. ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
32. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
33. ICML 2023Fairness in Matching under Uncertainty
34. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
35. ICML 2023Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
36. ICML 2023How Jellyfish Characterise Alternating Group Equivariant Neural Networks
37. ICML 2023Improving Fair Training under Correlation Shifts
38. ICML 2023Learning Antidote Data to Individual Unfairness
39. ICML 2023Matrix Estimation for Individual Fairness
40. ICML 2023Neural FIM for learning Fisher information metrics from point cloud data
41. ICML 2023Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
42. ICML 2023New metrics and search algorithms for weighted causal DAGs
43. ICML 2023On the Within-Group Fairness of Screening Classifiers
44. ICML 2023Quantifying the Variability Collapse of Neural Networks
45. ICML 2023Sample Complexity of Probability Divergences under Group Symmetry
46. ICML 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
47. ICML 2023Superhuman Fairness
48. ICML 2023The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
49. ICML 2023Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
50. ICML 2023Why does Throwing Away Data Improve Worst-Group Error?

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.