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

94 papers, page 1 of 2

1. CVPR 2025AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
2. CVPR 2025AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
3. CVPR 2025Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
4. CVPR 2025FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
5. CVPR 2025Flexible Group Count Enables Hassle-Free Structured Pruning
6. CVPR 2025ID-Patch: Robust ID Association for Group Photo Personalization
7. CVPR 2025Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
8. ICLR 2025A Generic Framework for Conformal Fairness
9. ICLR 2025A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
10. ICLR 2025An Effective Theory of Bias Amplification
11. ICLR 2025Balancing Bias in Two-sided Markets for Fair Stable Matchings
12. ICLR 2025Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
13. ICLR 2025CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
14. ICLR 2025Collapsed Language Models Promote Fairness
15. ICLR 2025Comparing noisy neural population dynamics using optimal transport distances
16. ICLR 2025Competitive Fair Scheduling with Predictions
17. ICLR 2025DarkBench: Benchmarking Dark Patterns in Large Language Models
18. ICLR 2025Do as We Do, Not as You Think: the Conformity of Large Language Models
19. ICLR 2025Enhancing Robust Fairness via Confusional Spectral Regularization
20. ICLR 2025Expected Sliced Transport Plans
21. ICLR 2025Exploring Local Memorization in Diffusion Models via Bright Ending Attention
22. ICLR 2025Fair Submodular Cover
23. ICLR 2025FairDen: Fair Density-Based Clustering
24. ICLR 2025First-Person Fairness in Chatbots
25. ICLR 2025Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions
26. ICLR 2025JudgeLM: Fine-tuned Large Language Models are Scalable Judges
27. ICLR 2025LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
28. ICLR 2025Language Models are Advanced Anonymizers
29. ICLR 2025No Location Left Behind: Measuring and Improving the Fairness of Implicit Representations for Earth Data
30. ICLR 2025No Preference Left Behind: Group Distributional Preference Optimization
31. ICLR 2025Regretful Decisions under Label Noise
32. ICLR 2025Relax and Merge: A Simple Yet Effective Framework for Solving Fair $k$-Means and $k$-sparse Wasserstein Barycenter Problems
33. ICLR 2025SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP
34. ICLR 2025Severing Spurious Correlations with Data Pruning
35. ICLR 2025Towards counterfactual fairness through auxiliary variables
36. ICLR 2025Towards Marginal Fairness Sliced Wasserstein Barycenter
37. ICLR 2025UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation
38. ICML 2025A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
39. ICML 2025Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
40. ICML 2025An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale
41. ICML 2025Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
42. ICML 2025Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution
43. ICML 2025DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
44. ICML 2025Direct Motion Models for Assessing Generated Videos
45. ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
46. ICML 2025Feature Importance Metrics in the Presence of Missing Data
47. ICML 2025From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms
48. ICML 2025Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics
49. ICML 2025Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
50. ICML 2025Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs

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.