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

118 papers, page 1 of 3

1. CVPR 2024Classes Are Not Equal: An Empirical Study on Image Recognition Fairness
2. CVPR 2024FairCLIP: Harnessing Fairness in Vision-Language Learning
3. CVPR 2024FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication
4. CVPR 2024GARField: Group Anything with Radiance Fields
5. CVPR 2024Identifying Important Group of Pixels using Interactions
6. CVPR 2024Learning Group Activity Features Through Person Attribute Prediction
7. CVPR 2024Neural Lineage
8. CVPR 2024Preserving Fairness Generalization in Deepfake Detection
9. CVPR 2024Towards Fairness-Aware Adversarial Learning
10. CVPR 2024Utility-Fairness Trade-Offs and How to Find Them
11. ICLR 2024Adversarial Attacks on Fairness of Graph Neural Networks
12. ICLR 2024Aligning Relational Learning with Lipschitz Fairness
13. ICLR 2024Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
14. ICLR 2024Balancing Act: Constraining Disparate Impact in Sparse Models
15. ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
16. ICLR 2024Consistent algorithms for multi-label classification with macro-at-$k$ metrics
17. ICLR 2024Debiasing Attention Mechanism in Transformer without Demographics
18. ICLR 2024Deceptive Fairness Attacks on Graphs via Meta Learning
19. ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
20. ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
21. ICLR 2024Estimating Shape Distances on Neural Representations with Limited Samples
22. ICLR 2024Fair and Efficient Contribution Valuation for Vertical Federated Learning
23. ICLR 2024Fair Classifiers that Abstain without Harm
24. ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
25. ICLR 2024FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
26. ICLR 2024FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis
27. ICLR 2024FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
28. ICLR 2024Language Model Detectors Are Easily Optimized Against
29. ICLR 2024LCOT: Linear Circular Optimal Transport
30. ICLR 2024Learning to Reject Meets Long-tail Learning
31. ICLR 2024Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
32. ICLR 2024Near-Optimal Solutions of Constrained Learning Problems
33. ICLR 2024On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
34. ICLR 2024Perceptual Scales Predicted by Fisher Information Metrics
35. ICLR 2024Post-hoc bias scoring is optimal for fair classification
36. ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
37. ICLR 2024Structural Fairness-aware Active Learning for Graph Neural Networks
38. ICLR 2024Time Fairness in Online Knapsack Problems
39. ICLR 2024Towards Best Practices of Activation Patching in Language Models: Metrics and Methods
40. ICLR 2024Towards Poisoning Fair Representations
41. ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
42. ICML 2024Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
43. ICML 2024Benchmarking Deletion Metrics with the Principled Explanations
44. ICML 2024Centralized Selection with Preferences in the Presence of Biases
45. ICML 2024Differentially Private Worst-group Risk Minimization
46. ICML 2024Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution
47. ICML 2024Disparate Impact on Group Accuracy of Linearization for Private Inference
48. ICML 2024Equilibrium of Data Markets with Externality
49. ICML 2024Evaluating Model Bias Requires Characterizing its Mistakes
50. ICML 2024Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

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.