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

368 papers, page 1 of 8

1. CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection
2. CVPR 2026EMMA Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse
3. CVPR 2026FairLLaVA Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
4. CVPR 2026FedRAC Rolling Submodel Allocation for Collaborative Fairness in Federated Learning
5. CVPR 2026From Failure to Feedback Group Revision Unlocks Hard Cases in
6. CVPR 2026Group Editing Edit Multiple Images in One Go
7. CVPR 2026Hyperbolic Relational Prompts for Intersectional Fairness in Medical VLMs
8. CVPR 2026Interpretable Debiasing of Vision-Language Models for Social Fairness
9. ICLR 2026A Fair Bayesian Inference through Matched Gibbs Posterior
10. ICLR 2026All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting
11. ICLR 2026Automated Interpretability Metrics Do Not Distinguish Trained and Random Transformers
12. ICLR 2026AWM: Accurate Weight-Matrix Fingerprint for Large Language Models
13. ICLR 2026Benchmarking Bias Mitigation Toward Fairness Without Harm from Vision to LVLMs
14. ICLR 2026Benchmarking Stochastic Approximation Algorithms for Fairness-Constrained Training of Deep Neural Networks
15. ICLR 2026Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
16. ICLR 2026Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts
17. ICLR 2026Bias Similarity Measurement: A Black-Box Audit of Fairness Across LLMs
18. ICLR 2026BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
19. ICLR 2026CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives
20. ICLR 2026Doubly-Regressing Approach for Subgroup Fairness
21. ICLR 2026EigenBench: A Comparative Behavioral Measure of Value Alignment
22. ICLR 2026Enhanced Generative Model Evaluation with Clipped Density and Coverage
23. ICLR 2026Fair Classification by Direct Intervention on Operating Characteristics
24. ICLR 2026Fairness via Independence: A General Regularization Framework for Machine Learning
25. ICLR 2026Fairness-Aware Multi-view Evidential Learning with Adaptive Prior
26. ICLR 2026Fast and Stable Riemannian Metrics on SPD Manifolds via Cholesky Product Geometry
27. ICLR 2026FERD: Fairness-Enhanced Data-Free Adversarial Robustness Distillation
28. ICLR 2026GradShield: Alignment Preserving Finetuning
29. ICLR 2026On Fairness of Task Arithmetic: The Role of Task Vectors
30. ICLR 2026Optimal Transport-Induced Samples against Out-of-Distribution Overconfidence
31. ICLR 2026Regulating Internal Evidence Flows for Robust Learning Under Spurious Correlations
32. ICLR 2026Rethinking Pareto Frontier: On the Optimal Trade-offs in Fair Classification
33. ICLR 2026Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds
34. ICLR 2026Spilled Energy in Large Language Models
35. ICLR 2026WaterDrum: Watermark-based Data-centric Unlearning Metric
36. ICML 2026Beyond Procedure: Substantive Fairness in Conformal Prediction
37. ICML 2026Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms
38. ICML 2026Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning
39. ICML 2026Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning
40. ICML 2026Divide-and-Denoise: A Game-Theoretic Method for Fairly Composing Diffusion Models
41. ICML 2026Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off
42. ICML 2026Fair Dataset Distillation via Cross-Group Barycenter Alignment
43. ICML 2026FairMerging: Rethinking Model Merging through the Lens of Fairness
44. ICML 2026Fairness in Aggregation: Optimal Top-$k$ and Improved Full Ranking
45. ICML 2026FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
46. ICML 2026Fine-to-Coarse Fairness-Informed Multi-View Clustering
47. ICML 2026From Individual Calibration to Reliable Classifiers: ALD Parameterization with mPAIC Guarantees
48. ICML 2026Incentivizing Truthfulness and Collaborative Fairness in Bayesian Learning
49. ICML 2026MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
50. ICML 2026Optimal Transport under Group Fairness Constraints

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.