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

95 papers, page 2 of 2

51. ICML 2024Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
52. ICML 2024FairProof : Confidential and Certifiable Fairness for Neural Networks
53. ICML 2024FRAPPÉ: A Group Fairness Framework for Post-Processing Everything
54. ICML 2024Grokking Group Multiplication with Cosets
55. ICML 2024Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity
56. ICML 2024How Far Can Fairness Constraints Help Recover From Biased Data?
57. ICML 2024Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference
58. ICML 2024Individual Fairness in Graph Decomposition
59. ICML 2024Monotone Individual Fairness
60. ICML 2024On The Fairness Impacts of Hardware Selection in Machine Learning
61. ICML 2024On the Maximal Local Disparity of Fairness-Aware Classifiers
62. ICML 2024PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
63. ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
64. ICML 2024Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation
65. ICML 2024Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
66. ICML 2024Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
67. ICML 2024Stability and Multigroup Fairness in Ranking with Uncertain Predictions
68. ICML 2024Standardized Interpretable Fairness Measures for Continuous Risk Scores
69. ICML 2024Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts
70. ICML 2023A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
71. ICML 2023An Effective Meaningful Way to Evaluate Survival Models
72. ICML 2023Brauer's Group Equivariant Neural Networks
73. ICML 2023Change is Hard: A Closer Look at Subpopulation Shift
74. ICML 2023Differential Privacy has Bounded Impact on Fairness in Classification
75. ICML 2023Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
76. ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
77. ICML 2023FAIRER: Fairness as Decision Rationale Alignment
78. ICML 2023Fairness in Matching under Uncertainty
79. ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
80. ICML 2023Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
81. ICML 2023How Jellyfish Characterise Alternating Group Equivariant Neural Networks
82. ICML 2023Improving Fair Training under Correlation Shifts
83. ICML 2023Learning Antidote Data to Individual Unfairness
84. ICML 2023Matrix Estimation for Individual Fairness
85. ICML 2023Neural FIM for learning Fisher information metrics from point cloud data
86. ICML 2023Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective
87. ICML 2023New metrics and search algorithms for weighted causal DAGs
88. ICML 2023On the Within-Group Fairness of Screening Classifiers
89. ICML 2023Quantifying the Variability Collapse of Neural Networks
90. ICML 2023Sample Complexity of Probability Divergences under Group Symmetry
91. ICML 2023Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions
92. ICML 2023Superhuman Fairness
93. ICML 2023The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
94. ICML 2023Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
95. 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.