Social aspects · fairness papers, 2023–2026
Social aspect: fairness
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 358 papers are tagged with this topic.
Key findings
- Social aspects · fairness went from 36 papers in 2023 to 111 in 2026, roughly 3.1x in three years.
- NeurIPS publishes the most Social aspects · fairness work: 180 papers from 2023 to 2026, 50% of the four-venue total.
- The fastest-growing overlap is with Social aspects · safety: papers tagged with both rose from 1 in 2023 to 56 in 2026.
- Among the 5 topics under Alignment and Responsible AI, it ranks #5 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 3.1x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 19 | 8 | 7 | 2 | 36 |
| 2024 | 56 | 9 | 11 | 3 | 79 |
| 2025 | 62 | 8 | 61 | 1 | 132 |
| 2026 | 43 | 4 | 60 | 4 | 111 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
- ICML 2026A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
- ICLR 2026Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
- CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
- NeurIPS 2025Discretization-free Multicalibration through Loss Minimization over Tree Ensembles
- ICML 2025Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
- ICLR 2025Prompting Fairness: Integrating Causality to Debias Large Language Models
- CVPR 2025Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction
- NeurIPS 2024A Closer Look at AUROC and AUPRC under Class Imbalance
- ICML 2024Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized
- ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
- CVPR 2024Preserving Fairness Generalization in Deepfake Detection
- NeurIPS 2023[Re] Fairness Guarantees under Demographic Shift
- ICML 2023Fairness in Streaming Submodular Maximization over a Matroid Constraint
- ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
- CVPR 2023Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
- NeurIPS 2026Chatter Attack: Resource Consumption Attack for Large Language Models
- ICML 2026Adaptive Generation of Bias-Eliciting Questions for LLMs
- ICLR 2026Bi-Criteria Metric Distortion
- CVPR 2026Decoupling Bias Aligning Distributions Synergistic Fairness Optimization for Deepfake Detection
All Social aspects · fairness papers
29 papers, page 1 of 1
- ICLR 2026Bi-Criteria Metric Distortion
- ICLR 2026Bi-directional Bias Attribution: Debiasing Large Language Models without Modifying Prompts
- ICLR 2026Culture in Action: Evaluating Text-to-Image Models through Social Activities
- ICLR 2026FERD: Fairness-Enhanced Data-Free Adversarial Robustness Distillation
- ICLR 2025A Generic Framework for Conformal Fairness
- ICLR 2025An Effective Theory of Bias Amplification
- ICLR 2025CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
- ICLR 2025Collapsed Language Models Promote Fairness
- ICLR 2025Competitive Fair Scheduling with Predictions
- ICLR 2025Prompting Fairness: Integrating Causality to Debias Large Language Models
- ICLR 2025Rethinking Fair Representation Learning for Performance-Sensitive Tasks
- ICLR 2025Towards Marginal Fairness Sliced Wasserstein Barycenter
- ICLR 2024Aligning Relational Learning with Lipschitz Fairness
- ICLR 2024Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
- ICLR 2024Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
- ICLR 2024Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition
- ICLR 2024Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
- ICLR 2024fairret: a Framework for Differentiable Fairness Regularization Terms
- ICLR 2024Procedural Fairness Through Decoupling Objectionable Data Generating Components
- ICLR 2024Training Socially Aligned Language Models on Simulated Social Interactions
- ICLR 2024Unprocessing Seven Years of Algorithmic Fairness
- ICLR 2023Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
- ICLR 2023Equal Improvability: A New Fairness Notion Considering the Long-term Impact
- ICLR 2023Expressive Monotonic Neural Networks
- ICLR 2023FairGBM: Gradient Boosting with Fairness Constraints
- ICLR 2023Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
- ICLR 2023FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
- ICLR 2023Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization
- ICLR 2023Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization
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FAQ
- How many Social aspects · fairness papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 358 in total: 36 in 2023, 79 in 2024, 132 in 2025, 111 in 2026.
- How many Social aspects · fairness papers are at NeurIPS 2026?
- NeurIPS 2026 has 43 Social aspects · fairness papers, versus 62 the year before.
- How many Social aspects · fairness papers are at ICLR 2026?
- ICLR 2026 has 4 Social aspects · fairness papers, versus 8 the year before.
- How many Social aspects · fairness papers are at ICML 2026?
- ICML 2026 has 60 Social aspects · fairness papers, versus 61 the year before.
- How many Social aspects · fairness papers are at CVPR 2026?
- CVPR 2026 has 4 Social aspects · fairness papers, versus 1 the year before.
- Which conference publishes the most Social aspects · fairness papers?
- NeurIPS, with 180 papers from 2023 to 2026.