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Fairness

3,511 papers

Papers per year

251
692
'20
'25

Papers

Private Attribute Inference from Images with Vision-Language Models NIPS 2024
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium NIPS 2024
Visual Data Diagnosis and Debiasing with Concept Graphs NIPS 2024
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks NIPS 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NIPS 2024
Conformal Classification with Equalized Coverage for Adaptively Selected Groups NIPS 2024
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency NIPS 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models NIPS 2024
Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models NIPS 2024
T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition NIPS 2024
Copycats: the many lives of a publicly available medical imaging dataset NIPS 2024
User-item fairness tradeoffs in recommendations NIPS 2024
Multi-Group Proportional Representation in Retrieval NIPS 2024
The Fairness-Quality Tradeoff in Clustering NIPS 2024
Regression under demographic parity constraints via unlabeled post-processing NIPS 2024
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting NIPS 2024
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations NIPS 2024
FairWire: Fair Graph Generation NIPS 2024
User-Creator Feature Polarization in Recommender Systems with Dual Influence NIPS 2024
Fair Allocation in Dynamic Mechanism Design NIPS 2024
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions NIPS 2024
To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation NIPS 2024
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs NIPS 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning NIPS 2024
Adversarially Robust Multi-task Representation Learning NIPS 2024