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Fairness

3337 directly classified papers

Papers per year

Papers

Towards Societal Impact of AI AAAI 2023
Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023
Bugs in the Data: How ImageNet Misrepresents Biodiversity AAAI 2023
Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare AISTATS 2023
MixFairFace: Towards Ultimate Fairness via MixFair Adapter in Face Recognition AAAI 2023
Mitigating Adversarial Norm Training with Moral Axioms AAAI 2023
ADEPT: A DEbiasing PrompT Framework AAAI 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023
Correct for Whom? Subjectivity and the Evaluation of Personalized Image Aesthetics Assessment Models AAAI 2023
Identifying Selection Bias from Observational Data AAAI 2023
Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023
Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations AAAI 2023
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction AAAI 2023
Combining Adversaries with Anti-adversaries in Training AAAI 2023
A Fair Generative Model Using LeCam Divergence AAAI 2023
Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness AAAI 2023
CertiFair: A Framework for Certified Global Fairness of Neural Networks AAAI 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023
Fair Representation Learning with Unreliable Labels AISTATS 2023
Sustaining Fairness via Incremental Learning AAAI 2023
Improving Robust Fariness via Balance Adversarial Training AAAI 2023
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation IJCAI 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models AAAI 2023
On Generalized Degree Fairness in Graph Neural Networks AAAI 2023
Fair Generative Models via Transfer Learning AAAI 2023