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TitleStatusHype
Fairness Aware Counterfactuals for Subgroups—0
Fairness Aware Reinforcement Learning via Proximal Policy Optimization—0
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data—0
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods—0
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results—0
Fairness Testing through Extreme Value Theory—0
Fairness through Equality of Effort—0
Fairness Under Feature Exemptions: Counterfactual and Observational Measures—0
FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations—0
FairPFN: Transformers Can do Counterfactual Fairness—0
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering—0
Fair When Trained, Unfair When Deployed: Observable Fairness Measures are Unstable in Performative Prediction Settings—0
FairyTED: A Fair Rating Predictor for TED Talk Data—0
Faithful Counterfactual Visual Explanations (FCVE)—0
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals—0
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations—0
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent—0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training—0
Fast Model Debias with Machine Unlearning—0
Fast Real-time Counterfactual Explanations—0
F?D: On understanding the role of deep feature spaces on face generation evaluation—0
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints—0
Feature Attributions and Counterfactual Explanations Can Be Manipulated—0
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