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Found 7 papers, 0 papers with code
The Future of Combating Rumors? Retrieval, Discrimination, and Generation
Artificial Intelligence Generated Content (AIGC) technology development has facilitated the creation of rumors with misinformation, impacting societal, economic, and political ecosystems, challenging democracy.
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning
While there are many definitions of fairness that could be applicable in the context of personalized systems, we present a framework which we call the Variance Reduction System (VRS) for achieving more equitable outcomes in Meta's ads systems.
Transparency Tools for Fairness in AI (Luskin)
The three tools are: - A new definition of fairness called "controlled fairness" with respect to choices of protected features and filters.
Towards Threshold Invariant Fair Classification
This paper introduces the notion of threshold invariant fairness, which enforces equitable performances across different groups independent of the decision threshold.
Adaptive Multi-Trace Carving for Robust Frequency Tracking in Forensic Applications
In the field of information forensics, many emerging problems involve a critical step that estimates and tracks weak frequency components in noisy signals.
Respiratory Rate Estimation from Face Videos
Commercial cameras are promising contact-free sensors, and remote photoplethysmography (rPPG) have been studied to remotely monitor heart rate from face videos.
3D Hand Pose Tracking and Estimation Using Stereo Matching
This paper demonstrates that the performance of the state-of-the art tracking/estimation algorithms can be maintained with most stereo matching algorithms on the proposed benchmark, as long as the hand segmentation is correct.
