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Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction
The idea of the proposed MMA is mainly two-fold: 1) apply different $L_p$-norm on loss function and regularization to form different variant models in different metric spaces, and 2) aggregate these variant models.
Auto-Focus Contrastive Learning for Image Manipulation Detection
However, we argue that those models achieve sub-optimal detection performance as it tends to: 1) distinguish the manipulation traces from a lot of noisy information within the entire image, and 2) ignore the trace relations among the pixels of each manipulated region and its surroundings.
JANOS: An Integrated Predictive and Prescriptive Modeling Framework
The framework considers two sets of decision variables; regular and predicted.
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