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Gaussian Vector: An Efficient Solution for Facial Landmark Detection
Significant progress has been made in facial landmark detection with the development of Convolutional Neural Networks.
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
To capture the sequential dependencies, existing methods resort either to data augmentation techniques or left-to-right style autoregressive training. Since these methods are aimed to model the sequential nature of user behaviors, they ignore the future data of a target interaction when constructing the prediction model for it.
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