Consistency regularization on label predictions becomes a fundamental
te...
For stability and reliability of real-world applications, the robustness...
Soft labeling becomes a common output regularization for generalization ...
Short-term demand forecasting models commonly combine convolutional and
...
In object detection, reducing computational cost is as important as impr...
This paper presents how we can achieve the state-of-the-art accuracy in
...