Search Results for author:
Found 4 papers, 2 papers with code
Operation-aware Neural Networks for User Response Prediction
Many deep models are proposed to automatically learn high-order feature interactions.
Super Interaction Neural Network
Recent studies have demonstrated that the convolutional networks heavily rely on the quality and quantity of generated features.
Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning
In this paper, it is the first time to discuss the difficulty without support of old classes in class incremental learning, which is called as softmax suppression problem.
Faster and Simpler Siamese Network for Single Object Tracking
With the development of the deep network and the release for a series of large scale datasets for single object tracking, siamese networks have been proposed and perform better than most of the traditional methods.
