[1708. 05123] Deep Cross Network for Ad Click Predictions In this paper, we propose the Deep Cross Network (DCN) which keeps the benefits of a DNN model, and beyond that, it introduces a novel cross network that is more efficient in learning certain bounded-degree feature interactions
Deep Cross Network（DCN）-腾讯云开发者社区-腾讯云 Google 2017年提出DCN模型，改进Wide Deep，新增Cross网络学习交叉特征。 它含Embedding等五层结构，Cross网络用残差形式挖掘特征交叉，与Deep网络并行，提升CTR预测效果，减少人工特征工程。
GitHub - OpenGVLab DCNv4: [CVPR 2024] Deformable Convolution v4 We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1 removing softmax normalization in spatial aggregation to enhance its dynamic property and expressive power and 2 optimizing memory access to minimize redundant