Reconfigurable datacenter networks (RDCNs), which can adapt their topology dynamically, based on innovative optical switching ...

In computer vision, convolutional networks (CNNs) often adopts pooling to enlarge receptive field which has the advantage of low computational complexity. However, pooling can cause information loss ...

Neural Graph Collaborative Filtering, Paper in ACM DL or Paper in arXiv. In SIGIR'19, Paris, France, July 21-25, 2019. Author: Dr. Xiang Wang (xiangwang at u.nus.edu) It indicates the node dropout ...

CoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models for variety of tasks, including foundation models (e.g., CLIP ...