Traditional feature selection methods usually only consider a specific geometric structure of the original data, which cannot reveal the most essential underlying structure of the data. Apart from ...

The United States Data Security Program (DSP) represents a significant regulatory undertaking by the US government to control the flow of bulk sensitive data to specific foreign countries, for ...

I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are stored in the FP8 data type. However, I noticed that ...

Sparsification technology is crucial for deploying convolutional neural networks in resource-constrained environments. However, the efficiency of sparse models is hampered by irregular memory access ...