Abstract: Feature selection (FS) is a critical task in data science and machine learning, presenting significant challenges in high-dimensional settings due to the complexity and noise inherent in ...

Abstract: To more effectively address the computational and memory requirements of deep neural networks (DNNs), leveraging multi-level sparsity-including value-level and bit-level sparsity-has emerged ...

As businesses look to expand into new markets, their digital strategy needs to scale with them. This requires building trust, visibility and relevance with more users. One of the most effective yet ...