IEEE

A Novel Training Strategy for Deep Learning Model Compression Applied to Automatic Modulation Classification

Abstract: Deep learning techniques, such as deep neural networks (DNNs), have proven highly effective in addressing various automatic modulation classification challenges. However, their computational ...
Microsoft

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training

With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...
IEEE

An Efficient Synchronous Training Integrated Model for Driving Decision-Making Based on Deep Reinforcement Learning

Abstract: Deep reinforcement learning (DRL) is a promising way to develop autonomous driving decision-making models. However, poor driving decisions and low sample efficiency for multiple DRL coupled ...
U.S. News & World Report

China's Tech Giants Move AI Model Training Overseas to Access Nvidia Chips, FT Reports

(Reuters) -Top Chinese firms are training their artificial intelligence models abroad to access Nvidia's chips and avoid U.S. measures aimed at curbing their progress in advanced technology, Financial ...