Research Focus: Week of December 18, 2023
NEW RESEARCH
NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
Deep Neural Networks (DNNs) are essentially stacked transformation functions (layers) that generate progressively complex features/encoding. This makes them universal approximators and allows for unprecedented success in complex tasks. This inferential effectiveness comes at