PromptMix: Textto-image diffusion models enhance the performance of lightweight networks

Detailed info PromptMix: Textto-image diffusion models enhance the performance of lightweight networks AuthorsArian Bakhtiarnia, Qi Zhang, and Alexandros IosifidisTitlePromptMix: Textto-image diffusion models enhance the performance of lightweight networksAbstractMany deep learning…

Continue ReadingPromptMix: Textto-image diffusion models enhance the performance of lightweight networks

Improving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning

  • Post category:Publications

Deploying deep learning services for time-sensitive and resource-constrained settings such as IoT using edge computing systems is a challenging task that requires dynamic adjustment of inference time. Multi-exit architectures allow deep neural networks to terminate their execution early in order to adhere to tight deadlines at the cost of accuracy.

Continue ReadingImproving the Accuracy of Early Exits in Multi-Exit Architectures via Curriculum Learning