accuracy

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
Read more about the article Freshly published: Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead

Freshly published: Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead

The authors are Vandana Rajan, Alessio Brutti, and Andrea Cavallaro and they will present the results in the IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP). The conference will take place in Toronto on the 06th until the 11th of June, 2021.

Continue ReadingFreshly published: Single-Layer Vision Transformers for More Accurate Early Exits with Less Overhead