TransAxx: Efficient Transformers With Approximate Computing
Published in IEEE transactions on circuits and systems for artificial intelligence. • Apr 30, 2025
NobleIDNI8P15W10R75S44
Authors:,,
Dimitrios Danopoulos
Georgios Zervakis
Dimitrios Soudris
Abstract
Vision Transformer (ViT) models which were recently introduced by the transformer architecture have shown to be very competitive and often become a popular alternative to Convolutional Neural Networks (CNNs). However, the high computational requirements of these models limit their practical applicab...
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