Search Results for author: Ioannis Panopoulos

Found 3 papers, 0 papers with code

Exploring the Performance and Efficiency of Transformer Models for NLP on Mobile Devices

no code implementations20 Jun 2023 Ioannis Panopoulos, Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris

Deep learning (DL) is characterised by its dynamic nature, with new deep neural network (DNN) architectures and approaches emerging every few years, driving the field's advancement.

How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures

no code implementations21 Jun 2021 Stylianos I. Venieris, Ioannis Panopoulos, Ilias Leontiadis, Iakovos S. Venieris

Collectively, these results highlight the critical need for further exploration as to how the various cross-stack solutions can be best combined in order to bring the latest advances in deep learning close to users, in a robust and efficient manner.

speech-recognition Speech Recognition

OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices

no code implementations8 Jun 2021 Stylianos I. Venieris, Ioannis Panopoulos, Iakovos S. Venieris

Radical progress in the field of deep learning (DL) has led to unprecedented accuracy in diverse inference tasks.

Cannot find the paper you are looking for? You can Submit a new open access paper.