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Towards energy-efficient deep learning: An overview of energy-efficient approaches along the deep learning lifecycle
Deep Learning has enabled many advances in machine learning applications in the last few
years. However, since current Deep Learning algorithms require much energy for …
years. However, since current Deep Learning algorithms require much energy for …
Language models are few-shot multilingual learners
General-purpose language models have demonstrated impressive capabilities, performing
on par with state-of-the-art approaches on a range of downstream natural language …
on par with state-of-the-art approaches on a range of downstream natural language …
Cross-lingual cross-age group adaptation for low-resource elderly speech emotion recognition
Speech emotion recognition plays a crucial role in human-computer interactions. However,
most speech emotion recognition research is biased toward English-speaking adults, which …
most speech emotion recognition research is biased toward English-speaking adults, which …
[КНИГА][B] Efficient Design of Scalable Deep Neural Networks for Resource-Constrained Edge Devices
M Loni - 2022 - search.proquest.com
Abstract Deep Neural Networks (DNNs) are increasingly being processed on resource-
constrained edge nodes (computer nodes used in, eg, cyber-physical systems or at the edge …
constrained edge nodes (computer nodes used in, eg, cyber-physical systems or at the edge …
[ОПИСАНИЕ][C] Optimization of AI Methods on Distributed-Memory Computing Architectures
D Coquelin - 2024 - Blekinge Institute of Technology