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Energy-efficient Task Adaptation for NLP Edge Inference Leveraging
  Heterogeneous Memory Architectures

Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures

25 March 2023
Zirui Fu
Aleksandre Avaliani
M. Donato
ArXivPDFHTML

Papers citing "Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures"

4 / 4 papers shown
Title
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
62
3
0
11 Feb 2025
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
124
671
0
24 Jan 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
105
464
0
17 Oct 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,950
0
20 Apr 2018
1