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Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
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Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference

Xiangjie Li
Chen Lou
Zhengping Zhu
Yuchi Chen
Yingtao Shen
Yehan Ma
An Zou
ArXiv (abs)PDFHTML

Papers citing "Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference"

5 / 5 papers shown
Title
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
70
0
0
07 May 2025
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
Avinash Kumar
Shashank Nag
Jason Clemons
L. John
Poulami Das
109
0
0
14 Apr 2025
AgroLLM: Connecting Farmers and Agricultural Practices through Large Language Models for Enhanced Knowledge Transfer and Practical Application
Dinesh Jackson Samuel
Inna Skarga-Bandurova
David Sikolia
Muhammad Awais
82
1
0
28 Feb 2025
M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference
M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference
Nikhil Bhendawade
Mahyar Najibi
Devang Naik
Irina Belousova
MoE
134
0
0
04 Feb 2025
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling
HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling
Halima Bouzidi
Mohanad Odema
Hamza Ouarnoughi
Mohammad Abdullah Al Faruque
Smail Niar
82
19
0
06 Dec 2022

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