ResearchTrend.AI
FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference

FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference

Ruizhou Ding
Z. Liu
Ting-Wu Chin
Diana Marculescu
R. D.
R. D. Blanton
    MQ
ArXivPDFHTML

Papers citing "FLightNNs: Lightweight Quantized Deep Neural Networks for Fast and Accurate Inference"

4 / 4 papers shown
Title
HQNAS: Auto CNN deployment framework for joint quantization and architecture search
HQNAS: Auto CNN deployment framework for joint quantization and architecture search
Hongjiang Chen
Yang Wang
Leibo Liu
Shaojun Wei
Shouyi Yin
MQ
16
2
0
16 Oct 2022
A Survey of Methods for Low-Power Deep Learning and Computer Vision
A Survey of Methods for Low-Power Deep Learning and Computer Vision
Abhinav Goel
Caleb Tung
Yung-Hsiang Lu
George K. Thiruvathukal
VLM
15
92
0
24 Mar 2020
Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks
Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks
Usama Muneeb
Erdem Koyuncu
Yasaman Keshtkarjahromi
H. Seferoglu
M. F. Erden
Ahmet Enis Cetin
26
6
0
30 Oct 2019
Towards Efficient Model Compression via Learned Global Ranking
Towards Efficient Model Compression via Learned Global Ranking
Ting-Wu Chin
Ruizhou Ding
Cha Zhang
Diana Marculescu
16
170
0
28 Apr 2019