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DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural
  Networks

DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks

19 July 2020
Hassan Dbouk
Hetul Sanghvi
M. Mehendale
Naresh R Shanbhag
    MQ
ArXivPDFHTML

Papers citing "DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks"

4 / 4 papers shown
Title
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Hyperspherical Quantization: Toward Smaller and More Accurate Models
Dan Liu
X. Chen
Chen-li Ma
Xue Liu
MQ
22
3
0
24 Dec 2022
BiTAT: Neural Network Binarization with Task-dependent Aggregated
  Transformation
BiTAT: Neural Network Binarization with Task-dependent Aggregated Transformation
Geondo Park
Jaehong Yoon
H. Zhang
Xingge Zhang
S. Hwang
Yonina C. Eldar
MQ
26
1
0
04 Jul 2022
Generalized Depthwise-Separable Convolutions for Adversarially Robust
  and Efficient Neural Networks
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
Hassan Dbouk
Naresh R Shanbhag
AAML
19
7
0
28 Oct 2021
QuPeD: Quantized Personalization via Distillation with Applications to
  Federated Learning
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Kaan Ozkara
Navjot Singh
Deepesh Data
Suhas Diggavi
FedML
MQ
24
56
0
29 Jul 2021
1