Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1712.01048
Cited By
Adaptive Quantization for Deep Neural Network
4 December 2017
Yiren Zhou
Seyed-Mohsen Moosavi-Dezfooli
Ngai-man Cheung
P. Frossard
MQ
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Adaptive Quantization for Deep Neural Network"
20 / 20 papers shown
Title
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Kaixin Xu
Zhe Wang
Chunyun Chen
Xue Geng
Jie Lin
Xulei Yang
Min-man Wu
Min Wu
Xiaoli Li
Weisi Lin
ViT
VLM
43
7
0
02 Jul 2024
Pursing the Sparse Limitation of Spiking Deep Learning Structures
Hao-Ran Cheng
Jiahang Cao
Erjia Xiao
Mengshu Sun
Le Yang
Jize Zhang
Xue Lin
B. Kailkhura
Kaidi Xu
Renjing Xu
16
1
0
18 Nov 2023
MBQuant: A Novel Multi-Branch Topology Method for Arbitrary Bit-width Network Quantization
Yunshan Zhong
Yuyao Zhou
Fei Chao
Rongrong Ji
MQ
26
1
0
14 May 2023
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
Deepika Bablani
J. McKinstry
S. K. Esser
R. Appuswamy
D. Modha
MQ
15
4
0
30 Jan 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte
S. Schechtman
Eric Moulines
27
4
0
07 Nov 2022
Anytime-Lidar: Deadline-aware 3D Object Detection
Ahmet Soyyigit
Shuochao Yao
H. Yun
3DPC
11
9
0
25 Aug 2022
Mixed-Precision Neural Networks: A Survey
M. Rakka
M. Fouda
Pramod P. Khargonekar
Fadi J. Kurdahi
MQ
18
11
0
11 Aug 2022
Differential Privacy: What is all the noise about?
Roxana Dánger Mercaderes
22
3
0
19 May 2022
Automatic Mixed-Precision Quantization Search of BERT
Changsheng Zhao
Ting Hua
Yilin Shen
Qian Lou
Hongxia Jin
MQ
17
19
0
30 Dec 2021
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations
Ido Ben-Yair
Gil Ben Shalom
Moshe Eliasof
Eran Treister
MQ
16
5
0
31 Aug 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAML
MQ
20
18
0
16 Apr 2021
An SMT-Based Approach for Verifying Binarized Neural Networks
Guy Amir
Haoze Wu
Clark W. Barrett
Guy Katz
11
58
0
05 Nov 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
22
79
0
17 Sep 2020
MINT: Deep Network Compression via Mutual Information-based Neuron Trimming
Madan Ravi Ganesh
Jason J. Corso
S. Y. Sekeh
MQ
30
15
0
18 Mar 2020
ZeroQ: A Novel Zero Shot Quantization Framework
Yaohui Cai
Z. Yao
Zhen Dong
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
27
389
0
01 Jan 2020
Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection
Tianshu Chu
Qin Luo
Jie-jin Yang
Xiaolin Huang
MQ
16
6
0
29 Dec 2019
Loss Aware Post-training Quantization
Yury Nahshan
Brian Chmiel
Chaim Baskin
Evgenii Zheltonozhskii
Ron Banner
A. Bronstein
A. Mendelson
MQ
15
163
0
17 Nov 2019
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
24
274
0
10 Nov 2019
A Survey on Methods and Theories of Quantized Neural Networks
Yunhui Guo
MQ
27
230
0
13 Aug 2018
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,947
0
15 Dec 2014
1