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Searching for Low-Bit Weights in Quantized Neural Networks

Searching for Low-Bit Weights in Quantized Neural Networks

18 September 2020
Zhaohui Yang
Yunhe Wang
Kai Han
Chunjing Xu
Chao Xu
Dacheng Tao
Chang Xu
    MQ
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Papers citing "Searching for Low-Bit Weights in Quantized Neural Networks"

15 / 15 papers shown
Title
BOLD: Boolean Logic Deep Learning
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen
Cristian Ocampo
Aymen Askri
Louis Leconte
Ba-Hien Tran
AI4CE
37
0
0
25 May 2024
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
Zhaopeng Tu
Xinghao Chen
Pengju Ren
Yunhe Wang
MQ
34
54
0
17 Aug 2022
Lipschitz Continuity Retained Binary Neural Network
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
11
19
0
13 Jul 2022
GhostNets on Heterogeneous Devices via Cheap Operations
GhostNets on Heterogeneous Devices via Cheap Operations
Kai Han
Yunhe Wang
Chang Xu
Jianyuan Guo
Chunjing Xu
Enhua Wu
Qi Tian
19
102
0
10 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU
  Tensor Cores
APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores
Boyuan Feng
Yuke Wang
Tong Geng
Ang Li
Yufei Ding
MQ
11
37
0
23 Jun 2021
Distilling Object Detectors via Decoupled Features
Distilling Object Detectors via Decoupled Features
Jianyuan Guo
Kai Han
Yunhe Wang
Han Wu
Xinghao Chen
Chunjing Xu
Chang Xu
24
199
0
26 Mar 2021
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural
  Networks by Pruning A Randomly Weighted Network
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network
James Diffenderfer
B. Kailkhura
MQ
25
75
0
17 Mar 2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Ying Nie
Kai Han
Zhenhua Liu
Chunjing Xu
Yunhe Wang
OOD
37
22
0
21 Jan 2021
SCOP: Scientific Control for Reliable Neural Network Pruning
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang
Yunhe Wang
Yixing Xu
Dacheng Tao
Chunjing Xu
Chao Xu
Chang Xu
AAML
39
166
0
21 Oct 2020
Training Stronger Baselines for Learning to Optimize
Training Stronger Baselines for Learning to Optimize
Tianlong Chen
Weiyi Zhang
Jingyang Zhou
Shiyu Chang
Sijia Liu
Lisa Amini
Zhangyang Wang
OffRL
19
51
0
18 Oct 2020
Kernel Based Progressive Distillation for Adder Neural Networks
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu
Chang Xu
Xinghao Chen
Wei Zhang
Chunjing Xu
Yunhe Wang
30
47
0
28 Sep 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional Networks
Yiding Yang
Jiayan Qiu
Mingli Song
Dacheng Tao
Xinchao Wang
148
226
0
23 Mar 2020
ReNAS:Relativistic Evaluation of Neural Architecture Search
ReNAS:Relativistic Evaluation of Neural Architecture Search
Yixing Xu
Yunhe Wang
Avishkar Bhoopchand
Christopher Mattern
A. Grabska-Barwinska
Chunjing Xu
Chang Xu
20
81
0
30 Sep 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete
  Back Propagation
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Jiaxin Gu
Ce Li
Baochang Zhang
J. Han
Xianbin Cao
Jianzhuang Liu
David Doermann
3DV
168
86
0
30 Nov 2018
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