ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.04321
  4. Cited By
Energy-Constrained Compression for Deep Neural Networks via Weighted
  Sparse Projection and Layer Input Masking

Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking

12 June 2018
Haichuan Yang
Yuhao Zhu
Ji Liu
    CVBM
ArXivPDFHTML

Papers citing "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"

8 / 8 papers shown
Title
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li Li
Song Han
60
1,346
0
10 Feb 2018
StrassenNets: Deep Learning with a Multiplication Budget
StrassenNets: Deep Learning with a Multiplication Budget
Michael Tschannen
Aran Khanna
Anima Anandkumar
34
29
0
11 Dec 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
55
330
0
15 Nov 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
186
2,513
0
19 Jul 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
78
479
0
24 May 2017
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
151
3,676
0
31 Aug 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
122
4,342
0
16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
104
7,448
0
24 Feb 2016
1