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. 1606.05929
  4. Cited By
Learning Convolutional Neural Networks using Hybrid Orthogonal
  Projection and Estimation

Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation

20 June 2016
H. Pan
Hui Jiang
    3DV
ArXivPDFHTML

Papers citing "Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation"

5 / 5 papers shown
Title
Differentiable Projection for Constrained Deep Learning
Differentiable Projection for Constrained Deep Learning
Dou Huang
Haoran Zhang
Xuan Song
Ryosuke Shibasaki
35
2
0
21 Nov 2021
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable
  Loss Function
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function
Mohamed H. Abdelpakey
M. Shehata
3DPC
21
1
0
25 Apr 2020
Compression-aware Training of Deep Networks
Compression-aware Training of Deep Networks
J. Álvarez
Mathieu Salzmann
21
172
0
07 Nov 2017
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
189
2,946
0
15 Dec 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,640
0
03 Jul 2012
1