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. 1906.08676
  4. Cited By
Homogeneous Vector Capsules Enable Adaptive Gradient Descent in
  Convolutional Neural Networks

Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks

20 June 2019
Adam Byerly
T. Kalganova
ArXivPDFHTML

Papers citing "Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks"

4 / 4 papers shown
Title
Class Density and Dataset Quality in High-Dimensional, Unstructured Data
Class Density and Dataset Quality in High-Dimensional, Unstructured Data
Adam Byerly
T. Kalganova
27
3
0
08 Feb 2022
Towards an Analytical Definition of Sufficient Data
Towards an Analytical Definition of Sufficient Data
Adam Byerly
T. Kalganova
27
4
0
07 Feb 2022
No Routing Needed Between Capsules
No Routing Needed Between Capsules
Adam Byerly
T. Kalganova
I. Dear
42
67
0
24 Jan 2020
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
7,634
0
03 Jul 2012
1