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. 2010.10716
  4. Cited By
TargetDrop: A Targeted Regularization Method for Convolutional Neural
  Networks

TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks

21 October 2020
Hui Zhu
Xiaofang Zhao
ArXivPDFHTML

Papers citing "TargetDrop: A Targeted Regularization Method for Convolutional Neural Networks"

2 / 2 papers shown
Title
AdaFSNet: Time Series Classification Based on Convolutional Network with
  a Adaptive and Effective Kernel Size Configuration
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration
Haoxiao Wang
Bo Peng
Jianhua Zhang
Xu Cheng
AI4TS
34
1
0
28 Apr 2024
Avoiding Overfitting: A Survey on Regularization Methods for
  Convolutional Neural Networks
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
C. F. G. Santos
João Paulo Papa
17
209
0
10 Jan 2022
1