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. 2103.13107
  4. Cited By
W2WNet: a two-module probabilistic Convolutional Neural Network with
  embedded data cleansing functionality

W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality

24 March 2021
Francesco Ponzio
Enrico Macii
E. Ficarra
S. D. Cataldo
ArXivPDFHTML

Papers citing "W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality"

2 / 2 papers shown
Title
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1