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. 2007.15801
  4. Cited By
Finite Versus Infinite Neural Networks: an Empirical Study

Finite Versus Infinite Neural Networks: an Empirical Study

31 July 2020
Jaehoon Lee
S. Schoenholz
Jeffrey Pennington
Ben Adlam
Lechao Xiao
Roman Novak
Jascha Narain Sohl-Dickstein
ArXivPDFHTML

Papers citing "Finite Versus Infinite Neural Networks: an Empirical Study"

2 / 52 papers shown
Title
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
242
3,681
0
28 Feb 2017
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
282
9,136
0
06 Jun 2015
Previous
12