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. 2110.11940
  4. Cited By
Logical Activation Functions: Logit-space equivalents of Probabilistic
  Boolean Operators

Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators

22 October 2021
S. Lowe
Robert C. Earle
Jason dÉon
Thomas Trappenberg
Sageev Oore
ArXivPDFHTML

Papers citing "Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators"

2 / 2 papers shown
Title
Neural Symbolic Logical Rule Learner for Interpretable Learning
Neural Symbolic Logical Rule Learner for Interpretable Learning
Bowen Wei
Ziwei Zhu
AI4CE
18
0
0
21 Aug 2024
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
191
1,019
0
26 Mar 2018
1