Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

gradient descent

biblio

Visible to the public On the Geometry of Rectifier Convolutional Neural Networks

Submitted by grigby1 on Mon, 10/05/2020 - 1:49pm
  • Geometry
  • understanding
  • trained rectifier networks
  • Tensile stress
  • rectifier convolutional neural networks
  • pubcrawl
  • preimage
  • preactivation space
  • natural data
  • learning (artificial intelligence)
  • Kernel
  • inductive bias
  • gradient descent
  • Compositionality
  • deep learning
  • convolutional neural networks
  • convolutional neural nets
  • convolutional networks
  • convolutional layers
  • Convolutional codes
  • convolution
  • computer vision
  • Complexity theory
  • Computing Theory and Compositionality
  • Human Factors
  • Human behavior
biblio

Visible to the public Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Submitted by aekwall on Mon, 01/06/2020 - 10:35am
  • Scalability
  • Resiliency
  • pubcrawl
  • composability
  • differential privacy
  • erm
  • gradient descent
biblio

Visible to the public Efficient Privacy-Preserving Matrix Factorization via Fully Homomorphic Encryption: Extended Abstract

Submitted by grigby1 on Fri, 08/18/2017 - 1:54pm
  • composability
  • efficient encryption
  • gradient descent
  • Homomorphic encryption
  • matrix factorization
  • privacy
  • pubcrawl
  • Resiliency

Terms of Use  |  ©2023. CPS-VO