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. 1502.04042
  4. Cited By
Abstract Learning via Demodulation in a Deep Neural Network

Abstract Learning via Demodulation in a Deep Neural Network

13 February 2015
Andrew J. R. Simpson
    AI4CE
ArXivPDFHTML

Papers citing "Abstract Learning via Demodulation in a Deep Neural Network"

5 / 5 papers shown
Title
Towards quantifying information flows: relative entropy in deep neural
  networks and the renormalization group
Towards quantifying information flows: relative entropy in deep neural networks and the renormalization group
J. Erdmenger
Kevin T. Grosvenor
R. Jefferson
54
17
0
14 Jul 2021
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
29
81
0
02 Jan 2020
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a
  Convolutional Deep Neural Network
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network
Andrew J. R. Simpson
Gerard Roma
Mark D. Plumbley
36
102
0
17 Apr 2015
Probabilistic Binary-Mask Cocktail-Party Source Separation in a
  Convolutional Deep Neural Network
Probabilistic Binary-Mask Cocktail-Party Source Separation in a Convolutional Deep Neural Network
Andrew J. R. Simpson
19
25
0
24 Mar 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
1