Deep Learning Update (DLU) Conference

Jürgen Brauer's picture
Call for Papers
January 15, 2021
Subject Fields: 
Research and Methodology


DLU (Deep Learning Update) is a new format for an online-only conference focusing on Deep Learning.

Authors submit not only a paper but also a video of their talk. Both, the paper and the video, will be reviewed to filter for valuable content and a clear presentation of the corresponding research.

We invite researchers from all areas of Deep Learning to submit their contributions, for example contributions in the field of:

  • Deep Learning for Computer Vision
  • Deep Learning for Audio and Speech Processing
  • Deep Learning for Natural Language Processing (NLP)
  • Deep Learning for Robotics
  • Deep Learning for Time Series Analysis
  • Deep Reinforcement Learning
  • Deep Learning in Medicine and Bioinformatics
  • Deep Learning for Advanced Driver Assistance Systems and Autonomous Driving
  • Bio-Inspired Deep Learning Approaches
  • Recurrent Networks
  • Generative Models (e.g., Image generation, Text generation, etc.)
  • Cognitive Science and Neuroscience
  • Computational models of the brain
  • Deep Learning and Information Theory
  • Unsupervised Learning with Neural Networks
  • New Learning Approaches for Neural Networks
  • Optimization Techniques for Neural Networks
  • Compression of Neural Networks
  • Uncertainty Estimation for Neural Networks
  • Reservoir and Deep Reservoir Computing
  • Random Neural Networks
  • Binary Neural Networks
  • Hardware for acceleration of Neural Networks
  • Energy Efficient Neural Networks

For more information please visit:

Contact Info: 

Conference Speaker: Prof. Dr.-Ing. Jürgen Brauer