DeepLearn 2022

winter, spring and summer school
Institute for Research Development, Training and Advice

A research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning.

IRDTA develops 1-week research training programs for PhD students and beyond in the area of data science and machine learning.

5th International School on Deep Learning
DeepLearn 2022 Winter – Bournemouth, UK


  • Yi Ma, University of California, Berkeley
    White-box Deep (Convolution) Networks from the Principle of Rate Reduction
  • Daphna Weinshall, Hebrew University of Jerusalem
    Curriculum Learning in Deep Networks
  • Eric P.Xing, Carnegie Mellon University
    It Is Time for Deep Learning to Understand Its Expense Bills
  • All lecturers

This Winter School is a collaboration between Bournemouth University (UK) Department of Computing and Informatics and IRDTA Brussels-London.

6th International School on Deep Learning
DeepLearn 2022 Spring – Guimarães, Portugal


  • Christopher Manning, Stanford University
    Self-supervised and Naturally Supervised Learning Using Language
  • Kate Smith-Miles, University of Melbourne
    Stress-testing Algorithms via Instance Space Analysis
  • Zhongming Zhao, University of Texas
    Deep Learning Approaches for Predicting Virus-Host Interactions and Drug Response
  • all lecturers

This Spring School is a collaboration between Algoritmi Center, University of Minho, Guimarães, School of Engineering, University of Minho, Intelligent Systems Associate Laboratory, University of Minho, Rovira i Virgili University and Municipality of Guimarães

7th International School on Deep Learning
DeepLearn 2022 Summer
– Las Palmas de Gran Canaria, Spain


  • Wahid Bhimji, Lawrence Berkely National Laboratory
    Deep Learning on Supercomputers for Fundamental Science
  • Rich Caruana, Microsoft Research
    Friends Don’t Let Friends Deploy Black-box Models: The Importance of Interpretable Neural Nets in Machine Learning
  • Kate Saenko, Boston University
    Learning from Biased Data
  • all lecturers

This Summer School is a collaboration between Universidad de Las Palmas de Gran Canaria and IRDTA Brussels-London.


  • winter school: 17-21 januari 2022
    in Bournemouth, UK of online
  • spring school: 18-22 maart 2022
    in Guimarães, Portugal of online
  • summer school: 25-29 juli 2022
    in Las Palmas de Gran Canaria, Spain of online
  • Taal: Engels
  • Doelgroep: graduate students, postgraduate students and industry practitioners


  • Voorwaarden: green
  • Prijs: max. €550