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.
Deeplearn 2022
25 Jul 2022 - 29 Jul 2022
IRDTA develops 1-week research training programs for PhD students and beyond in the area of data science and machine learning.
Practical information:
25 Jul 2022 - 29 Jul 2022
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
English
Target audience: graduate students, postgraduate students and industry practitioners
Organised by:
5th International School on Deep Learning DeepLearn 2022 Winter – Bournemouth, UK
Lecturers
- 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
Lecturers
- 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
Lecturers
- 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.
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