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AI Democratization in the Era of GPT-3
Trends

AI Democratization in the Era of GPT-3

25.Sep.2020
Mark Riedl
Transformers are Graph Neural Networks
Language

Transformers are Graph Neural Networks

12.Sep.2020
Chaitanya K. Joshi
Shortcuts: How Neural Networks Love to Cheat
Perspectives

Shortcuts: How Neural Networks Love to Cheat

25.Jul.2020
Jörn-Henrik Jacobsen, Robert Geirhos, Claudio Michaelis
How to Stop Worrying About Compositionality
Overviews

How to Stop Worrying About Compositionality

19.Jul.2020
Aurelie Herbelot
Challenges of Comparing Human and Machine Perception
Overviews

Challenges of Comparing Human and Machine Perception

06.Jul.2020
Judy Borowski and Christina Funke
Lessons from the PULSE Model and Discussion
Ethics

Lessons from the PULSE Model and Discussion

24.Jun.2020
Andrey Kurenkov
A Speech-To-Text Practitioner’s Criticisms of Industry and Academia
Perspectives

A Speech-To-Text Practitioner’s Criticisms of Industry and Academia

04.Apr.2020
Alexander Veysov
Towards an ImageNet Moment for Speech-to-Text
Language

Towards an ImageNet Moment for Speech-to-Text

28.Mar.2020
Alexander Veysov
Quantifying Independently Reproducible Machine Learning
Perspectives

Quantifying Independently Reproducible Machine Learning

06.Feb.2020
Edward Raff
GPT-2 and the Nature of Intelligence
Perspectives

GPT-2 and the Nature of Intelligence

25.Jan.2020
Gary Marcus
The Economics of AI Today
Policy

The Economics of AI Today

18.Jan.2020
Juan Mateos-Garcia

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