Applied Exploration

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The current limitations of Graph Neural Networks. We continue our two part series on ML on Graphs, by asking: could graphs replace other domain specific formats and algorithms, such as Computer Vision (CV) or Natural Language Processing (NLP)?
Daniel Szemerey
and
Mark Aron Szulyovszky
3
New
Why Machine Learning on Graphs could be the future of AI. Many researchers are doubling down on scaling models like GPT-3 on an ever bigger corpus of…
Daniel Szemerey
and
Mark Aron Szulyovszky
3
Deep Reinforcement Learning is about learning from mistakes - although all machine learning algorithms depend on making sense of the magnitude of error…
Daniel Szemerey
and
Mark Aron Szulyovszky
2
This is Applied Exploration, a newsletter about SOTA Machine Learning in practice.
Daniel Szemerey
and
Mark Aron Szulyovszky
2

Applied Exploration

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