Applied Exploration

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Is it enough to report performance on a single dataset? Can we trust the reported improvement of new model architectures? We created 144 experiments for…
Daniel Szemerey
and
Mark Aron Szulyovszky
1
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…
Daniel Szemerey
and
Mark Aron Szulyovszky
3
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
© 2022 Daniel Szemerey, Mark Aron Szulyovszky
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