Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the... (more…)
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By detecting trends that humans are unable to spot, researchers hope to treat the disorder more effectively. (more…)
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Getting labeled training data has become the key development bottleneck in
supervised machine learning. We provide a broad, high-level overview of recent
weak supervision approaches, where noisier or higher-level
supervision is used as a more expedient an... (more…)
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Mini-course about machine learning given at GradDays of Heidelberg University... (more…)
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If you'd like to get updates on how my progress goes, feel free to subscribe here or follow me on twitter! In 2020 and beyond, I plan to dive more deeply into independent research projects in Machine Learning and Theoretical Neuroscience. It has been on m... (more…)
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