The Conference for Machine Learning Innovation

The unreasonable effectiveness of simple models

Session
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Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until August 11:
✓ Save up to $593
✓ ML Intro Day for free
✓ Team discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Join the ML Revolution!
Register until September 23:
✓ PS Classic or C64 Mini for free
✓ Save up to €310
10 % Team Discount
Register Now
Infos
Wednesday, June 29 2022
11:30 - 12:15

Triggered by the enormous advancements in the fields of Natural Language Processing and Computer Vision, researchers have recently started to develop increasingly advanced deep learning methods for tabular data and time series.In this talk we traverse the most promising papers of the past 3 years, and uncover some uncomfortable truths. In practice, complex models don’t perform better than simple ones. Most novel architectures, even those published by well-known tech companies, often don’t transfer well to the real world.Halfway into 2022, what have we learned at the intersection of research and applied machine learning? What should the community focus on next? Which models should you use if you want to get the most out of your structured data?

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Behind the Tracks