[Moller] [Jlab-scicomp-briefs] AI Lunch Series: 12-1PM, Wednesday, July 22, 2020

[Bryan Hess]

The AI Lunch Series will be hosting Robert Geirhos (International Max Planck Research School for Intelligent Systems) this Wednesday for a presentation on “Neural Networks Love to Cheat: Shortcut Learning in Deep Learning and Beyond”. Additional information can be found at: https://www.jlab.org/AI/lunch_series/2020

12-1PM, Wednesday, July 22, 2020
Join with Bluejeans: https://bluejeans.com/707697867

Abstract: "Deep learning has triggered the current rise of artificial intelligence and is the workhorse of today's machine intelligence. Numerous success stories have rapidly spread all over science, industry and society, but its limitations have only recently come into focus. In this talk I will seek to distill how many of deep learning's problem can be seen as different symptoms of the same underlying problem: shortcut learning. Shortcuts are decision rules that perform well on standard benchmarks but fail to transfer to more challenging testing conditions, such as real-world scenarios. Related issues are known in Comparative Psychology and Education, suggesting that shortcut learning may be a common characteristic of learning systems, biological and artificial alike. Based on these observations, I propose a set of recommendations for model interpretation and benchmarking."

If you have questions, contact tennant at jlab.org.
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