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Shortcut Learning in Deep Neural Networks

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jörn jacobsen: A growing body of work focuses on striking differences between current ML models and biological intelligence. We review the literature and argue that many of the most iconic failures can be understood as a consequence of the same underlying principle: “shortcut learning” https://t.co/HxIJ9NDlGh

7 replies, 607 likes


Melanie Mitchell: Love this example of "unintended cue learning" from https://arxiv.org/pdf/2004.07780.pdf https://t.co/mJIoV1KiNs

9 replies, 307 likes


hardmaru: Shortcut Learning in Deep Neural Networks Humans also take shortcuts and cheat in life when we can get away with it. Interesting they mention that ways to overcome shortcut learning for artificial agents might apply to closing loopholes in human systems. https://arxiv.org/abs/2004.07780

2 replies, 125 likes


Wieland Brendel: It is becoming ever more clear that machines use all kinds of shortcuts to solve given tasks, leading to a large range of unexpected behaviours. In https://arxiv.org/abs/2004.07780 we give a thorough overview over this phenomenon & current attempts to overcome shortcut learning.

0 replies, 45 likes


Ankur Handa: A fun read on various shortcomings in deep neural networks (perhaps well known by now) which they call as "shortcut learning". https://arxiv.org/abs/2004.07780 The example on rat navigation was interesting to me. https://t.co/nh8uwVClZi

2 replies, 27 likes


Melanie Mitchell: . @bethgelab is doing some of the most interesting work around in understanding deep learning systems.

0 replies, 7 likes


arXiv CS-CV: Shortcut Learning in Deep Neural Networks http://arxiv.org/abs/2004.07780

0 replies, 6 likes


arXiv CS-CV: Shortcut Learning in Deep Neural Networks http://arxiv.org/abs/2004.07780

0 replies, 3 likes


Ken Brucker: Those tricky rats! Also shows how challenging it can be to test the target variable.

0 replies, 1 likes


Content

Found on Apr 17 2020 at https://arxiv.org/pdf/2004.07780.pdf

PDF content of a computer science paper: Shortcut Learning in Deep Neural Networks