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[Discussion] What is the status of the “Information Bottleneck Theory of Deep Learning”?

I am aware of the recent ICLR paper which tried to debunk some of the key claims in the general case. But the IB theory authors came back with a (rude) rebuttal on OpenReview with new experiments to show that it holds in the general case. I could not understand how valid they were from the author’s response to it.

The theory is complex with a lot of moving parts. I will be spending a lot of time on this if I go ahead and I also imagine there are few more people in similar position. Before that I wanted to check here if anyone relatively more experienced had a critical review of it (however brief). Is IB theory a promising or misdirected approach?

submitted by /u/metacurse
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.