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[D] Self-citation issue

I just stumbled upon a paper https://openreview.net/forum?id=HylxE1HKwS / https://arxiv.org/abs/1908.09791 with quite an interesting idea of training a single deep network that can be deployed at many efficiency configurations. But, what’s more “interesting” is the amount of self-citations in the paper. Seven of the cited publications had the third author’s name (which I assume is the PI). I feel that it is excessive. Correct me if I’m wrong. And the fact that this paper is heavily self-citing but isn’t acknowledging existing research that pursued similar direction (e.g., AuxNet, BranchyNet, IDK Cascades, Stochastic Downsampling, Anytime Neural Networks) is worrying.

What do you think of the self-citation trend (if there’s any at all) in machine learning research?

submitted by /u/TreeNetworks
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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.