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>> I'm not going to comment on the actual content that is mostly [1] scientifically correct, but Schmidhuber (the author) has a record of wanting to be the center of attention [2] (even though LeCun is not better on that matter). You_again wants his work and that of others properly recognised. For example, his article, titled Critique of Paper by "Deep Learning Conspiracy" (Nature 521 p 436) [1] that is referenced by your link to wikipedia, cites a couple dozen pioneers of deep learning, quite apart from Schmidhuber hismelf. Quoting from it: >> 2. LBH discuss the importance and problems of gradient descent-based learning through backpropagation (BP), and cite their own papers on BP, plus a few others, but fail to mention BP's inventors. BP's continuous form was derived in the early 1960s (Bryson, 1961; Kelley, 1960; Bryson and Ho, 1969). Dreyfus (1962) published the elegant derivation of BP based on the chain rule only. BP's modern efficient version for discrete sparse networks (including FORTRAN code) was published by Linnainmaa (1970). Dreyfus (1973) used BP to change weights of controllers in proportion to such gradients. By 1980, automatic differentiation could derive BP for any differentiable graph (Speelpenning, 1980). Werbos (1982) published the first application of BP to NNs, extending thoughts in his 1974 thesis (cited by LBH), which did not have Linnainmaa's (1970) modern, efficient form of BP. BP for NNs on computers 10,000 times faster per Dollar than those of the 1960s can yield useful internal representations, as shown by Rumelhart et al. (1986), who also did not cite BP's inventors. That is not "wanting to be the center of attention". It is very much asking for proper attribution of research results. Failing to do so is a scientific scandal, especially when the work cited has contributed towards a Turing award. __________ [1] https://people.idsia.ch/~juergen/deep-learning-conspiracy.ht... |