Misconduct in Post-Selections and Deep Learning

arXiv:2403.00773v1 Announce Type: new
Abstract: This is a theoretical paper on "Deep Learning" misconduct in particular and Post-Selection in general. As far as the author knows, the first peer-reviewed papers on Deep Learning misconduct are [32], [37], [36]. Regardless of learning modes, e.g., supervised, reinforcement, adversarial, and evolutional, almost all machine learning methods (except for a few methods that train a sole system) are rooted in the same misconduct -- cheating and hiding -- (1) cheating in the absence of …

abstract adversarial arxiv author cs.lg deep learning general machine machine learning paper papers peer reinforcement type