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pro vyhledávání: '"Weng, Juyang"'
Autor:
Weng, Juyang
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., su
Externí odkaz:
http://arxiv.org/abs/2403.00773
Autor:
Weng, Juyang
This is a theoretical paper, as a companion paper of the plenary talk for the same conference ISAIC 2022. In contrast to the author's plenary talk in the same conference, conscious learning (Weng, 2022b; Weng, 2022c) which develops a single network f
Externí odkaz:
http://arxiv.org/abs/2211.16350
Autor:
Weng, Juyang
This is a theoretical paper, as a companion paper of the keynote talk at the same conference AIEE 2023. In contrast to conscious learning, many projects in AI have employed so-called "deep learning" many of which seemed to give impressive performance
Externí odkaz:
http://arxiv.org/abs/2208.11228
Strong AI requires the learning engine to be task non-specific and to automatically construct a dynamic hierarchy of internal features. By hierarchy, we mean, e.g., short road edges and short bush edges amount to intermediate features of landmarks; b
Externí odkaz:
http://arxiv.org/abs/2208.06279
Autor:
Weng, Juyang
Neural network based Artificial Intelligence (AI) has reported increasing scales in experiments. However, this paper raises a rarely reported stage in such experiments called Post-Selection alter the reader to several possible protocol flaws that may
Externí odkaz:
http://arxiv.org/abs/2106.13233
Autor:
Weng, Juyang
Universal Turing Machines [29, 10, 18] are well known in computer science but they are about manual programming for general purposes. Although human children perform conscious learning (i.e., learning while being conscious) from infancy [24, 23, 14,
Externí odkaz:
http://arxiv.org/abs/2007.00001
Autor:
Weng, Juyang
The Universal Turing Machine (TM) is a model for VonNeumann computers --- general-purpose computers. A human brain can inside-skull-automatically learn a universal TM so that he acts as a general-purpose computer and writes a computer program for any
Externí odkaz:
http://arxiv.org/abs/1810.05764
Autor:
Wu, Xiang, Weng, Juyang
Publikováno v:
In Neural Networks November 2021 143:28-41
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