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Aditya Ahuja
Researcher at Birla Institute of Technology and Science
Publications - 3
Citations - 10
Aditya Ahuja is an academic researcher from Birla Institute of Technology and Science. The author has contributed to research in topics: Domain knowledge & Domain (software engineering). The author has an hindex of 2, co-authored 3 publications receiving 9 citations.
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Incorporating Domain Knowledge into Deep Neural Networks.
TL;DR: Two broad approaches to encode domain-knowledge–as logical and numerical constraints–are examined and techniques and results obtained in several subcategories under each of these approaches are described.
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How to Tell Deep Neural Networks What We Know.
TL;DR: In this article, the authors present a short survey of ways in which existing scientific knowledge is included when constructing models with neural networks and examine the inclusion of domain-knowledge by means of changes to: the input, the loss-function, and the architecture of deep networks.
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How to Tell Deep Neural Networks What We Know: A Review of Methods for Inclusion of Domain-Knowledge
TL;DR: In this article, the authors present a short survey of ways in which existing scientific knowledge is included when constructing models with neural networks and examine the inclusion of domain-knowledge by means of changes to: the input, the loss-function, and the architecture of deep networks.