Multimodal knowledge graph for deep learning papers and code
AV Kannan, D Fradkin, I Akrotirianakis… - Proceedings of the 29th …, 2020 - dl.acm.org
Keeping up with the rapid growth of Deep Learning (DL) research is a daunting task. While
existing scientific literature search systems provide text search capabilities and can identify …
existing scientific literature search systems provide text search capabilities and can identify …
CICHMKG: a large-scale and comprehensive Chinese intangible cultural heritage multimodal knowledge graph
Abstract Intangible Cultural Heritage (ICH) witnesses human creativity and wisdom in long
histories, composed of a variety of immaterial manifestations. The rapid development of …
histories, composed of a variety of immaterial manifestations. The rapid development of …
Ocr-vqgan: Taming text-within-image generation
Synthetic image generation has recently experienced significant improvements in domains
such as natural image or art generation. However, the problem of figure and diagram …
such as natural image or art generation. However, the problem of figure and diagram …
Number and quality of diagrams in scholarly publications is associated with number of citations
Diagrams are often used in scholarly communication. We analyse a corpus of diagrams
found in scholarly computational linguistics conference proceedings (ACL 2017), and find …
found in scholarly computational linguistics conference proceedings (ACL 2017), and find …
Automatic data extraction based on semiconductor datasheet for design automation of power converters
The application of artificial intelligence (AI) to design automation (DA) is a novel research
area in power electronics, owing to the complexity of power converter design, power loss …
area in power electronics, owing to the complexity of power converter design, power loss …
[PDF][PDF] Knowledge engineering in the age of neurosymbolic systems
The field of knowledge engineering is experiencing a substantial impact from the rapid
growth and widespread adoption of Neurosymbolic Systems (NeSys). In this paper, we …
growth and widespread adoption of Neurosymbolic Systems (NeSys). In this paper, we …
[PDF][PDF] Academic Paper Knowledge Graph, the Construction and Application.
X Du, N Li - ICBASE, 2022 - ceur-ws.org
Academic papers in the form of documents are still the primary carrier of academic
publications. Nevertheless, it is difficult for such documents to express the papers' semantic …
publications. Nevertheless, it is difficult for such documents to express the papers' semantic …
[图书][B] An investigation into the scholarly usage of neural network systems diagrams
GC Marshall - 2022 - search.proquest.com
Neural networks (NNs) are often used as part of systems applied in domains such as
Computer Vision or Natural Language Processing (NLP), and diagrams are a prevalent way …
Computer Vision or Natural Language Processing (NLP), and diagrams are a prevalent way …
A Framework for Improving Scholarly Neural Network Diagrams
Neural networks are a prevalent and effective machine learning component, and their
application is leading to significant scientific progress in many domains. As the field of …
application is leading to significant scientific progress in many domains. As the field of …