Graph neural network: A comprehensive review on non-euclidean space
This review provides a comprehensive overview of the state-of-the-art methods of graph-
based networks from a deep learning perspective. Graph networks provide a generalized …
based networks from a deep learning perspective. Graph networks provide a generalized …
Defining digital fashion: Reshaping the field via a systematic review
The field of digital fashion is rapidly evolving, yet what constitutes digital fashion, and how it
should be defined has not been firmly established. This study aims to conceptualize and …
should be defined has not been firmly established. This study aims to conceptualize and …
A survey on text classification: From traditional to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
A survey on text classification: From shallow to deep learning
Text classification is the most fundamental and essential task in natural language
processing. The last decade has seen a surge of research in this area due to the …
processing. The last decade has seen a surge of research in this area due to the …
[PDF][PDF] Neural transfer learning for natural language processing
S Ruder - 2019 - aran.library.nuigalway.ie
Language is often regarded as the hallmark of human intelligence. Developing systems that
can understand human language is thus one of the main obstacles on the quest towards …
can understand human language is thus one of the main obstacles on the quest towards …
A survey of transfer learning for convolutional neural networks
R Ribani, M Marengoni - 2019 32nd SIBGRAPI conference on …, 2019 - ieeexplore.ieee.org
Transfer learning is an emerging topic that may drive the success of machine learning in
research and industry. The lack of data on specific tasks is one of the main reasons to use it …
research and industry. The lack of data on specific tasks is one of the main reasons to use it …
[图书][B] Lifelong machine learning
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine
learning paradigm that continuously learns by accumulating past knowledge that it then …
learning paradigm that continuously learns by accumulating past knowledge that it then …
Attention models in graphs: A survey
Graph-structured data arise naturally in many different application domains. By representing
data as graphs, we can capture entities (ie, nodes) as well as their relationships (ie, edges) …
data as graphs, we can capture entities (ie, nodes) as well as their relationships (ie, edges) …
Transfer learning using computational intelligence: A survey
Transfer learning aims to provide a framework to utilize previously-acquired knowledge to
solve new but similar problems much more quickly and effectively. In contrast to classical …
solve new but similar problems much more quickly and effectively. In contrast to classical …