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Found 4 papers, 1 papers with code
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport
Recently, Neural Topic Models (NTM), inspired by variational autoencoders, have attracted a lot of research interest; however, these methods have limited applications in the real world due to the challenge of incorporating human knowledge.
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FFPDG: Fast, Fair and Private Data Generation
Generative modeling has been used frequently in synthetic data generation.
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Given this observation, we devised a graph-inspired deep learning approach toward the sensor-based HAR tasks, which was further used to build a deep transfer learning model toward giving a tentative solution for these two challenging problems.
Knowledge Graph semantic enhancement of input data for improving AI
Intelligent systems designed using machine learning algorithms require a large number of labeled data.
