MDA: An intelligent medical data augmentation scheme based on medical knowledge graph for Chinese medical tasks
B Shi, L Zhang, J Huang, H Zheng, J Wan, L Zhang - Applied Sciences, 2022 - mdpi.com
Text data augmentation is essential in the field of medicine for the tasks of natural language
processing (NLP). However, most of the traditional text data augmentation focuses on the …
processing (NLP). However, most of the traditional text data augmentation focuses on the …
Eye of the beholder: Improved relation generalization for text-based reinforcement learning agents
K Murugesan, S Chaudhury… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
Text-based games (TBGs) have become a popular proving ground for the demonstration of
learning-based agents that make decisions in quasi real-world settings. The crux of the …
learning-based agents that make decisions in quasi real-world settings. The crux of the …
Symbolic Reasoning in Latent Space: Classical Planning as an Example
Symbolic systems require hand-coded symbolic representation as input, resulting in a
knowledge acquisition bottleneck. Meanwhile, although deep learning has achieved …
knowledge acquisition bottleneck. Meanwhile, although deep learning has achieved …
Generating Plannable Lifted Action Models for Visually Generated Logical Predicates
M Asai - openreview.net
We propose FOSAE++, an unsupervised end-to-end neural system that generates a
compact discrete state transition model (dynamics/action model) from raw visual …
compact discrete state transition model (dynamics/action model) from raw visual …