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Found 3 papers, 1 papers with code
On original and latent space connectivity in deep neural networks
We study whether inputs from the same class can be connected by a continuous path, in original or latent representation space, such that all points on the path are mapped by the neural network model to the same class.
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
Therefore, this review aims to provide a detailed overview of the development and deployment of LLMs in medicine, including the challenges and opportunities they face.
Reinforcement Learning Approach for Multi-Agent Flexible Scheduling Problems
Scheduling plays an important role in automated production.
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