Abstract: Driven by recent technological advancements within the field of artificial intelligence (AI), deep learning (DL) has been emerged as a promising representation learning technique across ...
Official implementation of the SAM-GS optimizer for multitask learning ArxIv Comparison of different MTL methods for 20000 steps.\ Top row: The loss trajectories of different MTL methods in the loss ...
President Donald Trump swept into power earlier this year and almost immediately began using his bully pulpit — and the federal government’s leverage, in the form of massive amounts of funding for ...
Pathophysiology Department, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China Tianjian Laboratory of Advanced Biomedical Sciences, Zhengzhou University, Zhengzhou, Henan ...
Reinforcement Learning (RL) is a learning paradigm to solve many decision-making problems, which are usually formalized as Markov Decision Processes (MDP). Recently, Deep Reinforcement Learning (DRL) ...
ABSTRACT: Thoracic diseases pose significant risks to an individual's chest health and are among the most perilous medical diseases. They can impact either one or both lungs, which leads to a severe ...
1 Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia. 2 Department of Information System, College of Computer and Information ...
The quality of tongue images has a significant influence on the performance of tongue diagnosis in Chinese medicine. During the acquisition process, the quality of the tongue image is easily affected ...
There is significant interest and importance to develop robust machine learning models to assist organic chemistry synthesis. Typically, task-specific machine learning models for distinct reaction ...
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