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of 870
pro vyhledávání: '"Jie, Jing"'
In offline Imitation Learning (IL), one of the main challenges is the \textit{covariate shift} between the expert observations and the actual distribution encountered by the agent, because it is difficult to determine what action an agent should take
Externí odkaz:
http://arxiv.org/abs/2406.12550
Contrastive Language-Image Pre-training (CLIP) provides a foundation model by integrating natural language into visual concepts, enabling zero-shot recognition on downstream tasks. It is usually expected that satisfactory overall accuracy can be achi
Externí odkaz:
http://arxiv.org/abs/2310.03324
The fine-tuning paradigm in addressing long-tail learning tasks has sparked significant interest since the emergence of foundation models. Nonetheless, how fine-tuning impacts performance in long-tail learning was not explicitly quantified. In this p
Externí odkaz:
http://arxiv.org/abs/2309.10019
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-12 (2024)
Abstract Aim To investigate the level of compassion fatigue among frontline nurses during the COVID-19 pandemic and to explore the relationship between occupational stressors and compassion fatigue among frontline nurses based on structural equation
Externí odkaz:
https://doaj.org/article/eaa3cbf52b44449bbfb29e50b6c0f4b5
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Audio-visual event localization (AVEL) task aims to judge and classify an audible and visible event. Existing methods devote to this goal by transferring pre-trained knowledge as well as understanding temporal dependencies and cross-modal co
Externí odkaz:
https://doaj.org/article/42edcdd0ac674b15bddd72bde5ed2c98
In AI, generalization refers to a model's ability to perform well on out-of-distribution data related to the given task, beyond the data it was trained on. For an AI agent to excel, it must also possess the continual learning capability, whereby an a
Externí odkaz:
http://arxiv.org/abs/2211.11174
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-19 (2024)
Abstract The use of anticoagulants has become more frequent due to the progressive aging population and increased thromboembolic events. Consequently, the proportion of anticoagulant-associated intracerebral hemorrhage (AAICH) in stroke patients is g
Externí odkaz:
https://doaj.org/article/47de350aa34c41679e1b15defdb681ce
Publikováno v:
In Engineering Failure Analysis November 2024 165
Publikováno v:
In Journal of Building Engineering 15 October 2024 95
Publikováno v:
In Biomedicine & Pharmacotherapy October 2024 179