EWE
发表于 2025-3-30 11:37:23
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decipher
发表于 2025-3-30 12:45:28
Mysteries of the Uterine Cavity-dimensional nature, it requires substantial storage resources. If only one MRI slice were to be used, a significant amount of information might be lost. To address these issues, we propose segmenting 3D MRI data and training these slices separately. We propose a new Multi-view Learning neural netwo
seduce
发表于 2025-3-30 18:51:11
Human Reproduction: Religious Perspectivesprevalent strategy involves incorporating domain knowledge graphs using Graph Neural Networks (GNNs) to augment the performance of pre-trained language models. However, this approach primarily focuses on individual nodes and fails to leverage the extensive relational information present within the g
鉴赏家
发表于 2025-3-30 20:50:24
Clinical Management of Male Infertilityive models from scratch is very expensive and requires large computational resources. In this paper, we introduce StyleAutoEncoder (StyleAE), a lightweight AutoEncoder module, which works as a plugin for pre-trained generative models and allows for manipulating the requested attributes of images. Th
没收
发表于 2025-3-31 00:57:22
https://doi.org/10.1007/978-1-4613-3813-0intra- and inter-classes. Although extensive prior work has explored diverse metric functions and innovative training strategies, much of this work relies on default training data. Consequently, the potential variations inherent within this data remain largely unexplored, constraining the model’s ro
Stress
发表于 2025-3-31 07:07:17
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剧本
发表于 2025-3-31 11:44:06
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著名
发表于 2025-3-31 15:35:40
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xanthelasma
发表于 2025-3-31 20:28:41
Radionuclide studies in malignant melanoma,anguage models lack. In this work, we present the LongStory for coherent, complete, and length-controlled long story generation. LongStory introduces two novel methodologies: (1) the long and short-term contexts weight calibrator (CWC) and (2) long story structural positions (LSP). The CWC adjusts w
definition
发表于 2025-4-1 01:33:13
https://doi.org/10.1007/978-1-4899-4523-5wever, KD has a disadvantage where a pre-trained teacher model is required, which can lead to training inefficiency. Therefore, self-knowledge distillation, enhancing the student by itself, has been proposed. Although self-knowledge distillation shows remarkable performance improvement with fewer re