Results 51 to 60 of about 21,063 (212)

Aortic KD former: aortic multiclass segmentation using SegFormer via knowledge distillation

Machine Learning: Science and Technology
In this paper, we investigate the effectiveness of knowledge distillation for semantic segmentation of aortic structures using deep learning models. We employ SegFormer B5 as the teacher model and SegFormer B0 as the student model. Knowledge distillation
Nancy Mohamed Soliman, Medhat Awadalla, Mohamed Elhelw, Mustafa Elattar   +3 more
doaj   +1 more source

Application of Decoupled Knowledge Distillation Method in Document-level RelationExtraction [PDF]

Jisuanji kexue
Document-level relation extraction is an important research direction in the field of natural language processing,aiming to extract semantic relationships between entities from unstructured or semi-structured natural language documents.This paper ...
LIU Le, XIAO Rong, YANG Xiao
doaj   +1 more source

Mesenchymal Stromal Cell‐Mediated Intercellular Communication: Mapping the Interactome for Skeletal Muscle Homeostasis and Regeneration

Advanced Science, EarlyView.
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu, Edgar E. Perez Carbajal, Yih‐Chii Hwang, Sahil A. Mapkar, Benjamin W. Gilman, Sarah A. Bliss, Lam B. Tran, Kalgi T. Mehta, Jacob O. Banyasz, Ming Yu, Reynold R. Liu, Matthew N. Ly, Christapher S. Morrissey, Michael N. Wosczyna   +13 more
wiley   +1 more source

Multistage feature fusion knowledge distillation

Scientific Reports
Generally, the recognition performance of lightweight models is often lower than that of large models. Knowledge distillation, by teaching a student model using a teacher model, can further enhance the recognition accuracy of lightweight models.
Gang Li, Kun Wang, Pengfei Lv, Pan He, Zheng Zhou, Chuanyun Xu   +5 more
doaj   +1 more source

A Review of Knowledge Distillation Technology from an Intellectual Property Law Perspective

Journal of Intellectual Property
The emergence of the innovative AI model DeepSeek, a low-cost and high-efficiency model, is having a significant impact on the global AI industry. By utilizing technologies such as the Mixture of Experts, FP8, and Knowledge Distillation, DeepSeek has ...
Myoungseob Mun
doaj   +1 more source

ERK‐Mediated Phosphorylation of YAP Defines a Noncanonical FGF Signaling Mechanism in Stem Cells

Advanced Science, EarlyView.
With a powerful combination of in vivo, ex vivo, and in vitro models, the authors highlight a novel FGF‐ERK signaling regulation of YAP at the S128 site in neural crest‐derived stem cells. This study opens exciting new directions in stem cell biology and craniofacial biology, paving the way for potential innovations in the treatment of craniofacial ...
Xiaolei Zhao, Shannon Erhardt, Li Tang, Xiaotong Chen, Stephen M Farmer, Zixiu Cheng, Wen Chen, Ella Ziyuan Lu, Kihan Sung, Chang‐Ru Tsai, Mingjie Zheng, Sheng Zhang, Yang Liu, Jianxin Wang, Min Li, James F Martin, Jun Wang   +16 more
wiley   +1 more source

In Vivo Microplastic Detection With Photoacoustic Imaging

Advanced Science, EarlyView.
ABSTRACT Microplastics are posing an escalating threat to both ecological systems and human health. Yet, current methods for investigating their bioaccumulation are highly invasive, requiring destructive analysis of ex vivo tissues via mass spectrometry, dye labelling, or Raman microspectroscopy.
Joseph C. Bear, Olumide Ogunlade, Jayvian Mavi, Emily J. Deniszczyc, Daolong Chen, Heeva Javaheri, Paul Beard, Mark F. Lythgoe, Daniel J. Stuckey, P. Stephen Patrick   +9 more
wiley   +1 more source

A survey on knowledge distillation: Recent advancements

Machine Learning with Applications
Deep learning has achieved notable success across academia, medicine, and industry. Its ability to identify complex patterns in large-scale data and to manage millions of parameters has made it highly advantageous. However, deploying deep learning models
Amir Moslemi, Anna Briskina, Zubeka Dang, Jason Li   +3 more
doaj   +1 more source

Electroacupuncture Improves the Learning and Memory by Modulating Hippocampal Glucose Metabolism through IGF1/IGF1R Signaling in Alzheimer's Disease

Advanced Science, EarlyView.
Electroacupuncture (EA) ameliorates learning and memory function in 5×FAD mice by regulating the brain glucose metabolic network. This neuroprotective effect is closely related to enhancing neuronal energy utilization via the IGF1/IGF1R signaling pathway.
Shengxiang Liang, Qingqing Zhang, Xiuxiu Wang, Lixin Peng, Xinru Ji, Jiawei Wang, Yusi Zhang, Jiayang Huang, Junchao Yang, Shiqi Zhan, Yiping Xiao, Weilin Liu, Lidian Chen   +12 more
wiley   +1 more source

Genome‐Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma

Advanced Science, EarlyView.
A genome‐wide microRNA CRISPR screen identifies miR‐18a as a master regulator of cross‐resistance in melanoma. Loss of miR‐18a activates the AJUBA–YAP/Hippo axis to confer BRAFi resistance and enhances THBS1–CD47 interaction to impair CD8+ T cell immunity. hnRNP A1 is identified as an upstream regulator of miR‐18a processing.
Zhao Wang, Haotian Liu, Xueqi Wang, Jianjin Teng, Zihan Zheng, Jingya Zhang, Wanyi Xiao, Qian Liang, Jiaxin Li, Xiaomeng Jia, Xin Feng, Hongzhang Cui, Menghan Luo, Tielong Yang, Liuxing Wu, Ke Zhao, Weilong Yang, Mulin Jun Li, Dandan Huang, Jilong Yang   +19 more
wiley   +1 more source