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	An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-training 期刊论文 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2025 作者: Gao, Jin; Lin, Shubo; Wang, Shaoru; Kou, Yutong; Li, Zeming Adobe PDF(3950Kb) \| 收藏 \| 浏览/下载：213/2 \| 提交时间：2024/05/15 Masked image modeling Vision transformers Lightweight networks Knowledge distillation Visual tracking Image representation Machine vision Photointerpretation Vision Down-stream Fine tuning Image modeling Lightweight network Performance Pre-training Vision transformer Visual Tracking
	Distillation of multi-class cervical lesion cell detection via synthesis-aided pre-training and patch-level feature alignment 期刊论文 NEURAL NETWORKS, 2024, 卷号: 178 作者: Fei, Manman; Shen, Zhenrong; Song, Zhiyun; Wang, Xin; Cao, Maosong Adobe PDF(3396Kb) \| 收藏 \| 浏览/下载：296/8 \| 提交时间：2024/06/07 Cells Classification (of information) Cytology Distillation Feature extraction Image processing Network architecture Automated detection Cell detection Cervical lesion cell detection Cervical lesions Detection networks Feature alignment Images synthesis Knowledge distillation Pre-training Training model
	Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training 期刊论文 IEEE PHOTONICS JOURNAL, 2024, 卷号: 16, 期号: 5 作者: Shengjie Tang; Cheng Chen; Qi Qin; Xiaoping Liu Adobe PDF(7808Kb) \| 收藏 \| 浏览/下载：357/15 \| 提交时间：2024/09/18 Image coding Network coding Neural networks Photonic devices Reconfigurable hardware Decision boundary Encoding strategy Hybrid Encoding In-situ training Integrated photonics Neural-networks Performance Phase-encoding Photonic unitary neural network Reconfigurable
	Fast Design of Multi-Beam Metasurface Antennas Using Generative Machine Learning 会议论文 2024 IEEE 12TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP), Nanjing, China, 22-25 Sept. 2024 作者: Xi Chong You; Feng Han Lin Adobe PDF(4669Kb) \| 收藏 \| 浏览/下载：40/2 \| 提交时间：2025/03/03 Contrastive Learning Deep learning Federated learning Accelerated design Aided designs Fast designs Learning network Machine-learning Metasurface Multibeams Single-beam Training dataset Unit cells
	GNNDrive: Reducing Memory Contention and I/O Congestion for Disk-based GNN Training 会议论文 ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, Gotland, Sweden, August 12, 2024 - August 15, 2024 作者: Jiang, Qisheng; Jia, Lei; Wang, Chundong Adobe PDF(1831Kb) \| 收藏 \| 浏览/下载：315/3 \| 提交时间：2024/09/20 Buffer storage Memory management Network theory (graphs) Asynchronous I/O Disk-based Disk-based training Graph neural networks Higher dimensional features I/O congestion Large graphs Memory contentions Neural networks trainings State of the art
	Deep learning-assisted preclinical MR fingerprinting for sub-millimeter T1 and T2 mapping of entire macaque brain 期刊论文 MAGNETIC RESONANCE IN MEDICINE, 2024, 卷号: 91, 期号: 3, 页码: 1149-1164 作者: Gu, Yuning; Pan, Yongsheng; Fang, Zhenghan; Ma, Lei; Zhu, Yuran Adobe PDF(6790Kb) \| 收藏 \| 浏览/下载：258/3 \| 提交时间：2024/01/19 Brain mapping Deep learning Image resolution Magnetorheological fluids Singular value decomposition Acquisition time Deep learning Macaque brain MR fingerprinting MR relaxometry Network training Relaxometry Residual U-net Submillimetre Under-sampling
	ADVERSARIAL ADAPTIVE SAMPLING: UNIFY PINN AND OPTIMAL TRANSPORT FOR THE APPROXIMATION OF PDES 会议论文 12TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2024, Hybrid, Vienna, Austria, May 7, 2024 - May 11, 2024 作者: Tang, Kejun; Zhai, Jiayu; Wan, Xiaoliang Adobe PDF(2710Kb) \| 收藏 \| 浏览/下载：183/1 \| 提交时间：2024/08/23 Random errors Adaptive sampling Generative model High-dimensional problems Higher-dimensional problems Mesh-less discretization Neural network model Neural-network approximations Optimal transport Random sample Training sets
	UNDERSTANDING CONVERGENCE AND GENERALIZATION IN FEDERATED LEARNING THROUGH FEATURE LEARNING THEORY 会议论文 12TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2024, Hybrid, Vienna, Austria, May 7, 2024 - May 11, 2024 作者: Huang, Wei; Shi, Ye; Cai, Zhongyi; Suzuki, Taiji 收藏 \| 浏览/下载：256/0 \| 提交时间：2024/08/23 Convolutional neural networks Machine learning Multilayer neural networks Network layers Privacy-preserving techniques Convergence properties Distributed learning Empirical research Feature learning Generalisation Learning Theory Local training Multiple clients Privacy preserving Test errors
	A Speed- and Energy-Driven Holistic Training Framework for Sparse CNN Accelerators 会议论文 2023 DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE (DATE), Antwerp, Belgium, April 17, 2023 - April 19, 2023 作者: Yuanchen Qu; Yu Ma; Pingqiang Zhou Adobe PDF(3175Kb) \| 收藏 \| 浏览/下载：283/2 \| 提交时间：2023/03/14 CNN Accelerator, Training, Activation Map Sparsification, Energy Consumption, Processing Speed Chemical activation Low power electronics Activation map sparsification Activation maps Consumption cycles Convolution neural network Convolution neural network accelerator Energy processing Energy-consumption Processing speed Sparsification Training process
	Future Frame Prediction Network for Video Anomaly Detection 期刊论文 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 11 作者: Weixin Luo; Wen Liu; Dongze Lian; Shenghua Gao Adobe PDF(3668Kb) \| 收藏 \| 浏览/下载：592/0 \| 提交时间：2021/12/17 Computer vision Graph neural networks Anomaly detection Graph neural networks Metalearning Minimisation Normal events Prediction network Reconstruction error Training data Video anomaly detection Video prediction

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