Výsledky vyhľadávania - "Model compression algorithms"

Lightweight defect detection algorithm of tunnel lining based on knowledge distillation Autor Zhu, Anfu, Xie, Jiaxiao, Wang, Bin, Guo, Heng, Guo, Zilong, Wang, Jie, Xu, Lei, Zhu, SiXin, Yang, Zhanping

“…Due to the influence of construction quality, engineering geology and hydrological environment, defects such as dehollowing and insufficient compaction can…”
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Co-designing Model Compression Algorithms and Hardware Accelerators for Efficient Deep Learning Autor Zhao, Ritchie

“…Over the past decade, machine learning (ML) with deep neural networks (DNNs) has become extremely successful in a variety of application domains including…”
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A Novel Deep Learning Model Compression Algorithm Autor Zhao, Ming, Li, Meng, Peng, Sheng-Lung, Li, Jie

“…In order to solve the problem of large model computing power consumption, this paper proposes a novel model compression algorithm…”
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Model Compression Algorithm via Reinforcement Learning and Knowledge Distillation Autor Liu, Botao, Hu, Bing-Bing, Zhao, Ming, Peng, Sheng-Lung, Chang, Jou-Ming

“…Traditional model compression techniques are dependent on handcrafted features and require domain experts, with a tradeoff between model size, speed, and…”
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Smart Network Maintenance in an Edge Cloud Computing Environment: An Adaptive Model Compression Algorithm Based on Model Pruning and Model Clustering Autor Rui, Lanlan, Yang, Siqi, Chen, Shiyou, Yang, Yang, Gao, Zhipeng

“… Therefore, we propose a model compression algorithm based on model pruning and model clustering in smart network maintenance…”
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Data-Aware Adaptive Pruning Model Compression Algorithm Based on a Group Attention Mechanism and Reinforcement Learning Autor Yang, Zhi, Zhai, Yuan, Xiang, Yi, Wu, Jianquan, Shi, Jinliang, Wu, Ying

“…The success of convolutional neural networks (CNNs) benefits from the stacking of convolutional layers, which improves the model's receptive field for image…”
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Comments and Corrections Correction to "Data-Aware Adaptive Pruning Model Compression Algorithm Based on a Group Attention Mechanism and Reinforcement Learning" Autor Yang, Zhi, Zhai, Yuan, Xiang, Yi, Wu, Jianquan, Shi, Jinliang, Wu, Ying

“…In the above article <xref ref-type="bibr" rid="ref1">[1] , unfortunately, we had missed grant number CQYC20200309237 of the funding organization Chongqing…”
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RamanCMP: A Raman spectral classification acceleration method based on lightweight model and model compression techniques Autor Gong, Zengyun, Chen, Chen, Chen, Cheng, Li, Chenxi, Tian, Xuecong, Gong, Zhongcheng, Lv, Xiaoyi

“… However, there is still room for optimization of deep learning techniques and model compression algorithms for processing Raman spectral data…”
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Codeword Decomposition and Recoding Based Lossless Model Compression Algorithm and Its VLSI Decompressor Design Autor Ho, Lyu-Ming, Liang, Chih-Yao, Huang, Juinn-Dar

“… This work presents a new hardware-friendly, lossless model compression algorithm and its VLSI decompressor design to address the issue of limited memory resources…”
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Exploring the 3D architectures of deep material network in data-driven multiscale mechanics Autor Liu, Zeliang, Wu, C.T.

“…This paper extends the deep material network (DMN) proposed by Liu et al. (2019) to tackle general 3-dimensional (3D) problems with arbitrary material and…”
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Surface Defect Segmentation Algorithm of Steel Plate Based on Geometric Median Filter Pruning Autor Hao, Zhiqiang, Wang, Zhigang, Bai, Dongxu, Tong, Xiliang

“… This paper focuses on the analysis of different existing deep learning model compression algorithms and proposes a model pruning algorithm based on geometric median filtering for structured pruning…”
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Context-Aware Proactive Edge Caching for Vehicular Edge Computing Based on Asynchronous Federated Learning Autor Liao, Zhuofan, Liu, Pang, Zheng, Bin, Tang, XiaoYong

“…Edge caching is a promising technique for effectively reducing backhaul pressure and content access latency in the Internet of Vehicles (IoV). The existing…”
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Structured Bayesian Compression for Deep Neural Networks Based on the Turbo-VBI Approach Autor Xia, Chengyu, Tsang, Danny H. K., Lau, Vincent K. N.

“…With the growth of neural network size, model compression has attracted increasing interest in recent research. As one of the most common techniques, pruning…”
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Model Compression Using Optimal Transport Autor Lohit, Suhas, Jones, Michael

“… Knowledge distillation is a class of model compression algorithms where knowledge from a large teacher network is transferred to a smaller student network thereby improving the student's performance…”
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Combine-Net: An Improved Filter Pruning Algorithm Autor Wang, Jinghan, Li, Guangyue, Zhang, Wenzhao

“… The emergence of a series of model compression algorithms makes artificial intelligence on edge possible…”
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Lightweight Multilayer Random Forests for Monitoring Driver Emotional Status Autor Jeong, Mira, Nam, Jaeyeal, Ko, Byoung Chul

“…This study proposes a lightweight multilayer random forest (LMRF) model, which is a non-neural network style deep model consisting of layer-by-layer random…”
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A compression pipeline for one-stage object detection model Autor Li, Zhishan, Sun, Yiran, Tian, Guanzhong, Xie, Lei, Liu, Yong, Su, Hongye, He, Yifan

“… Although a lot of studies have contributed to the compression of image classification networks, there are few model compression algorithms for object detection models…”
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Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes Autor Su, Xiaoxin, Zhou, Yipeng, Cui, Laizhong, Lui, John C. S., Liu, Jiangchuan

“… Model compression algorithms, such as quantization and sparsification, have been suggested but they generally assume a fixed code length, which does not reflect the heterogeneity and variability of model updates…”
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MARS: Multi-macro Architecture SRAM CIM-Based Accelerator with Co-designed Compressed Neural Networks Autor Syuan-Hao Sie, Lee, Jye-Luen, Yi-Ren, Chen, Chih-Cheng, Lu, Chih-Cheng Hsieh, Meng-Fan, Chang, Tang, Kea-Tiong

“… However, most of the model compression algorithms can only be implemented in digital-based CNN accelerators…”
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Learning Low-Rank Representations for Model Compression Autor Zhu, Zezhou, Dong, Yuan, Zhao, Zhong

“…Vector Quantization (VQ) is an appealing model compression method to obtain a tiny model with less accuracy loss. While methods to obtain better codebooks and…”
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