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1
Neural Architecture Search Survey: A Hardware Perspective
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Neural Architecture Search Survey: A Hardware Perspective

Chitty-Venkata, Krishna Teja ; Somani, Arun K.

ACM computing surveys, 2022-11, Vol.55 (4), p.1-36, Article 78 [Periódico revisado por pares]

New York, NY: ACM

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2
SCANN: Synthesis of Compact and Accurate Neural Networks
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SCANN: Synthesis of Compact and Accurate Neural Networks

Hassantabar, Shayan ; Wang, Zeyu ; Jha, Niraj K.

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-09, Vol.41 (9), p.3012-3025 [Periódico revisado por pares]

New York: IEEE

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3
NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning
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NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning

Chen, Pai-Yu ; Peng, Xiaochen ; Yu, Shimeng

IEEE transactions on computer-aided design of integrated circuits and systems, 2018-12, Vol.37 (12), p.3067-3080 [Periódico revisado por pares]

New York: IEEE

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4
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
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Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs

Liu, Shuanglong ; Fan, Hongxiang ; Ferianc, Martin ; Niu, Xinyu ; Shi, Huifeng ; Luk, Wayne

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.3974-3987

United States: IEEE

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5
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
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Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

Sun, Yanan ; Yen, Gary G. ; Yi, Zhang

IEEE transactions on evolutionary computation, 2019-02, Vol.23 (1), p.89-103 [Periódico revisado por pares]

New York: IEEE

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6
DRINet for Medical Image Segmentation
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DRINet for Medical Image Segmentation

Chen, Liang ; Bentley, Paul ; Mori, Kensaku ; Misawa, Kazunari ; Fujiwara, Michitaka ; Rueckert, Daniel

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2453-2462

United States: IEEE

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7
A review of convolutional neural network architectures and their optimizations
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A review of convolutional neural network architectures and their optimizations

Cong, Shuang ; Zhou, Yang

The Artificial intelligence review, 2023-03, Vol.56 (3), p.1905-1969 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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8
GCIM: Toward Efficient Processing of Graph Convolutional Networks in 3D-Stacked Memory
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GCIM: Toward Efficient Processing of Graph Convolutional Networks in 3D-Stacked Memory

Chen, Jiaxian ; Lin, Yiquan ; Sun, Kaoyi ; Chen, Jiexin ; Ma, Chenlin ; Mao, Rui ; Wang, Yi

IEEE transactions on computer-aided design of integrated circuits and systems, 2022-11, Vol.41 (11), p.3579-3590 [Periódico revisado por pares]

New York: IEEE

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9
Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture
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Software-Defined Design Space Exploration for an Efficient DNN Accelerator Architecture

Yu, Ye ; Li, Yingmin ; Che, Shuai ; Jha, Niraj K. ; Zhang, Weifeng

IEEE transactions on computers, 2021-01, Vol.70 (1), p.45-56 [Periódico revisado por pares]

New York: IEEE

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10
Deep and Shallow Architecture of Multilayer Neural Networks
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Deep and Shallow Architecture of Multilayer Neural Networks

Chang, Chih-Hung

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2477-2486

United States: IEEE

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