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Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems
Apr 7, 2026
Luo, Xiangzhong; Liu, Weichen, 2026, "Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems", https://doi.org/10.21979/N9/VVAKSR, DR-NTU (Data), V1
The dataset includes the source codes and readme file for implementing the design presented in the paper "Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems", accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and S...
DW-NAS-main.zip
Apr 7, 2026 - Replication Data for: Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems
ZIP Archive - 917.3 KB - MD5: e180c5f85b9780fb296f5624ca3a6e0e
Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems
Apr 7, 2026
Luo, Xiangzhong; Liu, Di; Kong, Hao; Huai, Shuo; Liu, Weichen, 2026, "Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems", https://doi.org/10.21979/N9/BIOGHZ, DR-NTU (Data), V1
The dataset includes the source codes and readme file for implementing the design presented in the paper "Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems"
DW-NAS-main.zip
Apr 7, 2026 - Replication Data for: Double-Win NAS: Towards Deep-to-Shallow Transformable Neural Architecture Search for Intelligent Embedded Systems
ZIP Archive - 917.3 KB - MD5: e180c5f85b9780fb296f5624ca3a6e0e
Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting
Dec 18, 2023
Luo, Xiangzhong; Liu, Weichen, 2023, "Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting", https://doi.org/10.21979/N9/SJX3HR, DR-NTU (Data), V1
The related data for "Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting".
accuracy.cpython-37.pyc
Dec 18, 2023 - Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting
Unknown - 641 B - MD5: ca53326cacffc3f21773d651e528419e
accuracy.py
Dec 18, 2023 - Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting
Python Source Code - 456 B - MD5: ede4bb0ff34fe27a950559d2eeb957b6
dataloader.cpython-37.pyc
Dec 18, 2023 - Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting
Unknown - 1.3 KB - MD5: 3f431e3f0f2e431647212c47cc0954c6
dataloader.py
Dec 18, 2023 - Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting
Python Source Code - 1.8 KB - MD5: 203ab3eaa7df218078b3ece4c1f3e633
Domino-Aggressive-Finetune.pth.tar
Dec 18, 2023 - Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting
TAR Archive - 133.2 MB - MD5: 5cb6262c9d369eca032ab2f097b62efb
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