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Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

Who can deposit? NTU faculty, research staff and students.

What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

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1,311 to 1,320 of 3,555 Results
Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs
Dec 14, 2023 - KONG Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs", https://doi.org/10.21979/N9/KSXK4T, DR-NTU (Data), V1
This is the source code repository for the publication "HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs".
Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators
Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators
Dec 14, 2023 - KONG Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators", https://doi.org/10.21979/N9/NT2HXS, DR-NTU (Data), V1, UNF:6:vfraJpp92Ek2OdfPAVmxeg== [fileUNF]
This is the program source code for the publication "EDLAB: A Benchmark for Edge Deep Learning Accelerators"
Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware
Dec 14, 2023 - KONG Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware", https://doi.org/10.21979/N9/NB6FU2, DR-NTU (Data), V1
This dataset is created to store the related data of the following published paper: Hao Kong, Di Liu, Shuo Huai, Xiangzhong Luo, Weichen Liu*, Ravi Subramaniam, Christian Makaya, Qian Lin, “Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hard...
Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Dec 14, 2023 - KONG Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI", https://doi.org/10.21979/N9/HGFYTJ, DR-NTU (Data), V1, UNF:6:YowCvL3Bn3yfomoWb2+WPg== [fileUNF]
This dataset is created to restore the related data of the following published paper: Hao Kong, Xiangzhong Luo, Shuo Huai, Di Liu, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu*, “EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI”, ACM/IEEE De...
Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Dec 14, 2023 - KONG Hao
Kong, Hao; Liu, Weichen, 2023, "Replication Data for: Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning", https://doi.org/10.21979/N9/BTNOJN, DR-NTU (Data), V1, UNF:6:YowCvL3Bn3yfomoWb2+WPg== [fileUNF]
This dataset is created to store the related data of the following published paper: Hao Kong, Di Liu, Xiangzhong Luo, Shuo Huai, Ravi Subramaniam, Christian Makaya, Qian Lin, Weichen Liu*, “Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional...
KONG Hao(Nanyang Technological University)
Dec 14, 2023LIU Weichen
Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond
Dec 13, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Weichen, 2023, "Related Data for: Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond", https://doi.org/10.21979/N9/GZJ0PW, DR-NTU (Data), V1
The related data for "Designing Efficient DNNs via Hardware-Aware Neural Architecture Search and Beyond".
Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems
Dec 13, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Di; Kong, Hao; Liu, Weichen, 2023, "Related Data for: EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems", https://doi.org/10.21979/N9/L2QVIV, DR-NTU (Data), V1
The related data for "EdgeNAS: Discovering Efficient Neural Architectures for Edge Systems".
Related Data for: You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms
Related Data for: You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms
Dec 13, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Weichen, 2023, "Related Data for: You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms", https://doi.org/10.21979/N9/2J9M9I, DR-NTU (Data), V1
The related data for "You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms".
Related Data for: SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search
Dec 13, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Di; Kong, Hao; Huai, Shuo; Chen, Hui; Liu, Weichen, 2023, "Related Data for: SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search", https://doi.org/10.21979/N9/Y2TO6G, DR-NTU (Data), V1
The related data for "SurgeNAS: A Comprehensive Surgery on Hardware-Aware Differentiable Neural Architecture Search". You may also refer to the following Google Drive link for the pretrained weights if you can not download them here https://drive.google.com/drive/folders/1f5R6mNc...
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