Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

331 to 340 of 460 Results
Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Dec 14, 2023
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...
augment.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 7.1 KB - MD5: d1ff82dff8c0e033758fd4c7686d1b31
benchmark.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 7.4 KB - MD5: 43d7422a7337851ad25eb31b284e3ea9
benchmark_resnet50.csv
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Comma Separated Values - 485 B - MD5: b9c3f333d8f062b4e9544d0ef204e2fd
benchmark_resnet50.yaml
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Unknown - 288 B - MD5: 39416d452f5b4dd008c7f8d1b8a52150
blocks.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 10.1 KB - MD5: 60d51ef85adc76ccbff367827ae2ca02
checkpoint.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 2.0 KB - MD5: 6cfbd56cb47e70c2d87b72ec72771835
cifar.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 4.3 KB - MD5: dd91f6fe0bdc72576acc7955438cba03
config.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 10.0 KB - MD5: 49f00bdc82c8db2a1b99f9de4481f767
dataloader.py
Dec 14, 2023 - Replication Data for: EMNAPE: Efficient Multi-Dimensional Neural Architecture Pruning for EdgeAI
Python Source Code - 3.5 KB - MD5: f5e3e663bd7124125f960553c49545fc
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.