Kong Hao

Appointment: PhD Student

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61 to 70 of 460 Results

utils-1.py Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI Python Source Code - 2.5 KB - MD5: e408b7c249eef6df70e6d7b27c333260
utils-1.py Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI Python Source Code - 988 B - MD5: 52f6a09702e9f9e3447b7af745472e40
vgg-1.py Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI Python Source Code - 4.7 KB - MD5: 47e70bb8eb5a7c3259c86520ff7e19d0
vgg_cifar-1.yaml Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI Unknown - 479 B - MD5: 89774fdc005a7aedb55eebde5fefc1e2
Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Dec 14, 2023 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".
-1.gitignore Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 216 B - MD5: 430b6528131d7a3487a50a083601e8c1
-1.gitignore Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 223 B - MD5: fa2643633d5f25005deefe268f0a793b
-1.gitignore Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 162 B - MD5: f880ced6e899eca92edcf3198cdb8a04
adaptnet-1.py Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Python Source Code - 8.3 KB - MD5: c2660b5aa1636aa13782036c5e492e2d
adaptnet.cpython-37.pyc Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Unknown - 7.1 KB - MD5: 4ef1a82adc249a3fef2565a761d9b20c

utils-1.py

Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

Python Source Code - 2.5 KB -

utils-1.py

Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

Python Source Code - 988 B -

vgg-1.py

Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

Python Source Code - 4.7 KB -

vgg_cifar-1.yaml

Dec 14, 2023 - Replication Data for: EdgeCompress: Coupling Multi-Dimensional Model Compression and Dynamic Inference for EdgeAI

Unknown - 479 B -

Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Dec 14, 2023

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".

-1.gitignore

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 216 B -

-1.gitignore

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 223 B -

-1.gitignore

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 162 B -

adaptnet-1.py

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Python Source Code - 8.3 KB -

adaptnet.cpython-37.pyc

Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs

Unknown - 7.1 KB -

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