Kong Hao

Appointment: PhD Student

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201 to 210 of 460 Results

wideres_acc-1.pdf Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Adobe PDF - 10.8 KB - MD5: ebf05184bcb32a70da0a13e9ef263f9d
wideres_lat-1.pdf Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Adobe PDF - 11.3 KB - MD5: 55ea054f7a0e093dcf362c95bd394221
widthscale-1.pdf Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Adobe PDF - 27.1 KB - MD5: de55f0b4e4c94e949921d83b3f0a6be5
w_r-1.pdf Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Adobe PDF - 15.4 KB - MD5: b9665447e2d869cba55d399c88d29c53
w_r-1.pptx Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs MS Powerpoint - 0 B - MD5: d41d8cd98f00b204e9800998ecf8427e
w_r_crop-1.pdf Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Adobe PDF - 45.1 KB - MD5: e5a876fbeaec03c6ce76d3c62f2844ac
w_r_orig-1.pdf Dec 14, 2023 - Replication Data for: HACScale: Hardware-Aware Compound Scaling for Resource-Efficient DNNs Adobe PDF - 15.5 KB - MD5: 50ba751507528faaa916518fb98756d7
Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators Dec 14, 2023 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"
accuracy.py Dec 14, 2023 - Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators Python Source Code - 1.7 KB - MD5: 9a44fcdcab9dd277e0eed7930a91e8af
classification.py Dec 14, 2023 - Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators Python Source Code - 8.0 KB - MD5: 1dfa59bbe8922939af097fdbea31b09b

wideres_acc-1.pdf

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

Adobe PDF - 10.8 KB -

wideres_lat-1.pdf

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

Adobe PDF - 11.3 KB -

widthscale-1.pdf

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

Adobe PDF - 27.1 KB -

w_r-1.pdf

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

Adobe PDF - 15.4 KB -

w_r-1.pptx

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

MS Powerpoint - 0 B -

w_r_crop-1.pdf

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

Adobe PDF - 45.1 KB -

w_r_orig-1.pdf

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

Adobe PDF - 15.5 KB -

Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators

Dec 14, 2023

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"

accuracy.py

Dec 14, 2023 - Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators

Python Source Code - 1.7 KB -

classification.py

Dec 14, 2023 - Replication Data for: EDLAB: A Benchmark for Edge Deep Learning Accelerators

Python Source Code - 8.0 KB -

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