College of Computing and Data Science (CCDS)

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4,731 to 4,740 of 4,932 Results

Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Dec 21, 2020 - Zhu Shien Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF] Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020.
gap8.zip Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices ZIP Archive - 1.2 GB - MD5: ce4fc478984c26ed80a6c83abfb1bd8c Code The_GAP8_SDK that contains the compiler and source codes
ICPADS 2020 XOR-Net Latex.zip Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices ZIP Archive - 2.0 MB - MD5: 851043007b84fd2c2599ebd2485c71e1 Documentation The latex folder of the paper
ICPADS_2020_XOR-Net_PPT.pdf Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Adobe PDF - 2.3 MB - MD5: 4a934600b747084740524d91df1c1909 Documentation The PPT for the conference
XOR-Net Performance Summary 2020-7-22.tab Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Tabular Data - 19.2 KB - 17 Variables, 149 Observations - UNF:6:VrCPbjap40q9aQlCjvdQBA== Data The performance of XOR-Net and competing methods.
XOR-Net Power Curve 2020-7-22.tab Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Tabular Data - 2.3 KB - 6 Variables, 60 Observations - UNF:6:xxq6bqFO6DSue3p5nX3/8Q== Data The power consumption of XOR-Net and competing methods.
A directed Bitcoin subgraph with 209 nodes Oct 28, 2020 - Bitcoin Graph Analytics Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1 This file contains a list of edges, specified by two Bitcoin addresses.
subgraph1.txt Oct 28, 2020 - A directed Bitcoin subgraph with 209 nodes Plain Text - 18.2 KB - MD5: a26ea95b7c38e17e515bae5c5930a9da
Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment Oct 26, 2020 - Yang Sheng Yang, Sheng, 2020, "Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment", https://doi.org/10.21979/N9/H38R0Z, DR-NTU (Data), V1 This repository contains the reference code for our ACM MM 2019 paper. Its GitHub link is https://github.com/ysyscool/SGDNet
clive1162ysnew.mat Oct 26, 2020 - Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment MATLAB Data - 2.9 MB - MD5: f3f27834521b518322f9b3adc668f5a4

Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

Dec 21, 2020 - Zhu Shien

Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF]

Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020.

gap8.zip

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

ZIP Archive - 1.2 GB -

Code

The_GAP8_SDK that contains the compiler and source codes

ICPADS 2020 XOR-Net Latex.zip

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

ZIP Archive - 2.0 MB -

Documentation

The latex folder of the paper

ICPADS_2020_XOR-Net_PPT.pdf

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

Adobe PDF - 2.3 MB -

Documentation

The PPT for the conference

XOR-Net Performance Summary 2020-7-22.tab

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

Tabular Data - 19.2 KB - 17 Variables, 149 Observations -

Data

The performance of XOR-Net and competing methods.

XOR-Net Power Curve 2020-7-22.tab

Dec 21, 2020 - Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

Tabular Data - 2.3 KB - 6 Variables, 60 Observations -

Data

The power consumption of XOR-Net and competing methods.

A directed Bitcoin subgraph with 209 nodes

Oct 28, 2020 - Bitcoin Graph Analytics

Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1

This file contains a list of edges, specified by two Bitcoin addresses.

subgraph1.txt

Oct 28, 2020 - A directed Bitcoin subgraph with 209 nodes

Plain Text - 18.2 KB -

Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment

Oct 26, 2020 - Yang Sheng

Yang, Sheng, 2020, "Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment", https://doi.org/10.21979/N9/H38R0Z, DR-NTU (Data), V1

This repository contains the reference code for our ACM MM 2019 paper. Its GitHub link is https://github.com/ysyscool/SGDNet

clive1162ysnew.mat

Oct 26, 2020 - Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment

MATLAB Data - 2.9 MB -

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