<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems</titl><IDNo agency="DOI">doi:10.21979/N9/IRNJ4I</IDNo></titlStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><distDate>2022-03-07</distDate></distStmt><verStmt source="archive"><version date="2022-03-07" type="RELEASED">1</version></verStmt><biblCit>Shuo, Huai; Liu, Weichen, 2022, "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems", https://doi.org/10.21979/N9/IRNJ4I, DR-NTU (Data), V1, UNF:6:+jmG0vdNb5kvT4IJ3OJAeA== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems</titl><IDNo agency="DOI">doi:10.21979/N9/IRNJ4I</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Nanyang Technological University">Shuo, Huai</AuthEnty><AuthEnty affiliation="Nanyang Technological University">Liu, Weichen</AuthEnty></rspStmt><prodStmt><software version="3.7">Python</software><grantNo agency="National Research Foundation (NRF)">Singapore Government through the Industry Alignment Fund - Industry Collaboration Projects Grant (I1801E0028)</grantNo></prodStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><contact affiliation="Nanyang Technological University">Shuo, Huai</contact><depositr>Shuo, Huai</depositr><depDate>2022-03-07</depDate></distStmt><holdings URI="https://doi.org/10.21979/N9/IRNJ4I"/></citation><stdyInfo><subject><keyword xml:lang="en">Engineering</keyword><keyword>Engineering</keyword><keyword>ZeroBN</keyword><keyword>Compact Learning</keyword></subject><abstract date="2022-03-07">Codes and data for "ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems"</abstract><sumDscr><dataKind>program source code</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">10.1109/DAC18074.2021.9586309</IDNo></titlStmt><biblCit>Huai, S., Zhang, L., Liu, D., Liu, W., &amp; Subramaniam, R. (2021, December). ZeroBN: Learning Compact Neural Networks For Latency-Critical Edge Systems. In 2021 58th ACM/IEEE Design Automation Conference (DAC) (pp. 151-156). IEEE.</biblCit></citation><ExtLink URI="https://ieeexplore.ieee.org/abstract/document/9586309"/></relPubl><relPubl><citation><titlStmt><IDNo agency="handle">10356/155572</IDNo></titlStmt><biblCit>Huai, S., Zhang, L., Liu, D., Liu, W. &amp; Subramaniam, R. (2021). ZeroBN : learning compact neural networks for latency-critical edge systems. 2021 58th ACM/IEEE Design Automation Conference (DAC), 151-156.</biblCit></citation><ExtLink URI="https://hdl.handle.net/10356/155572"/></relPubl></othrStdyMat></stdyDscr><fileDscr ID="f86101" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86101"><fileTxt><fileName>y_i.tab</fileName><dimensns><caseQnty>5503</caseQnty><varQnty>1</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:+jmG0vdNb5kvT4IJ3OJAeA==</notes></fileDscr><dataDscr><var ID="v336795" name="0.00000015148668808251300000000" intrvl="contin"><location fileid="f86101"/><labl level="variable">0.00000015148668808251300000000</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">0.12967455202424852</sumStat><sumStat type="medn">1.96770059801565E-7</sumStat><sumStat type="mean">0.06845981380958771</sumStat><sumStat type="vald">5503.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">7.58904258879589E-11</sumStat><sumStat type="max">1.23619699478149</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+jmG0vdNb5kvT4IJ3OJAeA==</notes></var></dataDscr><otherMat ID="f86087" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86087" level="datafile"><labl>channel_selection.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86084" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86084" level="datafile"><labl>channel_selection.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86106" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86106" level="datafile"><labl>densenet.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86097" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86097" level="datafile"><labl>environment.yml</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/octet-stream</notes></otherMat><otherMat ID="f86104" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86104" level="datafile"><labl>framework.png</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/png</notes></otherMat><otherMat ID="f86074" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86074" level="datafile"><labl>googlenet.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86100" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86100" level="datafile"><labl>googlenet_torch.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86076" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86076" level="datafile"><labl>googlenet_torch_scale.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86096" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86096" level="datafile"><labl>imagenet100.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f86072" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86072" level="datafile"><labl>__init__.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86102" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86102" level="datafile"><labl>__init__.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86089" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86089" level="datafile"><labl>__init__.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86080" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86080" level="datafile"><labl>load_mat.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86093" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86093" level="datafile"><labl>predictor.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86083" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86083" level="datafile"><labl>preresnet.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86079" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86079" level="datafile"><labl>README.md</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/markdown</notes></otherMat><otherMat ID="f86088" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86088" level="datafile"><labl>resnet_new.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86077" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86077" level="datafile"><labl>resnet_torch.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86091" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86091" level="datafile"><labl>save_models_link</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain; charset=US-ASCII</notes></otherMat><otherMat ID="f86078" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86078" level="datafile"><labl>test.m</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-matlab</notes></otherMat><otherMat ID="f86094" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86094" level="datafile"><labl>train_cifar10.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86099" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86099" level="datafile"><labl>train_imagenet.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86082" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86082" level="datafile"><labl>train_imagenet_resnetnew.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86103" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86103" level="datafile"><labl>train.m</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-matlab</notes></otherMat><otherMat ID="f86073" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86073" level="datafile"><labl>trans_googlenet_half.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86086" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86086" level="datafile"><labl>trans_googlenet.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86105" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86105" level="datafile"><labl>trans_googlenet_scale_half.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86098" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86098" level="datafile"><labl>trans_googlenet_scale.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86095" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86095" level="datafile"><labl>trans_resnet.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86090" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86090" level="datafile"><labl>trans_vgg19_half.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86075" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86075" level="datafile"><labl>trans_vgg19.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86092" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86092" level="datafile"><labl>vgg.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86081" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86081" level="datafile"><labl>vgg.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat><otherMat ID="f86085" URI="https://researchdata.ntu.edu.sg/api/access/datafile/86085" level="datafile"><labl>vgg_torch.py</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/x-python</notes></otherMat></codeBook>