"CNNs"的相关文档

CIFS Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
CIFS:ImprovingAdversarialRobustnessofCNNsviaChannel-wiseImportance-basedFeatureSelectionHanshuYan1JingfengZhang2GangNiu2JiashiFeng1VincentY.F.Tan13MasashiSugiyama24Abstracttonomousvehicles(Grigores...
of Adversarial via Improving Robustness
2023-11-16 18:11:207461.74 MB22
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Accelerate CNNs from Three Dimensions A Comprehensive Pruning Framework
AccelerateCNNsfromThreeDimensions:AComprehensivePruningFrameworkWenxiaoWang12MinghaoChen1ShuaiZhao1LongChen34JinmingHu1HaifengLiu1DengCai1XiaofeiHe1WeiLiu2Abstract57Mostneuralnetworkpruningmethods,...
from Dimensions Three CNNs Accelerate
2023-11-16 18:00:2013733.16 MB10
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Interpolation between CNNs and ResNets
InterpolationbetweenResidualandNon-ResidualNetworksZonghanYang1YangLiu1ChenglongBao2ZuoqiangShi3Abstracteringadifferentialequationthatidentiﬁestheruleoftheobserveddatabasedonthestandardblockofexis...
and resnets between CNNs Interpolation
2023-11-14 21:44:427152.5 MB22
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Decoupled Greedy Learning of CNNs
DecoupledGreedyLearningofCNNsEugeneBelilovsky1MichaelEickenberg2EdouardOyallon3Abstractcienciesthatprohibitparallelizationofthecomputationsofthedifferentconstituentmodules.Jaderbergetal.(2017)Acomm...
Learning of Decoupled Greedy CNNs
2023-11-14 21:43:44645949.93 KB13
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Understanding Geometry of Encoder-Decoder CNNs
UnderstandingGeometryofEncoder-DecoderCNNsJongChulYe12WoonKyoungSung2Abstractpower,generalizationcapability,andoptimizationland-scapeofDNNshavebecomeanintellectualchallengeforEncoder-decodernetwork...
of Geometry Understanding CNNs Encoder-Decoder
2023-11-13 14:48:531006424.79 KB27
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Training CNNs with Selective Allocation of Channels
TrainingCNNswithSelectiveAllocationofChannelsJongheonJeong1JinwooShin123AbstractChenetal.,2018)andanytime/adaptivenetworks(Figurnovetal.,2017;Bolukbasietal.,2017;Huangetal.,2018a).Recentprogressind...
of with Allocation Selective Training
2023-11-13 14:48:5015341.62 MB21
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Optimization Landscape and Expressivity of Deep CNNs
OptimizationLandscapeandExpressivityofDeepCNNsQuynhNguyen1MatthiasHein2AbstractTable1.Themaximumwidthofalllayersinseveralstate-of-the-artCNNarchitecturescomparedwiththesizeofImageNetdatasetWeanalyz...
of Optimization and Deep Landscape
2023-11-13 12:00:221467344.01 KB18
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