"Networks"的相关文档 - 文库宝

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标签“Networks”的相关文档，共232条

Optimization of Graph Neural Networks Implicit Acceleration by Skip Connections and More Depth
OptimizationofGraphNeuralNetworks:ImplicitAccelerationbySkipConnectionsandMoreDepthKeyuluXu1MozhiZhang2StefanieJegelka1KenjiKawaguchi3AbstracttheoreticalaspectsofGNNstounderstandtheirsuccessandlimi...
of Neural Networks Optimization Graph
2023-11-16 19:28:261010508 KB29
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On Explainability of Graph Neural Networks via Subgraph Explorations
OnExplainabilityofGraphNeuralNetworksviaSubgraphExplorationsHaoYuan1HaiyangYu1JieWang2KangLi3ShuiwangJi1Abstract2018;Wangetal.,2019),andgraphpooling(Yuan&Ji,2020;Gao&Ji,2019;Zhangetal.,2018).Howeve...
of Neural Networks Graph on
2023-11-16 19:15:4313281.22 MB30
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Newton Method over Networks is Fast up to the Statistical Precision
NewtonMethodoverNetworksisFastuptotheStatisticalPrecisionAmirDaneshmand1GesualdoScutari1PavelDvurechensky23AlexanderGasnikov43Abstractwhere:Rd×Z→Risthelossfunction,assumedtobe(strongly)convexinx,...
Networks Newton Fast Method is
2023-11-16 19:15:37618486.91 KB27
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Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference
MultiscaleInvertibleGenerativeNetworksforHigh-DimensionalBayesianInferenceShumaoZhang1PengchuanZhang2ThomasY.Hou1AbstractwhereListhelikelihoodgivenasWeproposeaMultiscaleInvertibleGenerativeL(yx)=N(...
for Networks Generative High-dimensional Bayesian
2023-11-16 19:15:3113366.17 MB9
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Momentum Residual Neural Networks
MomentumResidualNeuralNetworksMichaelE.Sander12PierreAblin12MathieuBlondel3GabrielPeyre´12Abstract2019).Mostofdeeplearningtasksinvolvegraphicsprocess-ingunits(GPUs),wherememoryisapracticalbottlene...
Neural Networks Momentum Residual
2023-11-16 19:15:2814092.86 MB21
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Learning Diverse-Structured Networks for Adversarial Robustness
LearningDiverse-StructuredNetworksforAdversarialRobustnessXuefengDu12JingfengZhang3BoHan1TongliangLiu4YuRong5GangNiu3JunzhouHuang5MasashiSugiyama36AbstractTable1.Performancemisalignmentfordifferent...
Learning for Networks Adversarial Robustness
2023-11-16 19:04:5910361.1 MB17
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Learning Curves for Analysis of Deep Networks
LearningCurvesforAnalysisofDeepNetworksDerekHoiem1TanmayGupta2ZhizhongLi1MichalM.Shlapentokh-Rothman1Abstracttrapolateratherthanevaluateandhavetypicallyrequiredlarge-scaleexperimentsthatareoutsidet...
Learning of for Networks Analysis
2023-11-16 19:04:5910411.08 MB3
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Learning Deep Neural Networks under Agnostic Corrupted Supervision
LearningDeepNeuralNetworksunderAgnosticCorruptedSupervisionBoyangLiu1MengyingSun1DingWang1Pang-NingTan1JiayuZhou1Abstractduringtraining.Bydetectingandﬁltering(orre-weighting)thepossiblecorruptedsa...
Learning Neural Networks Deep under
2023-11-16 19:04:5812461.1 MB4
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Information Obfuscation of Graph Neural Networks
InformationObfuscationofGraphNeuralNetworksPeiyuanLiao1HanZhao2KeyuluXu3TommiJaakkola3GeoffreyGordon1StefanieJegelka3RuslanSalakhutdinov1Abstractthesocialnetwork.Bytakingthestructuredinformationoff...
of Neural Networks Graph Information
2023-11-16 18:47:039522.12 MB5
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Improving Gradient Regularization using Complex-Valued Neural Networks
ImprovingGradientRegularizationusingComplex-ValuedNeuralNetworksEricYeats1YiranChen1HaiLi1Abstractandthattheseinputsaredifﬁculttodistinguishfromnor-malinputs.SubsequentinvestigationbyGoodfelloweta...
Neural Using Networks Gradient Improving
2023-11-16 18:47:0212782.43 MB27
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Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
ImprovingBreadth-WiseBackpropagationinGraphNeuralNetworksHelpsLearningLong-RangeDependenciesDenisLukovnikov1AsjaFischer1Abstract2020),(2)over-smoothing(Lietal.,2018;Chenetal.,2019;Zhao&Akoglu,2020;...
Neural Networks Graph in Improving
2023-11-16 18:47:021294366.29 KB20
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How Framelets Enhance Graph Neural Networks
HowFrameletsEnhanceGraphNeuralNetworksXuebinZheng1BingxinZhou1JunbinGao1YuGuangWang234PietroLiò5MingLi6GuidoMontúfar72Abstract1.IntroductionThispaperpresentsanewapproachforassem-Graphneuralnetwor...
Neural Networks Graph How Framelets
2023-11-16 18:46:575468.27 MB11
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How could Neural Networks understand Programs
HowcouldNeuralNetworksunderstandPrograms?DinglanPeng1ShuxinZheng2YataoLi2GuolinKe2DiHe2Tie-YanLiu2Abstract1.IntroductionSemanticunderstandingofprogramsisafunda-Modernsoftwaretypicallycontainstonsof...
Neural Networks How Programs Understand
2023-11-16 18:46:561251519.43 KB9
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Grid-Functioned Neural Networks
Grid-FunctionedNeuralNetworksJavierDehesa12AndrewVidler2JulianPadget1ChristofLutteroth1Abstractpointsscatteredthroughoutthewholeproblemspace.Forexample,predictingageographicalfeaturegivenalatitudeW...
Neural Networks Grid-Functioned
2023-11-16 18:46:5119992.68 MB16
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Graph Neural Networks Inspired by Classical Iterative Algorithms
GraphNeuralNetworksInspiredbyClassicalIterativeAlgorithmsYongyiYang1†TangLiu1†YangkunWang2†JinjingZhou3QuanGan3ZheweiWei4ZhengZhang3ZengfengHuang1DavidWipf3Abstract1.IntroductionDespitetherecent...
Neural Networks Graph by Iterative
2023-11-16 18:46:51875445.1 KB25
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Graph Mixture Density Networks
GraphMixtureDensityNetworksFedericoErrica1DavideBacciu1AlessioMicheli1Abstractmatteroffact,amultimodaltargetdistributionassociatesmorethanonelikelyoutcomewithagiveninputsample,WeintroducetheGraphMi...
Networks Graph Density Mixture
2023-11-16 18:46:5017063.47 MB25
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GNNAutoScale Scalable and Expressive Graph Neural Networks via Historical Embeddings
GNNAutoScale:ScalableandExpressiveGraphNeuralNetworksviaHistoricalEmbeddingsMatthiasFey1JanEricLenssen1FrankWeichert1JureLeskovec2AbstractWhilethefull-gradientinaGNNisstraightforwardtocom-pute,assu...
Neural Networks and Graph Expressive
2023-11-16 18:46:481645370.69 KB17
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Globally-Robust Neural Networks
Globally-RobustNeuralNetworksKlasLeino1ZifanWang1MattFredrikson1AbstractFigure1:Illustrationofglobalrobustness.ThemodelabstainsfrompredictingonthemarginbetweentheclassesThethreatofadversarialexampl...
Neural Networks Globally-Robust
2023-11-16 18:46:481753527.47 KB24
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Generative Causal Explanations for Graph Neural Networks
GenerativeCausalExplanationsforGraphNeuralNetworksWanyuLin12HaoLan2BaochunLi2AbstractDespitetheirpracticalsuccess,mostGNNsaredeployedasblackboxes,lackingexplicitdeclarativeknowledgerepre-Thispaperp...
Neural for Networks Generative Graph
2023-11-16 18:46:4614115.55 MB15
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Generative Adversarial Networks for Markovian Temporal Dynamics Stochastic Continuous Data Generation
GenerativeAdversarialNetworksforMarkovianTemporalDynamics:StochasticContinuousDataGenerationSungWooPark1DongWookShu1JunseokKwon1AbstractprobabilitydistributionXt∼pt,whichhasthefollowingformulation...
for Networks Adversarial Generative Temporal
2023-11-16 18:46:4510113.32 MB4
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