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标签“Networks”的相关文档，共232条

Graph Structure of Neural Networks
GraphStructureofNeuralNetworksJiaxuanYou1JureLeskovec1KaimingHe2SainingXie2Abstractinformationfromitsinputneurons,throughhiddenlayersallthewaytotheoutputneurons(McClellandetal.,1986).NeuralNetworks...
of Neural Networks Graph Structure
2023-11-14 21:44:2719635.95 MB27
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GNN-FiLM Graph Neural Networks with Feature-wise Linear Modulation
GNN-FiLM:GraphNeuralNetworkswithFeature-wiseLinearModulationMarcBrockschmidt1AbstractMostneuralgraphlearningmethodscanbesummarisedasneuralmessagepassing(Gilmeretal.,2017):nodesareThispaperpresentsa...
Neural Networks with Graph Linear
2023-11-14 21:44:241958301.73 KB6
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Generative Teaching Networks Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
GenerativeTeachingNetworks:AcceleratingNeuralArchitectureSearchbyLearningtoGenerateSyntheticTrainingDataFelipePetroskiSuch1AdityaRawal1JoelLehman1KennethO.Stanley1JeffClune12Abstract1.Introductiona...
Neural Networks Generative Search Architecture
2023-11-14 21:44:23833805.94 KB25
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Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
GeneralizingConvolutionalNeuralNetworksforEquivariancetoLieGroupsonArbitraryContinuousDataMarcFinzi1SamuelStanton1PavelIzmailov1AndrewGordonWilson1AbstractFigure1.Manymodalitiesofspatialdatadonotli...
Neural for Networks Convolutional to
2023-11-14 21:44:221366864.87 KB27
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Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
FrequentistUncertaintyinRecurrentNeuralNetworksviaBlockwiseInﬂuenceFunctionsAhmedM.Alaa1MihaelavanderSchaar12Abstract(a)Blockwiseresampling(b)SequentialconfidenceintervalsRNNPredictionsRecurrentne...
Neural Networks Recurrent via in
2023-11-14 21:44:1711212.78 MB14
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Frequency Bias in Neural Networks for Input of Non-Uniform Density
FrequencyBiasinNeuralNetworksforInputofNon-UniformDensityRonenBasri1MeiravGalun1AmnonGeifman1DavidJacobs2YoniKasten1ShiraKritchman1AbstractEpoch=3Epoch=100Recentworkshavepartlyattributedthegenerali...
Neural for Networks in Input
2023-11-14 21:44:1614252.59 MB8
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Fractal Gaussian Networks A sparse random graph model based on Gaussian Multiplicative Chaos
FractalGaussianNetworks:AsparserandomgraphmodelbasedonGaussianMultiplicativeChaosSubhroshekharGhosh1KrishnakumarBalasubramanian2XiaochuanYang3Abstractubiquityofstatisticalnetworkmodelsinthemodernap...
Networks Sparse Model Graph Gaussian
2023-11-14 21:44:161013535.33 KB19
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Fiedler Regularization Learning Neural Networks with Graph Sparsity
FiedlerRegularization:LearningNeuralNetworkswithGraphSparsityEdricTam1DavidDunson1Abstractthusbeendeveloped.ThesetechniquesoftenregularizetheNetworksfromaglobal/uniformperspective,e.g.weightde-Wein...
Learning Neural Networks with Graph
2023-11-14 21:44:141041277.41 KB15
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Finding trainable sparse Networks through Neural Tangent Transfer
FindingtrainablesparseNetworksthroughNeuralTangentTransferTianlinLiu12FriedemannZenke1Abstract2017).Tothisdate,mostofthestudiesonsparseartiﬁcialneuralNetworkshavefocusedonposthocpruning,wherebyDee...
Neural Networks Sparse through Finding
2023-11-14 21:44:141009717.44 KB30
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Fast Learning of Graph Neural Networks with Guaranteed Generalizability One-hidden-layer Case
FastLearningofGraphNeuralNetworkswithGuaranteedGeneralizability:One-hidden-layerCaseShuaiZhang1MengWang1SijiaLiu2Pin-YuChen3JinjunXiong3Abstract1.IntroductionAlthoughgraphneuralNetworks(GNNs)haveGr...
Learning of Neural Networks with
2023-11-14 21:44:12652739.83 KB18
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Einsum Networks Fast and Scalable Learning of Tractable Probabilistic Circuits
EinsumNetworks:FastandScalableLearningofTractableProbabilisticCircuitsRobertPeharz1StevenLang2AntonioVergari3KarlStelzner2AlejandroMolina2MartinTrapp4GuyVandenBroeck3KristianKersting2ZoubinGhahrama...
Learning of Networks and Fast
2023-11-14 21:44:015344.93 MB22
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Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
DynamicsofDeepNeuralNetworksandNeuralTangentHierarchyJiaoyangHuang1Horng-TzerYau2Abstractproblems,thereisnoguaranteethatagradientbasedalgo-rithmwillbeabletoﬁndtheoptimalparametersefﬁcientlyTheevo...
of Neural Networks and Deep
2023-11-14 21:43:571793305.48 KB1
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Domain Aggregation Networks for Multi-Source Domain Adaptation
DomainAggregationNetworksforMulti-SourceDomainAdaptationJunfengWen1RussGreiner1DaleSchuurmans12AbstractToaddressthisproblem,researchershavebeenexploringmethodsoftransferlearning(Pan&Yang,2009)ordo-...
for Aggregation Networks Domain Adaptation
2023-11-14 21:43:5419281.83 MB25
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Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning
DeepReasoningNetworksforUnsupervisedPatternDe-mixingwithConstraintReasoningDiChen1YiweiBai1WentingZhao1SebastianAment1JohnM.Gregoire2CarlaP.Gomes1Abstract(a)Thetwoground-truthSudokus(b)Inputmixture...
for Networks Deep Unsupervised Reasoning
2023-11-14 21:43:469442.24 MB19
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Curvature-corrected learning dynamics in deep neural Networks
Curvature-correctedlearningdynamicsindeepneuralNetworksDongsungHuh1AbstractWhilerecentadvancesinapproximateNGDmethods(e.g.K-FAC)havedramaticallyimprovedthecomputationalef-DeepneuralNetworksexhibitc...
Learning Neural Networks Deep in
2023-11-14 21:43:4119552.1 MB6
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Convolutional Kernel Networks for Graph-Structured Data
ConvolutionalKernelNetworksforGraph-StructuredDataDexiongChen1LaurentJacob2JulienMairal1AbstractGraphkernelshaveshowntobeexpressiveenoughtoyieldgoodempiricalresults,butdecoupledatarepresentationand...
for Kernel Networks Data Convolutional
2023-11-14 21:43:391320426.01 KB29
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Continuous Graph Neural Networks
ContinuousGraphNeuralNetworksLouis-PascalA.C.Xhonneux12MengQu12JianTang134Abstracttion(Gilmeretal.,2017),andnaturallanguageunderstand-ing(MarcheggianiandTitov,2017;Yaoetal.,2019).TheThispaperbuilds...
Neural Networks Graph Continuous
2023-11-14 21:43:3613311.77 MB28
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Constant Curvature Graph Convolutional Networks
ConstantCurvatureGraphConvolutionalNetworksGregorBachmann1GaryBe´cigneul1Octavian-EugenGanea2Abstracteigenmodes,Defferrardetal.(2016)approximatethecon-volutionalﬁltersusingChebyshevpolynomialslev...
Networks Graph Convolutional Constant Curvature
2023-11-14 21:43:3413233.58 MB10
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Confidence-Aware Learning for Deep Neural Networks
Conﬁdence-AwareLearningforDeepNeuralNetworksJooyoungMoon1JihyoKim1YounghakShin2SangheumHwang13Abstractanoverconﬁdentestimatorthatproducespredictiveproba-bilitieswithhighconﬁdenceevenforincorrect...
Learning Neural for Networks Deep
2023-11-14 21:43:3317991.94 MB18
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Concise Explanations of Neural Networks using Adversarial Training
ConciseExplanationsofNeuralNetworksusingAdversarialTrainingPrasadChalasani1JiefengChen2AmritaRoyChowdhury2SomeshJha12XiWu3Abstract1.IntroductionWeshownewconnectionsbetweenadversarialDespitetherecen...
of Neural Using Networks Adversarial
2023-11-14 21:43:321668723.06 KB10
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