"Networks"的相关文档 - 文库宝

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标签“Networks”的相关文档，共232条

Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension
StudentSpecializationinDeepRectiﬁedNetworksWithFiniteWidthandInputDimensionYuandongTian1Abstract1.IntroductionWeconsideradeepReLU/LeakyReLUstu-WhileDeepLearninghasachievedgreatsuccessindiffer-dent...
Networks with Deep in Rectified
2023-11-14 21:46:3712922.65 MB16
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Spectral Clustering with Graph Neural Networks for Graph Pooling
SpectralClusteringwithGraphNeuralNetworksforGraphPoolingFilippoMariaBianchi1DanieleGrattarola2CesareAlippi23AbstractMessage-passingMinCutPoolMessage-passingSpectralclustering(SC)isapopularclusterin...
Neural for Networks with Graph
2023-11-14 21:46:281535691.72 KB26
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Simple and Deep Graph Convolutional Networks
SimpleandDeepGraphConvolutionalNetworksMingChen1ZheweiWei234ZengfengHuang5BolinDing6YaliangLi6AbstractDespitetheirenormoussuccess,mostofthecurrentGCNmodelsareshallow.Mostoftherecentmodels,suchasGra...
Networks and Graph Deep simple
2023-11-14 21:46:249792.74 MB11
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SimGANs Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
SimGANs:Simulator-BasedGenerativeAdversarialNetworksforECGSynthesistoImproveDeepECGClassiﬁcationTomerGolany1DanielFreedman2KiraRadinsky1Abstractonvarioustasks(Gabrilovich&Markovitch,2009;Zhangetal...
for Networks Adversarial Generative ECG
2023-11-14 21:46:2411971.26 MB4
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SGD Learns One-Layer Networks in WGANs
SGDLearnsOne-LayerNetworksinWGANsQiLei1JasonD.Lee2AlexandrosG.Dimakis1ConstantinosDaskalakis3Abstractbutionwithlowsamplecomplexity.However,theseresultscannotbealgorithmicallyattainedviapracticalGAN...
Networks in SGD Learns One-Layer
2023-11-14 21:46:23612613.73 KB19
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SDE-Net Equipping Deep Neural Networks with Uncertainty Estimates
SDE-Net:EquippingDeepNeuralNetworkswithUncertaintyEstimatesLingkaiKong1JimengSun2ChaoZhang1Abstractbilitiesforclassiﬁcation(Guoetal.,2017).Moreover,theycanmakeerroneousyetwildlyconﬁdentprediction...
Neural Networks with Deep Uncertainty
2023-11-14 21:46:1917579.31 MB24
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Robust One-Bit Recovery via ReLU Generative Networks Near-Optimal Statistical Rate and Global Landscape Analysis
RobustOne-BitRecoveryviaReLUGenerativeNetworks:Near-OptimalStatisticalRateandGlobalLandscapeAnalysisShuangQiu1XiaohanWei2ZhuoranYang3Abstract1.IntroductionWestudytherobustone-bitcompressedsens-Quan...
Networks Generative via Robust Recovery
2023-11-14 21:46:131520397.55 KB28
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Reverse-engineering deep ReLU Networks
Reverse-EngineeringDeepReLUNetworksDavidRolnick1KonradP.Ko¨rding1Abstractconstructadversarialattacks.TheoutputofaneuralnetworkdependsonitsarTherelatedquestionofreverse-engineeringbiologicalneu...
Networks Deep ReLU Reverse-engineering
2023-11-14 21:46:1113354.92 MB2
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Optimization Theory for ReLU Neural Networks Trained with Normalization Layers
OptimizationTheoryforReLUNeuralNetworksTrainedwithNormalizationLayersYonatanDukler1QuanquanGu2GuidoMontúfar134AbstractofadditionalnormalizationmethodsfollowedBN,notablyincludingLayerNormalization(...
Neural for Networks Optimization Theory
2023-11-14 21:45:441221526.25 KB25
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On the Expressivity of Neural Networks for Deep Reinforcement Learning
OntheExpressivityofNeuralNetworksforDeepReinforcementLearningKefanDong1YupingLuo2TianheYu3ChelseaFinn3TengyuMa3Abstractwiththeestimateddynamics(Nagabandietal.,2018;Chuaetal.,2018;Wang&Ba,2019).Weco...
of Neural for Networks on
2023-11-14 21:45:3210781012.91 KB29
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Neural Networks are Convex Regularizers Exact Polynomial-time Convex Optimization Formulations for Two-Layer Networks
NeuralNetworksareConvexRegularizers:ExactPolynomial-timeConvexOptimizationFormulationsforTwo-layerNetworksMertPilanci1TolgaErgen1Abstractconnectionstokernelmethods,andshowedthatrandomlyinitializedg...
Neural Networks Convex Exact Are
2023-11-14 21:45:2210341.87 MB22
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Maximum-and-Concatenation Networks
Maximum-and-ConcatenationNetworksXingyuXie1HaoKong1JianlongWu2WayneZhang3GuangcanLiu4ZhouchenLin1Abstractnumberoftrainingsamples;namely,Whilesuccessfulinmanyﬁelds,deepneuralnet-minL(θ):=1n(fθ(xi...
Networks Maximum-and-Concatenation
2023-11-14 21:45:081838755.79 KB29
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Lets Agree to Agree Neural Networks Share Classification Order on Real Datasets
Let’sAgreetoAgree:NeuralNetworksShareClassiﬁcationOrderonRealDatasetsGuyHacohen12LeshemChoshen1DaphnaWeinshall1AbstractFigure1.Imageslearnedatthebeginning(toprow)andtheendofthetraining(bottomrow)...
Neural Networks Classification to Agree
2023-11-14 21:45:0116241.46 MB14
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Learning Quadratic Games on Networks
LearningQuadraticGamesonNetworksYanLeng1XiaowenDong2JunfengWu3AlexPantland4AbstractFacebook,onlytoﬁndoutthatanypairofFacebookuserscanactuallybeconnectedviaapproximatelythreeandahalfIndividuals,oro...
Learning Networks on Games Quadratic
2023-11-14 21:44:551438775 KB13
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Learning Opinions in Social Networks
LearningOpinionsinSocialNetworksVincentConitzer1DebmalyaPanigrahi1HanruiZhang1Abstractstronglyaffectsuserv,andweknowthatuseruisawareofourproduct,thenwearequitesurethatuservisalsoWestudytheproblemof...
Learning Networks in Opinions Social
2023-11-14 21:44:541909284.51 KB2
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Learning Algebraic Multigrid Using Graph Neural Networks
LearningAlgebraicMultigridUsingGraphNeuralNetworksIlayLuz1MeiravGalun1HaggaiMaron2RonenBasri1IradYavneh3Abstract(2013);Napov&Notay(2016);Fox&Manteuffel(2018)).WhileAMGismathematicallywellgrounded,i...
Learning Neural Using Networks Algebraic
2023-11-14 21:44:49676856.34 KB12
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InfoGAN-CR Disentangling Generative Adversarial Networks with Contrastive Regularizers
InfoGAN-CRandModelCentrality:Self-supervisedModelTrainingandSelectionforDisentanglingGANsZinanLin1KiranK.Thekumparampil2GiuliaFanti1SewoongOh3Abstract1.IntroductionDisentangledgenerativemodelsmapal...
Networks Adversarial Generative with Disentangling
2023-11-14 21:44:4019742.54 MB13
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Incidence Networks for Geometric Deep Learning
IncidenceNetworksforGeometricDeepLearningMarjanAlbooyeh1DanieleBertoliniSiamakRavanbakhsh23Abstracttwo(edges).Moreovereachedge(column)isincidenttoexactlytwonodes(rows).Thesparsitypatternoftheinci-S...
Learning for Networks Deep Geometric
2023-11-14 21:44:3613791.62 MB23
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How recurrent Networks implement contextual processing in sentiment analysis
HowrecurrentNetworksimplementcontextualprocessinginsentimentanalysisNiruMaheswaranathan1DavidSussillo1AbstractRigorouslyunderstandinghowNetworkssolveimportanttasksisacentralchallengeindeeplearning....
Networks Recurrent in Contextual How
2023-11-14 21:44:3112667.12 MB6
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Harmonic Decompositions of Convolutional Networks
HarmonicDecompositionsofConvolutionalNetworksMeyerScetbon12ZaidHarchaoui2Abstractlyzeamulti-layerperceptron(MLP)insteadactingonvec-torizedimages,whichhasthedownsidethesetasidetheWepresentadescripti...
of Networks Decompositions Convolutional Harmonic
2023-11-14 21:44:291196657.89 KB16
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