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标签“of”的相关文档，共557条

Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
WassersteinDistributionalNormalizationForRobustDistributionalCertiﬁcationofNoisyLabeledDataSungWooPark1JunseokKwon1AbstractWhilethereareseveralmethodsthatcandealwithnoisy-labeleddata,recentmethods...
of for Robust Wasserstein Distributional
2023-11-16 19:42:241557540.49 KB29
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Versatile Verification of Tree Ensembles
VersatileVerificationofTreeEnsemblesLaurensDevos1WannesMeert1JesseDavis1Abstractpropertyholds.Examplesofverificationquestionsinclude:Machinelearnedmodelsoftenmustabidebycer-•Adversarialexamplegene...
of Tree verification Ensembles Versatile
2023-11-16 19:42:231527730.75 KB29
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Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models
Variational(Gradient)EstimateoftheScoreFunctioninEnergy-basedLatentVariableModelsFanBao12KunXu1ChongxuanLi1LanqingHong2JunZhu1BoZhang1Abstractsivepower(Salakhutdinov&Hinton,2009;Baoetal.,2020)andto...
of Variational Gradient the Function
2023-11-16 19:42:2211802.28 MB29
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Unsupervised Learning of Visual 3D Keypoints for Control
UnsupervisedLearningofVisual3DKeypointsforControlBoyuanChen1PieterAbbeel1DeepakPathak2AbstractFigure1.Weproposeanend-to-endframeworkforunsupervisedlearningof3Dkeypointsfrommulti-viewimages.Thesekey...
3D Learning of for Unsupervised
2023-11-16 19:42:208233.34 MB20
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Understanding the Dynamics of Gradient Flow in Overparameterized Linear models
UnderstandingtheDynamicsofGradientFlowinOverparameterizedLinearModelsSalmaTarmoun12GuilhermeFranc¸a13BenjaminHaeffele14Rene´Vidal14Abstractathoroughanalysisofthedynamicsofoptimizationmeth-ods,suc...
of Gradient the in Understanding
2023-11-16 19:42:181229544.93 KB7
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Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers
UnderstandingInvarianceviaFeedforwardInversionofDiscriminativelyTrainedClassiﬁersPiotrTeterwak1ChiyuanZhang2DilipKrishnan2MichaelC.Mozer23Abstract1.IntroductionAdiscriminativelytrainedneuralnetcla...
of via Understanding Invariance Feedforward
2023-11-16 19:42:178552.36 MB2
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Uncertainty Principles of Encoding GANs
UncertaintyPrinciplesofEncodingGANsRuiliFeng1ZhouchenLin‡23JiapengZhu4DeliZhao5JinrenZhou5Zheng-JunZha†1Abstract1.IntroductionThecompellingsynthesisresultsofGenerativeGenerativeAdversarialNetwork...
of GANs Uncertainty Encoding Principles
2023-11-16 19:42:1616374.41 MB24
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Train simultaneously, generalize better Stability of gradient-based minimax learners
Trainsimultaneously,generalizebetter:Stabilityofgradient-basedminimaxlearnersFarzanFarnia1AsumanOzdaglar1Abstract2014)andadversarialtraining(Madryetal.,2017)haveachievedgreatsuccessoverawidearrayof...
of Stability Gradient-Based Better Generalize
2023-11-16 19:42:1313561.02 MB1
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Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
TowardstheUniﬁcationandRobustnessofPerturbationandGradientBasedExplanationsSushantAgarwal1ShahinJabbari2ChiragAgarwal2SohiniUpadhyay2ZhiweiStevenWu3HimabinduLakkaraju2Abstractcanunderstandandconse...
of and the Robustness Towards
2023-11-16 19:42:118431.4 MB13
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Towards Rigorous Interpretations a Formalisation of Feature Attribution
TowardsRigorousInterpretations:aFormalisationofFeatureAttributionDariusAfchar12RomainHennequin1VincentGuigue2Abstractcontrollinganddisentanglingeveryaspectofamodelpre-diction,rangingfromhowthedatai...
of Feature Attribution Towards Interpretations
2023-11-16 19:42:11708970.95 KB18
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Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning
TowardUnderstandingtheFeatureLearningProcessofSelf-supervisedContrastiveLearningZixinWen1YuanzhiLi2Abstractcanevenoutperformthoselearnedbysupervisedlearninginseveraldownstreamtasks.Theremakablepote...
Learning of Feature Process the
2023-11-16 19:42:0911312.88 MB3
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Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
TightBoundsontheSmallestEigenvalueoftheNeuralTangentKernelforDeepReLUNetworksQuynhNguyen1MarcoMondelli2GuidoMontufar13AbstractWeassumethatthenetworkhasasingleoutput,namelynL=1andWL∈RnL−1.Forconsi...
of on the bounds Tight
2023-11-16 19:42:071629577.47 KB22
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Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph
TheoryofSpectralMethodforUnionofSubspaces-BasedRandomGeometryGraphGenLi1YuantaoGu1AbstracttaskinprocessingdatapointsinUoSistoclusterthesedatapoints,whichisknownasSubspaceClustering(SC).Appli-Spectr...
of for Spectral Theory Method
2023-11-16 19:42:071704325.71 KB9
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The Power of Adaptivity for Stochastic Submodular Cover
ThePowerofAdaptivityforStochasticSubmodularCoverRohanGhuge1AnupamGupta2ViswanathNagarajan1Abstractsoleimanetal.,2015;Batenietal.,2018):herearetwoexamplesfromsensordeploymentandmedicaldiagnosis.Inth...
of for Submodular Stochastic the
2023-11-16 19:42:066222.32 MB10
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The Power of Log-Sum-Exp Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
ThePowerofLog-Sum-Exp:SequentialDensityRatioMatrixEstimationforSpeed-AccuracyOptimizationTaikiMiyagawa1AkinoriF.Ebihara1AbstractMorietal.,2018).Earlyclassiﬁcationoftimeseriesisamulti-objectiveopti...
of the Density Sequential Power
2023-11-16 19:42:066571.71 MB25
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The Lipschitz Constant of Self-Attention
TheLipschitzConstantofSelf-AttentionHyunjikKim1GeorgePapamakarios1AndriyMnih1Abstractconstraintforneuralnetworks,tocontrolhowmuchanet-work’soutputcanchangerelativetoitsinput.SuchLips-Lipschitzcons...
of the Lipschitz Self-Attention Constant
2023-11-16 19:42:06557498.83 KB23
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The Limits of Min-Max Optimization Algorithms Convergence to Spurious Non-Critical Sets
TheLimitsofMin-MaxOptimizationAlgorithms:ConvergencetoSpuriousNon-CriticalSetsYa-PingHsieh1PanayotisMertikopoulos23VolkanCevher4AbstractGivenanalgorithmforsolving(SP),itisthennaturaltoComparedtoord...
of Optimization Algorithms Convergence the
2023-11-16 19:42:068073.08 MB2
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The Impact of Record Linkage on Learning from Feature Partitioned Data
TheImpactofRecordLinkageonLearningfromFeaturePartitionedDataRichardNock1StephenHardy2WilkoHenecka2HamishIvey-Law3JakubNabaglo3GiorgioPatrini4GuillaumeSmith2BrianThorne5Abstract"whenisaglobaltrained...
Learning of on the Impact
2023-11-16 19:42:057253.36 MB14
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The Emergence of Individuality
TheEmergenceofIndividualityJiechuanJiang1ZongqingLu1Abstractmulti-cameramulti-objecttracking(Liuetal.,2017),wherecameraagentslearntocooperativelytrackmultipleobjects,Individualityisessentialinhuman...
of the Emergence Individuality
2023-11-16 19:42:046531.85 MB18
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Tensor Programs IIb Architectural Universality of Neural Tangent Kernel Training Dynamics
TensorProgramsIIb:ArchitecturalUniversalityofNeuralTangentKernelTrainingDynamicsGregYang1EtaiLittwin2AbstractIn(Yang,2020a),theNTKINITpropertywasproventoholdforstandardarchitectures,meaninganycompo...
of Neural Tensor Programs Universality
2023-11-16 19:42:0217771.2 MB2
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