"Models"的相关文档 - 文库宝

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标签“Models”的相关文档，共143条

Certified Data Removal from Machine Learning Models
CertiﬁedDataRemovalfromMachineLearningModelsChuanGuo1TomGoldstein2AwniHannun2LaurensvanderMaaten2Abstractinferenceattacks(Yeometal.,2018;Carlinietal.,2019)areunsuccessfulondatathatwasremovedfromth...
Learning from Models Data Machine
2023-11-14 21:43:2511466.82 MB1
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Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
BayesianExperimentalDesignforImplicitModelsbyMutualInformationNeuralEstimationStevenKleinegesse1MichaelU.Gutmann1Abstractology(Coranderetal.,2017),cellbiology(Voetal.,2015)andpharmacokinetics(Donne...
for Models by Bayesian Design
2023-11-14 21:43:121568783.32 KB22
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Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
AdversarialAttacksonProbabilisticAutoregressiveForecastingModelsRaphae¨lDang-Nhu1GagandeepSingh1PavolBielik1MartinVechev1Abstractsinglebestvaluehasseveraladvantages–itnaturallyﬁtstheinherentlyst...
Adversarial Models on Probabilistic Autoregressive
2023-11-14 21:43:00942687.73 KB4
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ACFlow Flow Models for Arbitrary Conditional Likelihoods
ACFlow:FlowModelsforArbitraryConditionalLikelihoodsYangLi1ShoaibAkbar2JunierB.Oliva1Abstractchinelearning.TheseModelslearnanapproximationoftheunderlyingdatadistributionandarecapableofdrawingre-Unde...
for Models Conditional Arbitrary Flow
2023-11-14 21:42:566751.93 MB1
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Validating Causal Inference Models via Influence Functions
ValidatingCausalInferenceModelsviaInﬂuenceFunctionsAhmedM.Alaa1MihaelavanderSchaar123AbstractFigure1.Pictorialrepresentationofourvalidationprocedure.ToestimatetheperformancesoftwocompetingModels(m...
Inference Models via Causal Functions
2023-11-13 14:48:5618181.03 MB27
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Sensitivity Analysis of Linear Structural Causal Models
SensitivityAnalysisofLinearStructuralCausalModelsCarlosCinelli1DanielKumor2BryantChen3JudeaPearl1EliasBareinboim2Abstractdertoobtaincausalclaims.Theseassumptionsareusuallyencodedastheabsenceofcerta...
Structural of Models Analysis Causal
2023-11-13 14:48:321121352.18 KB23
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Robust Influence Maximization for Hyperparametric Models
RobustInﬂuenceMaximizationforHyperparametricModelsDimitrisKalimeris1GalKaplun1YaronSinger1AbstractThemostwellstudiedmodelforinformationspreadisthecelebratedIndependentCascade(IC)model.InthismodelI...
for Maximization Models Robust Influence
2023-11-13 14:48:2616601.83 MB18
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Processing Megapixel Images with Deep Attention-Sampling Models
ProcessingMegapixelImageswithDeepAttention-SamplingModelsAngelosKatharopoulos12Franc¸oisFleuret12Abstract(b)Existingdeeparchitecturescannotoperateonvery(a)(c)largesignalssuchasmegapixelimagesdueto...
Models with Deep Images Processing
2023-11-13 14:48:1719081.19 MB9
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Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering
ProbabilisticNeural-symbolicModelsforInterpretableVisualQuestionAnsweringRamakrishnaVedantam1KaranDesai2StefanLee2MarcusRohrbach1DhruvBatra12DeviParikh12AbstractSymbolmanipulation(Newell&Simon,1976...
Neural for Models Probabilistic Symbolic
2023-11-13 14:48:1613361.04 MB2
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Partially Linear Additive Gaussian Graphical Models
PartiallyLinearAdditiveGaussianGraphicalModelsSinongGeng1MinhaoYan2MladenKolar3OluwasanmiKoyejo4Abstractceptibletoconfoundingfromphysiologicalnoisesuchassubjectmotion(VanDijketal.,2012;Gotoetal.,20...
Models Gaussian Graphical Linear Partially
2023-11-13 14:48:13993673.9 KB14
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Mixture Models for Diverse Machine Translation Tricks of the Trade
MixtureModelsforDiverseMachineTranslation:TricksoftheTradeTianxiaoShen1MyleOtt2MichaelAuli2Marc’AurelioRanzato2Abstractstylessuchasformal/informal,literal/notliteral,etc.Thisraisesthequestionofhow...
for Models Machine Translation Diverse
2023-11-13 14:47:5219151.2 MB27
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Mallows ranking Models maximum likelihood estimate and regeneration
MallowsRankingModels:MaximumLikelihoodEstimateandRegenerationWenpinTang1AbstractSnbethesetofpermutationsof[n]:={1,...,n}.TheparametricmodelThispaperisconcernedwithvariousMallowsrankingModels.Westud...
Models and Maximum Ranking Likelihood
2023-11-13 14:47:481055334.47 KB5
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Locally Private Bayesian Inference for Count Models
LocallyPrivateBayesianInferenceforCountModelsAaronSchein1ZhiweiStevenWu2AlexandraSchoﬁeld3MingyuanZhou4HannaWallach5AbstractTowardthatend,wepresentamethodforprivacy-preservingBayesianinferenceforP...
for Inference Models Bayesian Private
2023-11-13 14:47:4619042.99 MB26
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Learning Neurosymbolic Generative Models via Program Synthesis
LearningNeurosymbolicGenerativeModelsviaProgramSynthesisHalleyYoung1OsbertBastani1MayurNaik1Abstractblereconstructingtheoriginalimage(right)(IIzukaetal.,2017).Real-worlddataoftencontainssuchglobals...
Learning Models Generative via Synthesis
2023-11-13 14:47:405913.78 MB16
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Learning Models from Data with Measurement Error Tackling Underreporting
LearningModelsfromDatawithMeasurementError:TacklingUnderreportingRoyAdams1YuelongJi2XiaobinWang2SuchiSaria134Abstract1.IntroductionMeasurementerrorinobservationaldatasetscanMeasurementerrorinobserv...
Learning from Models with Data
2023-11-13 14:47:3914463.32 MB16
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Learning interpretable continuous-time Models of latent stochastic dynamical systems
Learninginterpretablecontinuous-timeModelsoflatentstochasticdynamicalsystemsLeaDuncker1Gergo˝Bohner1JulienBoussard2ManeeshSahani1Abstractaccuratelymodelledusingadiscretetimegrid.Wedevelopanapproac...
Learning of Models Stochastic Latent
2023-11-13 14:47:3918811.65 MB1
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Learning Generative Models across Incomparable Spaces
LearningGenerativeModelsacrossIncomparableSpacesCharlotteBunne1DavidAlvarez-Melis2AndreasKrause1StefanieJegelka2Abstractof28×28-pixelvectorsforMNIST),andthegenerateddis-tributionthatminimizestheob...
Learning Models Generative Spaces Across
2023-11-13 14:47:3817662.37 MB5
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Learning Dependency Structures for Weak Supervision Models
LearningDependencyStructuresforWeakSupervisionModelsParomaVarma1FredericSala2AnnHe2AlexanderRatner2ChristopherRe´2Abstracttreatingthetruelabelasalatentvariable(Alfonsecaetal.,2012;Takamatsuetal.,2...
Learning for Models Weak Structures
2023-11-13 14:47:36805311.95 KB12
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Inference and Sampling of $K_33$-free Ising Models
InferenceandSamplingofK33-freeIsingModelsValeriiLikhosherstov1YuryMaximov12MichaelChertkov123Abstractoneofthemostsigniﬁcantcontributionsintheoreticalandmathematicalphysicsofthe20thcentury.Then,Kac...
of Inference Sampling Models and
2023-11-13 14:47:31871471.46 KB27
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Hybrid Models with Deep and Invertible Features
HybridModelswithDeepandInvertibleFeaturesEricNalisnick1AkihiroMatsukawa1YeeWhyeTeh1DilanGorur1BalajiLakshminarayanan1Abstractdetection(Bishop,1994),semi-supervisedlearning(Drucketal.,2007),andinfor...
Models and with Deep Features
2023-11-13 14:47:2615641.27 MB21
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