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标签“Using”的相关文档，共97条

Operation-Aware Soft Channel Pruning Using Differentiable Masks
Operation-AwareSoftChannelPruningUsingDifferentiableMasksMinsooKang1BohyungHan1AbstractNotUpdated1.00.0UpdatedstrongweakBinaryMasksFeatureMapWeproposeasimplebuteffectivedata-drivenDifferentiableMas...
Using Differentiable Soft Pruning Channel
2023-11-14 21:45:40595582.05 KB19
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Multi-objective Bayesian Optimization Using Pareto-frontier Entropy
Multi-objectiveBayesianOptimizationUsingPareto-frontierEntropyShinyaSuzuki1ShionTakeno12TomoyukiTamura34KazukiShitara56MasayukiKarasuyama147AbstractcanbeformulatedasjointlymaximizingLunknownfunc-ti...
Using Optimization Bayesian Entropy Multi-objective
2023-11-14 21:45:161741693.64 KB11
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Missing Data Imputation Using Optimal Transport
MissingDataImputationUsingOptimalTransportBorisMuzellec1JulieJosse23ClaireBoyer4MarcoCuturi51Abstractwithplausiblevalues,areveryappealingastheyallowtobothgetaguessforthemissingentriesaswellastoper-...
Using Data Optimal Transport Imputation
2023-11-14 21:45:1214904.27 MB28
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Mapping natural-language problems to formal-language solutions Using structured neural representations
MappingNatural-languageProblemstoFormal-languageSolutionsUsingStructuredNeuralRepresentationsKezhenChen12QiuyuanHuang1HamidPalangi1PaulSmolensky13KennethD.Forbus2JianfengGao1Abstractdescriptions.Th...
Using to Problems Mapping Solutions
2023-11-14 21:45:077632.37 MB23
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Learning Calibratable Policies Using Programmatic Style-Consistency
LearningCalibratablePoliciesUsingProgrammaticStyle-ConsistencyEricZhan1AlbertTseng1YisongYue1AdithSwaminathan2MatthewHausknecht2Abstractthatthebehaviorscanexhibitverydiversestyles(e.g.,frommultiple...
Learning Using Policies Programmatic Calibratable
2023-11-14 21:44:5114581.88 MB18
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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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Hierarchical Generation of Molecular Graphs Using Structural Motifs
HierarchicalGenerationofMolecularGraphsUsingStructuralMotifsWengongJin1ReginaBarzilay1TommiJaakkola1Abstractgradientsacrosstheiterativesteps.Graphgenerationtechniquesareincreasinglybe-Largemolecule...
Structural of Using Generation Hierarchical
2023-11-14 21:44:3016171.34 MB15
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Forecasting sequential data Using Consistent Koopman Autoencoders
ForecastingSequentialDataUsingConsistentKoopmanAutoencodersOmriAzencot1N.BenjaminErichson2VanessaLin2MichaelW.Mahoney2Abstractchallengeandmoreover,modelingshort-termdependenciesmightalsobeaffectedd...
Using Autoencoders Data Consistent Sequential
2023-11-14 21:44:1518173.85 MB13
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Feature Selection Using Stochastic Gates
FeatureSelectionUsingStochasticGatesYutaroYamada1OﬁrLindenbaum2SahandNegahban1YuvalKluger23Abstract(e.g.,genesorproteins)oftenexceedsthenumberofsam-ples.Inthissetting,featureselectioncanleadtoimpr...
Using Feature Selection Stochastic Gates
2023-11-14 21:44:1214863.28 MB23
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Data Valuation Using Reinforcement Learning
DataValuationUsingReinforcementLearningJinsungYoon1SercanO¨.Arık1TomasPﬁster1Abstracttainedbyremovingasigniﬁcantportionoftrainingsamples(Ferdowsietal.,2013;Frenay&Verleysen,2014).More-Quantifyi...
Learning Using Reinforcement Data Valuation
2023-11-14 21:43:421111958.55 KB7
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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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Causal Inference Using Gaussian Processes with Structured Latent Confounders
CausalInferenceUsingGaussianProcesseswithStructuredLatentConfoundersSamWitty1KentaTakatsu1DavidJensen1VikashMansinghka2Abstractwhileproducingdifferentestimatesoftheeffectsofanin-tervention.Thisobse...
Using Inference with Gaussian Processes
2023-11-14 21:43:2315451.82 MB29
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Bayesian Learning from Sequential Data Using Gaussian Processes with Signature Covariances
BayesianLearningfromSequentialDataUsingGaussianProcesseswithSignatureCovariancesCsabaToth1HaraldOberhauser1Abstracttoavarietyoftasksinvolvingsequentialdata(Sutskeveretal.,2014;Oordetal.,2016).Deepl...
Learning from Using Gaussian Bayesian
2023-11-14 21:43:1316383.06 MB30
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Using Pre-Training Can Improve Model Robustness and Uncertainty
UsingPre-TrainingCanImproveModelRobustnessandUncertaintyDanHendrycks1KiminLee2MantasMazeika3AbstractSurprisingly,pre-trainingprovidesnoperformancebene-ﬁtonvarioustasksandarchitecturesovertrainingf...
Using and Model Can Improve
2023-11-13 14:48:557823.51 MB14
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Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
Sample-OptimalParametricQ-LearningUsingLinearlyAdditiveFeaturesLinF.Yang1MengdiWang1Abstractthistheoretical-sharpresultdoesnotgeneralizetopracticalproblemswhereS,Acanbearbitrarilylargeorinﬁnite.Co...
Using Features Parametric Q-learning Additive
2023-11-13 14:48:28843343.22 KB19
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POLITEX Regret Bounds for Policy Iteration Using Expert Prediction
POLITEX:RegretBoundsforPolicyIterationUsingExpertPredictionYasinAbbasi-Yadkori1PeterL.Bartlett2KushBhatia2NevenaLazic´3CsabaSzepesvári4GellértWeisz4Abstractmodel-basedalgorithms,andtheoreticalev...
for Using Policy Regret bounds
2023-11-13 14:48:151138942.58 KB26
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Obtaining Fairness Using Optimal Transport Theory
ObtainingFairnessUsingOptimalTransportTheoryEustasiodelBarrio1FabriceGamboa2PaulaGordaliza21Jean-MichelLoubes2Abstractwereferto(Zafaretal.,2017)or(Friedleretal.,2018).Inthefairclassiﬁcationsetup,w...
Using Optimal Transport Theory Fairness
2023-11-13 14:48:011336571.19 KB16
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LR-GLM High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
LR-GLM:High-DimensionalBayesianInferenceUsingLow-RankDataApproximationsBrianL.Trippe1JonathanH.Huggins2RajAgrawal1TamaraBroderick1Abstractpresenceofadiseaseoramedicalpractitionermaywishtounderstand...
Using Inference Low-Rank High-dimensional Bayesian
2023-11-13 14:47:4815031.62 MB4
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Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
LearningFastAlgorithmsforLinearTransformsUsingButterﬂyFactorizationsTriDao1AlbertGu1MatthewEichhorn2AtriRudra2ChristopherRe´1Abstractturegeneration,andkernelapproximation,toimageandlanguagemodeli...
Learning for Using Algorithms Fast
2023-11-13 14:47:381450491.89 KB17
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Improving Neural Network Quantization without Retraining Using Outlier Channel Splitting
ImprovingNeuralNetworkQuantizationwithoutRetrainingUsingOutlierChannelSplittingRitchieZhao1YuweiHu1JordanDotzel1ChristopherDeSa1ZhiruZhang1AbstracttoreducingthecostsofDNNexecutionistoquantizetheﬂo...
Neural Using without Improving Network
2023-11-13 14:47:301441419.36 KB5
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