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标签“Model”的相关文档，共76条

UnICORNN A recurrent Model for learning very long time dependencies
UnICORNN:ArecurrentModelforlearningverylongtimedependenciesT.KonstantinRusch1SiddharthaMishra1AbstractsuchasinLSTMs(Hochreiter&Schmidhuber,1997)andGRUs(Choetal.,2014),wheretheadditivestructureofThe...
Learning for Model Recurrent Long
2023-11-16 19:42:18578506.42 KB18
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Solving Inverse Problems with a Flow-based Noise Model
SolvingInverseProblemswithaFlow-basedNoiseModelJayWhang1QiLei2AlexandrosG.Dimakis3Abstractplausiblesolutionamongthem.SparsityhasclassicallybeenaveryinﬂuentialstructuralpriorforvariousinverseWestud...
with Model Inverse Problems Noise
2023-11-16 19:41:521314843.03 KB20
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SG-PALM a Fast Physically Interpretable Tensor Graphical Model
SG-PALM:aFastPhysicallyInterpretableTensorGraphicalModelYuWang1AlfredHero1Abstractsizeisoneifweaimtoestimatethedependencystructureacrossdifferentsensors,timeandexperimentalconditionsWeproposeanewgr...
Model Fast Graphical Tensor Interpretable
2023-11-16 19:41:46735968.22 KB12
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Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning
ScalableMarginalLikelihoodEstimationforModelSelectioninDeepLearningAlexanderImmer12MatthiasBauer†34VincentFortuin1GunnarRätsch12MohammadEmtiyazKhan5Abstract3layers,5221params1layer,151paramsMargL...
for Selection Model Estimation Scalable
2023-11-16 19:41:4214032.11 MB18
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Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model
Zero-ShotKnowledgeDistillationfromaDecision-BasedBlack-BoxModelZiWang1Abstractresource-limiteddevicessuchasmobilephonesanddrones(Moskalenkoetal.,2018).Recently,alargenumberofap-Knowledgedistillatio...
from Model Zero-Shot Knowledge Black-box
2023-11-16 19:41:2810523.53 MB2
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World Model as a Graph Learning Latent Landmarks for Planning
WorldModelasaGraph:LearningLatentLandmarksforPlanningLunjunZhang12GeYang3BradlyStadie4Abstract1.IntroductionPlanning,theabilitytoanalyzethestructureofaAnintelligentagentshouldbeabletosolvedifﬁcult...
Learning Model Graph Latent as
2023-11-16 19:41:2713183.41 MB11
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Whittle Networks A Deep Likelihood Model for Time Series
WhittleNetworks:ADeepLikelihoodModelforTimeSeriesZhongjieYu1FabrizioVentola1KristianKersting12Abstract2015).Consider,e.g.,thestockpricechangesofindus-trialsectorsshowninFig.1(Left).Thedropinlate201...
for Networks Model Deep Time
2023-11-16 19:41:2717722.17 MB21
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Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $ sqrt$T Regret
OnlinePolicyGradientforModelFre√eLearningofLinearQuadraticRegulatorswithTRegretAsafCassel1TomerKoren12AbstractModel-basedmethods,whichperformplanningbasedonasystemidentiﬁcationprocedurethatestima...
Learning for Online Gradient Model
2023-11-16 19:28:241218289.14 KB25
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NeRF-VAE A Geometry Aware 3D Scene Generative Model
NeRF-VAE:AGeometryAware3DSceneGenerativeModelAdamR.Kosiorek1HeikoStrathmann1DanielZoran1PolMoreno1RosaliaSchneider1SonˇaMokrá1DaniloJ.Rezende1Abstractticsofthebackground.Theresultingrepresentatio...
3D Generative Model Geometry Aware
2023-11-16 19:15:348663.04 MB24
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Monotonic Robust Policy Optimization with Model Discrepancy
MonotonicRobustPolicyOptimizationwithModelDiscrepancyYuankunJiang1ChenglinLi2WenruiDai1JunniZou1HongkaiXiong2Abstractcontroltasks,e.g.,playingcomputergameswithhuman-levelperformance(Mnihetal.,2013;...
Optimization with Model Robust Policy
2023-11-16 19:15:2814732.57 MB9
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Mandoline Model Evaluation under Distribution Shift
MANDOLINE:ModelEvaluationunderDistributionShiftMayeeChen1KaranGoel1NimitSohoni2FaitPoms1KayvonFatahalian1ChristopherRe´1AbstracttionerstodetermineiftheirModelswillperformwellwhendeployed.Unfortuna...
Model Evaluation under Distribution Shift
2023-11-16 19:05:131636673.2 KB11
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Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
LatentSpaceEnergy-BasedModelofSymbol-VectorCouplingforTextGenerationandClassiﬁcationBoPang1YingNianWu1Abstractmostofpriormethodsfocusontheimprovementoftextgenerationqualitysuchasﬂuencyanddiversit...
of Model Coupling Latent Space
2023-11-16 19:04:571452652.61 KB24
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Model Performance Scaling with Multiple Data Sources
ModelPerformanceScalingwithMultipleDataSourcesTatsunoriHashimoto1AbstractprovidespowerfultoolstoimproveandevaluateModelbe-havior,butalsoposesanadditionalchallenge:whatistheReal-worldmachinelearning...
with Model Data Multiple Scaling
2023-11-16 19:04:561591686.29 KB6
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Model Fusion for Personalized Learning
ModelFusionforPersonalizedLearningChiThanhLam1TrongNghiaHoang2BryanKianHsiangLow1PatrickJaillet3Abstract(Finnetal.,2017;Yoonetal.,2018)andpersonalizedfeder-atedlearning(Fallahetal.,2020;Dinhetal.,2...
Learning for Model Personalized Fusion
2023-11-16 19:04:56602913.34 KB9
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Model Distillation for Revenue Optimization Interpretable Personalized Pricing
ModelDistillationforRevenueOptimization:InterpretablePersonalizedPricingMaxBiggs1WeiSun2MarkusEttl2AbstractmainconcernsisthatthemostaccuratepredictionModelsareoftennon-parametricfunctionswhichareco...
for Optimization Model Interpretable Distillation
2023-11-16 19:04:561396504.65 KB30
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Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
IsometricGaussianProcessLatentVariableModelforDissimilarityDataMartinJørgensen1SørenHauberg2AbstractPCAProbabilisticTopologyDistanceMDSWepresentaprobabilisticModelwherethelatentIsoMap()()variable...
for Model Gaussian Process Latent
2023-11-16 18:47:0510564 MB8
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GraphDF A Discrete Flow Model for Molecular Graph Generation
GraphDF:ADiscreteFlowModelforMolecularGraphGenerationYouzhiLuo1KeqiangYan1ShuiwangJi1Abstractdatatocontinuousdatabyaddingreal-valuednoise.How-ever,suchdequantizationprocessingpreventsModelsfromWeco...
for Model Graph Discrete Molecular
2023-11-16 18:46:511689850.67 KB4
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Grad-TTS A Diffusion Probabilistic Model for Text-to-Speech
Grad-TTS:ADiffusionProbabilisticModelforText-to-SpeechVadimPopov1IvanVovk12VladimirGogoryan12TasnimaSadekova1MikhailKudinov1Abstract2014)andNormalizingFlows(Rezende&Mohamed,2015)wereusedinthedesign...
for Model Diffusion Probabilistic Text-to-Speech
2023-11-16 18:46:499962.58 MB12
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GANMEX One-vs-One Attributions using GAN-based Model Explainability
GANMEX:One-vs-OneAttributionsusingGAN-basedModelExplainabilitySheng-MinShih1Pin-JuTienZoharKarnin1AbstractmachinelearningtaskswiththehelpofincreasingModelcomplexities,whichatthesametimereducesModel...
Using Model Attributions GANMEX One-vs-One
2023-11-16 18:37:567404.52 MB4
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Debiasing Model Updates for Improving Personalized Federated Training
DebiasingModelUpdatesforImprovingPersonalizedFederatedTrainingDurmusAlpEmreAcar1YueZhao2RuizhaoZhu1RamonMatasNavarro2MatthewMattina2PaulN.Whatmough2VenkateshSaligrama1Abstractofdevicesparticipating...
for Model Updates Improving Personalized
2023-11-16 18:30:57813405.17 KB5
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