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标签“with”的相关文档，共634条

iDARTS Differentiable Architecture Search with Stochastic Implicit Gradients
iDARTS:DifferentiableArchitectureSearchwithStochasticImplicitGradientsMiaoZhang12StevenSu2ShiruiPan1XiaojunChang1EhsanAbbasnejad3RezaHaffari1Abstractplications(Renetal.,2020;Chengetal.,2020;Cheneta...
with Stochastic Search Differentiable Architecture
2023-11-16 18:46:591196367.18 KB29
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High-Dimensional Gaussian Process Inference with Derivatives
High-DimensionalGaussianProcessInferencewithDerivativesFilipdeRoos12AlexandraGessner12PhilippHennig12AbstractwhichhascausedconsiderableinterestinGPmodelingduetothewidevarietyofapplicationsinwhichde...
Inference with Gaussian Process High-dimensional
2023-11-16 18:46:55663721.29 KB24
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Guided Exploration with Proximal Policy Optimization using a Single Demonstration
GuidedExplorationwithProximalPolicyOptimizationusingaSingleDemonstrationGabrieleLibardi1SebastianDittert1GianniDeFabritiis12AbstractLearningfromdemonstrationsallowstodirectlybypassthisproblembutito...
Using Optimization with Policy Proximal
2023-11-16 18:46:531819961.55 KB4
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Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-ConditionedReinforcementLearningwithImaginedSubgoalsElliotChane-Sane1CordeliaSchmid1IvanLaptev1AbstractFigure1.IllustrationoftheKL-regularizedpolicylearningusingimaginedsubgoals.(Left):Thepoli...
Learning with Reinforcement Goal-Conditioned Imagined
2023-11-16 18:46:4816451.3 MB12
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Generating images with sparse representations
GeneratingimageswithsparserepresentationsCharlieNash1JacobMenick1SanderDieleman1PeterBattaglia1AbstractFigure1.Imagesoftenhavesparsestructure,withsalientcontentdistributedunevenlyacrosslocations.Ou...
Representations Sparse with Images Generating
2023-11-16 18:46:4519146.87 MB12
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Generalization Guarantees for Neural Architecture Search with Train-Validation Split
GeneralizationGuaranteesforNeuralArchitectureSearchwithTrain-ValidationSplitSametOymak1MingchenLi2MahdiSoltanolkotabi3Abstractportantfordeeplearningapplicationswheretherearemanypossibilitiesforchoo...
Neural for with Guarantees Search
2023-11-16 18:46:4516522.16 MB29
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Large-Scale Meta-Learning with Continual Trajectory Shifting
Large-ScaleMeta-LearningwithContinualTrajectoryShiftingJaeWoongShin1HaeBeomLee1BoqingGong21SungJuHwang13Abstractexamples(Lakeetal.,2015;Vinyalsetal.,2016;Santoroetal.,2016;Snelletal.,2017;Finnetal....
with Continual Large-Scale Meta-Learning Trajectory
2023-11-16 18:46:4315208.81 MB23
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Large-Margin Contrastive Learning with Distance Polarization Regularizer
Large-MarginContrastiveLearningwithDistancePolarizationRegularizerShuoChen1GangNiu1ChenGong2JunLi2JianYang2MasashiSugiyama13AbstractIntra/Inter-ClusterDistanceEnlargementPolarizationContrastivelear...
Learning with Regularizer Distance Contrastive
2023-11-16 18:46:42822911.65 KB11
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K-shot NAS Learnable Weight-Sharing for NAS with K-shot Supernets
K-shotNAS:LearnableWeight-SharingforNASwithK-shotSupernetsXiuSu1ShanYou23MingkaiZheng2FeiWang2ChenQian2ChangshuiZhang3ChangXu1Abstractefforthavedevotedtodesigningsophisticatedstructures,suchasResNe...
for with Learnable Supernets K-shot
2023-11-16 18:46:41988488.9 KB4
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Fixed-Parameter and Approximation Algorithms for PCA with Outliers
Fixed-ParameterandApproximationAlgorithmsforPCAwithOutliersYogeshDahiya1FedorFomin2FahadPanolan3KirillSimonov2AbstractYoung,1936),PCAisefﬁcientlysolvableviaSingularValueDecomposition(SVD).PCAisuse...
for and Algorithms Approximation with
2023-11-16 18:38:12646437.79 KB8
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Finding the Stochastic Shortest Path with Low Regret the Adversarial Cost and Unknown Transition Case
FindingtheStochasticShortestPathwithLowRegret:TheAdversarialCostandUnknownTransitionCaseLiyuChen1HaipengLuo1Abstractendwithinaﬁxednumberofstepsisextensivelystudiedinrecentyears(oftenknownasepisodi...
with Stochastic the low Path
2023-11-16 18:38:12797422.01 KB6
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Few-Shot Conformal Prediction with Auxiliary Tasks
Few-shotConformalPredictionwithAuxiliaryTasksAdamFisch1TalSchuster1TommiJaakkola1ReginaBarzilay1Abstractforcreatingconﬁdence-basedsetpredictions(Vovketal.,2005).Concretely,supposewehavebeengivenne...
with Auxiliary Prediction Tasks Few-shot
2023-11-16 18:38:1117371.76 MB12
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Federated Continual Learning with Weighted Inter-client Transfer
FederatedContinualLearningwithWeightedInter-clientTransferJaehongYoon1WonyongJeong12GiwoongLee1EunhoYang12SungJuHwang12AbstractFigure1.Concept.Acontinuallearneratahospitalwhichlearnsonsequenceofdis...
Learning with Continual Transfer Weighted
2023-11-16 18:38:105395.04 MB27
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Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
FastAlgorithmsforStackelbergPredictionGamewithLeastSquaresLossJialiWang1HeChen2RujunJiang1XudongLi1ZihaoLi2Abstractcertainareas,suchascybersecurity,thenatureofapplica-tionsrequireshighrobustnessofM...
for Algorithms with Fast Prediction
2023-11-16 18:38:071638451.7 KB21
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Fairness for Image Generation with Uncertain Sensitive Attributes
FairnessforImageGenerationwithUncertainSensitiveAttributesAjilJalal1SushrutKarmalkar2JessicaHoffmann2AlexandrosG.Dimakis1EricPrice2Abstractrecentcontroversieshaveeruptedoverhowcurrentmachinelearnin...
for Generation with Image Fairness
2023-11-16 18:38:0715395.37 MB16
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Fair Classification with Noisy Protected Attributes A Framework with Provable Guarantees
FairClassiﬁcationwithNoisyProtectedAttributes:AFrameworkwithProvableGuaranteesL.ElisaCelis1LingxiaoHuang2VijayKeswani1NisheethK.Vishnoi3Abstractξ0:=(f=1).Then,givenaperformancefunction,fairnessco...
with Classification Attributes Noisy Framework
2023-11-16 18:38:06586741.4 KB29
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Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
ExponentialReductioninSampleComplexitywithLearningofIsingModelDynamicsArkopalDutt1AndreyY.Lokhov2MarcVuffray2SidhantMisra2Abstractmeasurementsandexperiments.Asthesesamplesaretime-consumingorcostlyt...
Learning with Complexity Reduction in
2023-11-16 18:38:0618792.37 MB7
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Explaining Time Series Predictions with Dynamic Masks
ExplainingTimeSeriesPredictionswithDynamicMasksJonathanCrabbe´1MihaelavanderSchaar123Abstractofexplainableartiﬁcialintelligence(XAI)thrived(BarredoArrietaetal.,2020;Das&Rad,2020;Tjoa&Guan,2020).H...
with Dynamic Time Series Predictions
2023-11-16 18:38:048871.54 MB30
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Explainable Automated Graph Representation Learning with Hyperparameter Importance
ExplainableAutomatedGraphRepresentationLearningwithHyperparameterImportanceXinWang1ShuyiFan1KunKuang2WenwuZhu1Abstract1.IntroductionCurrentgraphrepresentation(GR)algorithmsre-Graphrepresentation(GR...
Learning with Graph Automated Hyperparameter
2023-11-16 18:38:039615.39 MB1
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Evolving Attention with Residual Convolutions
EvolvingAttentionwithResidualConvolutionsYujingWang1YamingYang2JiangangBai12MingliangZhang12JingBai2JingYu3CeZhang4GaoHuang5YunhaiTong1Abstract8079.6379.1Transformerisaubiquitousmodelfornaturallan-...
with Attention Convolutions Residual Evolving
2023-11-16 18:38:036071.61 MB6
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