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标签“of”的相关文档，共557条

A Precise Performance Analysis of Support Vector Regression
APrecisePerformanceAnalysisofSupportVectorRegressionHoussemSifaou1AblaKammoun1Mohamed-SlimAlouini1AbstractofNakkiranetal.(Nakkiranetal.,2020a;b)indicatesthatmoredatamayharmtheperformance.Onepotenti...
of Analysis Regression Vector Support
2023-11-16 17:51:571092522.01 KB19
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A New Representation of Successor Features for Transfer across Dissimilar Environments
ANewRepresentationofSuccessorFeaturesforTransferacrossDissimilarEnvironmentsMajidAbdolshah1HungLe1ThommenKarimpanalGeorge1SunilGupta1SantuRana1SvethaVenkatesh1Abstractintoindependentsub-domains.How...
of for Transfer Representation New
2023-11-16 17:51:5611571.21 MB30
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Visual Grounding of Learned Physical Models
VisualGroundingofLearnedPhysicalModelsYunzhuLi1ToruLin1KexinYi2DanielM.Bear3DanielL.K.Yamins3JiajunWu4JoshuaB.Tenenbaum5AntonioTorralba5Abstractdynamicsofphysicalsystemsappliestonotonlyrigidbod-ies...
of Models Learned physical Visual
2023-11-14 21:47:0111403.38 MB21
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Voice Separation with an Unknown Number of Multiple Speakers
VoiceSeparationwithanUnknownNumberofMultipleSpeakersEliyaNachmani12YossiAdi1LiorWolf12Abstractthispartialrepresentations.Sincetheorderofthespeakersisconsideredarbitrary(itishardtosortvoices),oneuse...
of An with Voice unknown
2023-11-14 21:47:011345476.95 KB25
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Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
UnsupervisedDiscoveryofInterpretableDirectionsintheGANLatentSpaceAndreyVoynov1ArtemBabenko12Abstract-Thickness+ThelatentspacesofGANmodelsoftenhave-Hair+semanticallymeaningfuldirections.Mov-inginthe...
of Unsupervised Discovery the in
2023-11-14 21:46:5715963.12 MB9
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Universal Asymptotic Optimality of Polyak Momentum
UniversalAverage-CaseOptimalityofPolyakMomentumDamienScieur1FabianPedregosa2Abstractmizationmethods.Thesimplexmethod,forexample,hasaworst-caseexponentialcomplexity,thatbecomespolyno-Polyakmomentum(...
of Momentum Optimality universal Asymptotic
2023-11-14 21:46:56571716.04 KB29
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Unique Properties of Wide Minima in Deep Networks
UniquePropertiesofFlatMinimainDeepNetworksRotemMulayoff1TomerMichaeli1Abstractmodels(Gunasekaretal.,2018b)anddeepnonlinearnet-workswithhomogeneousactivationfunctions(Lyu&Li,Itiswellknownthat(stocha...
of Deep in Minima Wide
2023-11-14 21:46:5512801.32 MB23
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Uniform Convergence of Rank-weighted Learning
UniformConvergenceofRank-weightedLearningJustinKhim1LiuLeqi1AdarshPrasad1PradeepRavikumar1Abstractlearning,wherepercentilebasedriskmeasureshavebeenusedtoquantifythetail-riskofmodels.ArecentlineofTh...
Learning of Convergence Uniform Rank-weighted
2023-11-14 21:46:551643935.33 KB11
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Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
UnderstandingtheImpactofModelIncoherenceonConvergenceofIncrementalSGDwithRandomReshuffeShaocongMa1YiZhou1Abstractthesamplelossofthei-thdatasample.Suchaproblemformulationcoversavarietyofmachinelearn...
of Model on the Understanding
2023-11-14 21:46:557873.24 MB25
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Understanding the Curse of Horizon in off-Policy Evaluation via Conditional Importance Sampling
UnderstandingtheCurseofHorizoninoff-PolicyEvaluationviaConditionalImportanceSamplingYaoLiu1Pierre-LucBacon2EmmaBrunskill1Abstractincreasinginterestindevelopingaccurateandefﬁcientalgo-rithmsforoff-...
of the in Off-Policy Understanding
2023-11-14 21:46:541891287.9 KB23
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Understanding and Estimating the Adaptability of Domain-Invariant Representations
EstimatingGeneralizationunderDistributionShiftsviaDomain-InvariantRepresentationsChing-YaoChuang1AntonioTorralba1StefanieJegelka1AbstractAISafety(Amodeietal.,2016),motivatingrecentworkonestimatingt...
of and the Estimating Understanding
2023-11-14 21:46:535126.7 MB24
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Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time
TransformationofReLU-basedrecurrentneuralnetworksfromdiscrete-timetocontinuous-timeZahraMonfared1DanielDurstewitz12AbstractMorerecently,inthenaturalsciences,biologyandphysicsinparticular,RNNswereal...
of Neural from Networks Recurrent
2023-11-14 21:46:5116791.01 MB6
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Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
TowardsUnderstandingtheRegularizationofAdversarialRobustnessonNeuralNetworksYuxinWen12ShuaiLi1KuiJia12Abstract(Szegedyetal.,2014).Moreintriguingly,theseadversarialexamplesaregeneratedbyaddingimperc...
of Adversarial the Robustness Regularization
2023-11-14 21:46:499111.65 MB13
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Towards Understanding the Dynamics of the First-Order Adversaries
TowardsUnderstandingtheDynamicsoftheFirst-OrderAdversariesZhunDeng1HangfengHe2JiaoyangHuang3WeijieJ.Su2Abstractattackssuchasinputde-noising(Guoetal.,2017),random-izedsmoothing(Ilyasetal.,2019),grad...
of the Towards Understanding Dynamics
2023-11-14 21:46:4917591.3 MB10
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Towards a General Theory of Infinite-Width Limits of Neural Classifiers
TowardsaGeneralTheoryofInﬁnite-WidthLimitsofNeuralClassiﬁersEugeneA.Golikov1Abstractofinﬁnitewidth.Inparticular,(Jacotetal.,2018)showedthatifweightsareparameterizedinacertainwaythentheObtainingt...
of Neural Theory General Towards
2023-11-14 21:46:481896572.07 KB9
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The role of regularization in classification of high-dimensional noisy Gaussian mixture
TheRoleofRegularizationinClassiﬁcationofHigh-dimensionalNoisyGaussianMixtureFrancescaMignacco1FlorentKrzakala2YueM.Lu3PierfrancescoUrbani1LenkaZdeborova´1Abstractgeneratedasv∗√Weconsiderahigh-d...
of the High-dimensional in Classification
2023-11-14 21:46:4511874.42 MB14
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The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons
TheSampleComplexityofBest-kItemsSelectionfromPairwiseComparisonsWenboRen1JiaLiu2NessB.Shroff13Abstract1.IntroductionThispaperstudiesthesamplecomplexity(aka1.1.BackgroundandMotivationnumberofcompari...
of Selection Complexity the Sample
2023-11-14 21:46:451398436.55 KB24
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The Non-IID Data Quagmire of Decentralized Machine Learning
TheNon-IIDDataQuagmireofDecentralizedMachineLearningKevinHsieh12AmarPhanishayee1OnurMutlu32PhillipB.Gibbons2AbstractTheseconstraintsmotivatetheneedforMLtrainingoverwidelydistributeddata(decentraliz...
of the Data Decentralized Machine
2023-11-14 21:46:45612843.51 KB25
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The k-tied Normal Distribution A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
Thek-tiedNormalDistribution:ACompactParameterizationofGaussianMeanFieldPosteriorsinBayesianNeuralNetworksJakubSwiatkowski1+KevinRoth2+BastiaanS.Veeling34+LinhTran5+JoshuaV.Dillon4JasperSnoek4Stepha...
of the Compact Distribution Normal
2023-11-14 21:46:4418211.81 MB28
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The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
TheIntrinsicRobustnessofStochasticBanditstoStrategicManipulationZheFeng1DavidC.Parkes1HaifengXu2Abstractabletomodulateitsownrewardfeedbackinordertofurtheritsownobjective,e.g.,increasingthenumberoft...
of Stochastic the to Bandits
2023-11-14 21:46:441311420.56 KB12
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