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标签“with”的相关文档，共634条

Variational Inference for Sequential Data with Future Likelihood Estimates
VariationalInferenceforSequentialDatawithFutureLikelihoodEstimatesGeon-HyeongKim1YoungsooJang1HongseokYang1Kee-EungKim12Abstractdiscretelatentvariables),learningandanalyzingthemodelsforhigh-dimensi...
for Inference Variational with Data
2023-11-14 21:46:59696436.07 KB12
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Variational Autoencoders with Riemannian Brownian Motion Priors
VariationalAutoencoderswithRiemannianBrownianMotionPriorsDimitrisKalatzis1DavidEklund2GeorgiosArvanitidis3SørenHauberg1AbstractFigure1.ThelatentspacepriorsoftwoVAEstrainedonthedigit1fromMNIST.Left...
Variational Autoencoders with Priors Riemannian
2023-11-14 21:46:596097.62 MB1
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Variance Reduced Coordinate Descent with Acceleration New Method with a Surprising Application to Finite-Sum Problems
VarianceReducedCoordinateDescentwithAcceleration:NewMethodwithaSurprisingApplicationtoFinite-SumProblemsFilipHanzely1DmitryKovalev1PeterRichta´rik1Abstractcontrast,ifψisnotseparable,thecorrespond...
with Coordinate Descent Variance New
2023-11-14 21:46:581459695.38 KB4
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Transparency Promotion with Model-Agnostic Linear Competitors
TransparencyPromotionwithModel-AgnosticLinearCompetitorsHassanRaﬁque1TongWang2QihangLin2ArshiaSighani3Abstractderstandandrationalize.Drivenbythepracticalneeds,researchershaveshiftedtheirfocustoacc...
with Linear Model-Agnostic Transparency Promotion
2023-11-14 21:46:521834559.81 KB30
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Transformers are RNNs Fast Autoregressive Transformers with Linear Attention
TransformersareRNNs:FastAutoregressiveTransformerswithLinearAttentionAngelosKatharopoulos12ApoorvVyas12NikolaosPappas3Franc¸oisFleuret12Abstractbytheglobalreceptiveﬁeldofself-attention,whichpro-c...
with Fast Are Linear Autoregressive
2023-11-14 21:46:52569429.81 KB26
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Training Deep Energy-Based Models with f-Divergence Minimization
TrainingDeepEnergy-BasedModelswithf-DivergenceMinimizationLantaoYu1YangSong1JiamingSong1StefanoErmon1Abstractbasedmodels(Dinhetal.,2014;2016;Kingma&Dhariwal,2018)andsum-productnetworks(Poon&Domingo...
Models with Deep Minimization Energy-Based
2023-11-14 21:46:5014041.4 MB1
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Training Binary Neural Networks through Learning with Noisy Supervision
TrainingBinaryNeuralNetworksthroughLearningwithNoisySupervisionKaiHan12YunheWang2YixingXu2ChunjingXu2EnhuaWu13ChangXu4AbstractFigure1.Frameworkoflearningbinaryneuronswithnoisysuper-vision.Anetworkf...
Learning Neural Networks with through
2023-11-14 21:46:50670529.05 KB27
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The Complexity of Finding Stationary Points with Stochastic Gradient Descent
TheComplexityofFindingStationaryPointswithStochasticGradientDescentYoelDrori1OhadShamir12Abstractisnottominimizef(x)overx,butrather∇f(x).Thisquestionofﬁndingstationarypointshasgainedmoreatten-Wes...
of with Complexity the Points
2023-11-14 21:46:42706368.62 KB14
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Teaching with Limited Information on the Learners Behaviour
TeachingwithLimitedInformationontheLearner’sBehaviourFerdinandoCicalese1SergioFilho2EduardoLaber2MarcoMolinaro2Abstractbeenontheinteractivesetting(Liuetal.,2017;Chenetal.,2018;Liuetal.,2018;Dasgup...
with on the Learners Limited
2023-11-14 21:46:401589365.02 KB19
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Structured Prediction with Partial Labelling through the Infimum Loss
StructuredPredictionwithPartialLabellingthroughtheInﬁmumLossVivienCabannes1AlessandroRudi1FrancisBach1AbstractPartiallabellinghasbeenstudiedinthecontextofclassiﬁ-cation(Couretal.,2011;Nguyen&Caru...
with the through Prediction Structured
2023-11-14 21:46:371182504.1 KB20
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Student Specialization in Deep Rectified Networks with Finite Width and Input Dimension
StudentSpecializationinDeepRectiﬁedNetworkswithFiniteWidthandInputDimensionYuandongTian1Abstract1.IntroductionWeconsideradeepReLU/LeakyReLUstu-WhileDeepLearninghasachievedgreatsuccessindiffer-dent...
Networks with Deep in Rectified
2023-11-14 21:46:3712922.65 MB16
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Stochastic Differential Equations with Variational Wishart Diffusions
StochasticDifferentialEquationswithVariationalWishartDiffusionsMartinJørgensen1MarcPeterDeisenroth2HughSalimbeni3AbstractWhymodeltheprocessnoise?Assumethatintheexampleabove,thetwostatesrepresentme...
Variational with Stochastic Differential Equations
2023-11-14 21:46:31991798.19 KB28
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Stochastic bandits with arm-dependent delays
Stochasticbanditswitharm-dependentdelaysAnneGaelManegueu1ClaireVernade2AlexandraCarpentier1MichalValko3AbstractAsaresult,westudystochasticdelayedbanditsforwhichthedelaydistributionsarearm-dependent...
with Stochastic Bandits Delays arm-dependent
2023-11-14 21:46:3119621.89 MB14
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Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
StochasticCoordinateMinimizationwithProgressivePrecisionforStochasticConvexOptimizationSudeepSalgia1QingZhao1SattarVakili2Abstractknown,theexpectationofF(x;ξ)overξcannotbeanalyti-callycharacteriz...
for with Coordinate Precision Stochastic
2023-11-14 21:46:301051382.68 KB19
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Spectral Clustering with Graph Neural Networks for Graph Pooling
SpectralClusteringwithGraphNeuralNetworksforGraphPoolingFilippoMariaBianchi1DanieleGrattarola2CesareAlippi23AbstractMessage-passingMinCutPoolMessage-passingSpectralclustering(SC)isapopularclusterin...
Neural for Networks with Graph
2023-11-14 21:46:281535691.72 KB26
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Sparse Subspace Clustering with Entropy-Norm
SparseSubspaceClusteringwithEntropy-NormLiangBai1JiyeLiang1Abstracthigh-dimensionaldatawhichisubiquitousinreal-worlddataminingapplications,suchasimageprocessing,textInthispaper,weprovideanexplicitt...
Sparse with Clustering Subspace Entropy-Norm
2023-11-14 21:46:271560154.76 KB5
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Sparse Gaussian Processes with Spherical Harmonic Features
SparseGaussianProcesseswithSphericalHarmonicFeaturesVincentDutordoir1NicolasDurrande1JamesHensman2AbstractyWeintroduceanewclassofinter-domainvari-biasationalGaussianprocesses(GP)wheredataismappedon...
Sparse with Gaussian Processes Features
2023-11-14 21:46:2710951.15 MB21
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Source Separation with Deep Generative Priors
SourceSeparationwithDeepGenerativePriorsVivekJayaramJohnThickstunAbstractwithnofurtherconstraintsorregularization,solvingEqua-tion(1)forxishighlyunderdetermined.Classical“blind”Despitesubstantial...
Generative with Deep Source Priors
2023-11-14 21:46:2618712.04 MB24
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SIGUA Forgetting May Make Learning with Noisy Labels More Robust
SIGUA:ForgettingMayMakeLearningwithNoisyLabelsMoreRobustBoHan12GangNiu2XingruiYu3QuanmingYao4MiaoXu25IvorW.Tsang3MasashiSugiyama26Abstractasweightdecay(Krogh&Hertz,1991)anddropout(Sri-vastavaetal.,...
Learning with Noisy Make Forgetting
2023-11-14 21:46:235932.4 MB4
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Sequential Transfer in Reinforcement Learning with a Generative Model
SequentialTransferinReinforcementLearningwithaGenerativeModelAndreaTirinzoni1RiccardoPoiani1MarcelloRestelli1AbstractAkeyquestioniswhatandhowknowledgeshouldbetrans-ferred(Taylor&Stone,2009).Asforth...
Learning Generative with Reinforcement in
2023-11-14 21:46:231348438.67 KB11
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