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标签“with”的相关文档，共634条

Kernel Recursive ABC Point Estimation with Intractable Likelihood
KernelRecursiveABC:PointEstimationwithIntractableLikelihoodTakafumiKajihara12MotonobuKanagawa3KeisukeYamazaki2KenjiFukumizu4Abstractpopulationgenetics(Pritchardetal.,1999)anddynamicalsystems(Toniet...
Kernel with Estimation Point Recursive
2023-11-13 11:59:51525608.58 KB22
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JointGAN Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
JointGAN:Multi-DomainJointDistributionLearningwithGenerativeAdversarialNetsYunchenPu1ShuyangDai2ZheGan3WeiyaoWang2GuoyinWang2YizheZhang3RicardoHenao2LawrenceCarin2AbstractTherehasbeenrecentinterest...
Learning Generative with Joint Distribution
2023-11-13 11:59:5016824.14 MB22
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Interpretability Beyond Feature Attribution Quantitative Testing with Concept Activation Vectors (TCAV)
InterpretabilityBeyondFeatureAttribution:QuantitativeTestingwithConceptActivationVectors(TCAV)BeenKimMartinWattenbergJustinGilmerCarrieCaiJamesWexlerFernandaViegasRorySayresAbstractcoefﬁcientweigh...
Feature with Attribution Beyond Testing
2023-11-13 11:59:4918041.99 MB2
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Inter and Intra Topic Structure Learning with Word Embeddings
InterandIntraTopicStructureLearningwithWordEmbeddingsHeZhao1LanDu1WrayBuntine1MingyaunZhou2AbstractTable1.Examplelocaltopicswithtop10words1journalsciencebiologyresearchjournalsOneimportanttaskoftop...
Learning and with Structure Inter
2023-11-13 11:59:48757457.09 KB28
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Inductive Two-Layer Modeling with Parametric Bregman Transfer
InductiveTwo-layerModelingwithParametricBregmanTransferVigneshGanapathiraman1ZhanShi1XinhuaZhang1YaoliangYu2AbstractThefocusofthispaperisconditionalmodelingforsuper-visedlearning,wherelatentvariabl...
with Transfer Modeling Inductive Parametric
2023-11-13 11:59:48899670.39 KB7
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Improving Sign Random Projections with Additional Information
ImprovingSignRandomProjectionswithAdditionalInformationKeeganKang1WongWeiPin1Abstractgularsimilaritywithhighprobability.ThetimetakenunderthistechniquewouldbereducedtoO(npk+n2k).Signrandomprojection...
with random Improving Information Sign
2023-11-13 11:59:4717133.93 MB7
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Improving Regression Performance with Distributional Losses
ImprovingRegressionPerformancewithDistributionalLossesEhsanImani1MarthaWhite1Abstractorabsoluteerrorforregression—butthoselossesarenotnecessarilydirectlyminimized.Thereisgrowingevidencethatconvert...
with Regression Improving Losses Distributional
2023-11-13 11:59:475331.28 MB28
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Improving Optimization for Models with Continuous Symmetry Breaking
ImprovingOptimizationforModelswithContinuousSymmetryBreakingRobertBamler1StephanMandt1AbstractWeakcontinuoussymmetrybreakingleadstoanill-conditionedoptimizationproblem.WhenalossfunctionisManylossfu...
for Optimization Models with Improving
2023-11-13 11:59:4612771.26 MB1
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IMPALA Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
IMPALA:ScalableDistributedDeep-RLwithImportanceWeightedActor-LearnerArchitecturesLasseEspeholt1HubertSoyer1RemiMunos1KarenSimonyan1VolodymyrMnih1TomWard1YotamDoron1VladFiroiu1TimHarley1IainDunning1...
Distributed with Importance Scalable IMPALA
2023-11-13 11:59:457892.57 MB18
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GraphRNN Generating Realistic Graphs with Deep Auto-regressive Models
GraphRNN:GeneratingRealisticGraphswithDeepAuto-regressiveModelsJiaxuanYou1RexYing1XiangRen2WilliamL.Hamilton1JureLeskovec1Abstractgraphsbasedonaprioristructuralassumptions(Newman,2010).However,akey...
with Deep graphs GraphRNN Generating
2023-11-13 11:59:427131.91 MB15
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Hierarchical Clustering with Structural Constraints
HierarchicalClusteringwithStructuralConstraintsVaggosChatziafratis1RadNiazadeh1MosesCharikar1Abstractgeneexpressiondataanalysis(Eisenetal.,1998),andalsohasbeenusedintheanalysisofsocialnetworks(Lesk...
Structural with Hierarchical Clustering Constraints
2023-11-13 11:59:421737615.06 KB22
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Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Gradient-BasedMeta-LearningwithLearnedLayerwiseMetricandSubspaceYoonhoLee1SeungjinChoi1Abstractoperatesontheleveloftasks,gatheringinformationfromseveralinstancesoftask-speciﬁclearners.Atask-speci...
and with Gradient-Based Metric Learned
2023-11-13 11:59:411634713.55 KB6
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Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
GradientdescentwithidentityinitializationefﬁcientlylearnspositivedeﬁnitelineartransformationsbydeepresidualnetworksPeterL.Bartlett1DavidP.Helmbold2PhilipM.Long3Abstract1.IntroductionWeanalyzealgo...
with Gradient Descent Efficiently Identity
2023-11-13 11:59:40697280.82 KB4
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Generative Temporal Models with Spatial Memory for Partially Observed Environments
GenerativeTemporalModelswithSpatialMemoryforPartiallyObservedEnvironmentsMarcoFraccaro1DaniloJimenezRezende2YoriZwols2AlexanderPritzel2S.M.AliEslami2FabioViola2Abstractcanbeusefulformodel-basedrein...
for Models Generative with Temporal
2023-11-13 11:59:3916534.62 MB19
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Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
FullyDecentralizedMulti-AgentReinforcementLearningwithNetworkedAgentsKaiqingZhang1ZhuoranYang2HanLiu3TongZhang4TamerBas¸ar1Abstractagent.Inaddition,theagentsareallowedtoobserveonlyitsownreward,whi...
Learning with Reinforcement Multi-Agent Decentralized
2023-11-13 11:59:371503556.78 KB18
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Frank-Wolfe with Subsampling Oracle
Frank-WolfewithSubsamplingOracleThomasKerdreux1FabianPedregosa23Alexandred’Aspremont41Abstractgorithmandvariantshaveseenanimpressiverevivalinrecentyears,duetotheirlowmemoryrequirementsandWeanalyze...
with Oracle Frank-Wolfe Subsampling
2023-11-13 11:59:371475772.33 KB15
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Fast Variance Reduction Method with Stochastic Batch Size
FastVarianceReductionMethodwithStochasticBatchSizeXuanqingLiu1Cho-JuiHsieh12AbstractHereweassumeeachfi(w)isaµ-stronglyconvex,L-smoothfunction,theregularizationtermg(w)isconvexInthispaperwestudyafa...
with Stochastic Variance Reduction Fast
2023-11-13 11:59:34761538.59 KB11
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Fast Parametric Learning with Activation Memorization
FastParametricLearningwithActivationMemorizationJackWRae12ChrisDyer1PeterDayan3TimothyPLillicrap12Abstractspondtoagivenclass.Whentrainedwithasupervisedloss,suchascross-entropy,eachstepofgradientdes...
Learning with Fast Activation Memorization
2023-11-13 11:59:341345698.65 KB13
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Fast Stochastic AUC Maximization with $O(1 n)$-Convergence Rate
FastStochasticAUCMaximizationwithO(1/n)-ConvergenceRateMingruiLiu1XiaoxuanZhang1ZaiyiChen2XiaoyuWang3TianbaoYang1Abstract1982).Comparedwithmisclassiﬁcationrate,AUCismorefavorableintheapplicationsw...
Maximization with Stochastic Fast Rate
2023-11-13 11:59:341356460.99 KB23
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Fast Gradient-Based Methods with Exponential Rate A Hybrid Control Framework
FastGradient-BasedMethodswithExponentialRate:AHybridControlFrameworkArmanShariﬁKolarijani1PeymanMohajerinEsfahani1Tama´sKeciczky1Abstracttheanalysisanddesignofoptimizationalgorithms.Con-sideranit...
with Methods Fast Gradient-Based Rate
2023-11-13 11:59:331164375.14 KB17
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