"with"的相关文档

标签“with”的相关文档，共634条

Neural Optimizer Search with Reinforcement Learning
NeuralOptimizerSearchwithReinforcementLearningIrwanBello1BarretZoph1VijayVasudevan1QuocV.Le1AbstractFigure1.AnoverviewofNeuralOptimizerSearch.Wepresentanapproachtoautomatetheprocessrentnetworkcontr...
Learning Neural with Reinforcement Search
2023-11-12 20:44:5310681.2 MB4
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Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
NeuralAudioSynthesisofMusicalNoteswithWaveNetAutoencodersJesseEngel1CinjonResnick1AdamRoberts1SanderDieleman2MohammadNorouzi1DouglasEck1KarenSimonyan2AbstractInthispaper,weoutlineadata-drivenapproa...
of Neural with Synthesis Audio
2023-11-12 20:44:5210773.62 MB1
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Multi-task Learning with Labeled and Unlabeled Tasks
Multi-taskLearningwithLabeledandUnlabeledTasksAnastasiaPentina1ChristophH.Lampert1Abstractisavailable.Inpractice,itishighlydesirabletobeabletohandlethissituationforproblemswithaverylargenumberInmul...
Learning and with Multi-task Labeled
2023-11-12 20:44:5116661.91 MB12
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Multilabel Classification with Group Testing and Codes
MultilabelClassiﬁcationwithGroupTestingandCodesShashankaUbaru1AryaMazumdar2Abstractarevectorsindicatingthecorrespondinglabels(classes)thedatainstancesbelongto.ThevectoryihasaoneinthejthInrecentyea...
and with Group Classification Testing
2023-11-12 20:44:501689565.02 KB2
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Multi-fidelity Bayesian Optimisation with Continuous Approximations
Multi-ﬁdelityBayesianOptimisationwithContinuousApproximationsKirthevasanKandasamy1GautamDasarathy2JeffSchneider1Barnaba´sPo´czos1AbstractTypically,insuchapplications,eachfunctionevaluationisexpe...
with Bayesian Continuous Multi-fidelity Optimisation
2023-11-12 20:44:501048605.05 KB2
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Modular Multitask Reinforcement Learning with Policy Sketches
ModularMultitaskReinforcementLearningwithPolicySketchesJacobAndreas1DanKlein1SergeyLevine1Abstractτ1:makeplanksΠ1τ2:makesticksΠ2b1:getwoodK1π1Wedescribeaframeworkformultitaskdeepre-b2:useworkb...
Learning with Reinforcement Policy Multitask
2023-11-12 20:44:4918732.48 MB28
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Measuring Sample Quality with Kernels
MeasuringSampleQualitywithKernelsJacksonGorham1LesterMackey2AbstractagesEhXP1nhx.However,manyexactApproximateMarkovchainMonteCarloQn[()]=ni=1(i)(MCMC)offersthepromiseofmorerapidsam-plingatthecostof...
with Sample Quality Measuring Kernels
2023-11-12 20:44:471816921.86 KB23
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Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
LearningtoDiscoverCross-DomainRelationswithGenerativeAdversarialNetworksTaeksooKim1MoonsuCha1HyunsooKim1JungKwonLee1JiwonKim1AbstractDiscoGANWhilehumanseasilyrecognizerelationsbe-tweendatafromdiffe...
Learning Generative with to Discover
2023-11-12 20:44:4413092.8 MB29
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Learning Texture Manifolds with the Periodic Spatial GAN
LearningTextureManifoldswiththePeriodicSpatialGANUrsBergmann1NikolayJetchev1RolandVollgraf1Abstract&Leung,1999;Efros&Freeman,2001),wherepixelsorpatchesofthesourceimageareresampledandcopiednextThisp...
Learning with the Manifolds Texture
2023-11-12 20:44:438576.96 MB5
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Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
LearningtoDetectSepsiswithaMultitaskGaussianProcessRNNClassiﬁerJosephFutoma1SanjayHariharan1KatherineHeller1Abstractforeveryhourthattreatmentisdelayedaftertheonsetofhypotension(Kumaretal.,2006).It...
Learning with Gaussian to Multitask
2023-11-12 20:44:4216381.21 MB5
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Learning Latent Space Models with Angular Constraints
LearningLatentSpaceModelswithAngularConstraintsPengtaoXie12YuntianDeng3YiZhou4AbhimanuKumar5YaoliangYu6JamesZou7EricP.Xing2Abstractrameterizedbyaweightvector.Forinstance,inatopicmodel(Bleietal.,200...
Learning Models with Latent Space
2023-11-12 20:44:411071318.66 KB16
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Learning in POMDPs with Monte Carlo Tree Search
LearninginPOMDPswithMonteCarloTreeSearchSammieKatt1FransA.Oliehoek2ChristopherAmato1Abstracttodecisionmakingbymaintainingaprobabilitydistribu-tionoverpossiblemodelsastheagentactsinanonlinerein-TheP...
Learning with in Tree Monte
2023-11-12 20:44:401520478.37 KB28
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Learning Determinantal Point Processes with Moments and Cycles
LearningDeterminantalPointProcesseswithMomentsandCyclesJohnUrschel1Victor-EmmanuelBrunel1AnkurMoitra1PhilippeRigollet1Abstracteigenvaluesareboundedintherange[0,1].ThentheDPPassociatedwithK,whichwed...
Learning and with Processes Point
2023-11-12 20:44:39636304.69 KB30
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Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo
LearningDeepLatentGaussianModelswithMarkovChainMonteCarloMatthewD.Hoffman1Abstractlearningsignals.Therehasbeenaﬂurryofpapersrecentlyproposingmoreﬂexiblevariationalfamilies,allofwhichDeeplatentGau...
Learning Models with Markov Deep
2023-11-12 20:44:381832693.14 KB9
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Language Modeling with Gated Convolutional Networks
LanguageModelingwithGatedConvolutionalNetworksYannN.Dauphin1AngelaFan1MichaelAuli1DavidGrangier1Abstractoutperformclassicaln-gramlanguagemodels(Kneser&Ney,1995;Chen&Goodman,1996).Theseclassicalmod-...
Networks with Convolutional Modeling Language
2023-11-12 20:44:36797757.61 KB22
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Improving Gibbs Sampler Scan Quality with DoGS
ImprovingGibbsSamplerScanQualitywithDoGS12IoannisMitliagkasLesterMackeyAbstracttion.Theprincipaldegreeoffreedomisthescan,theorderinwhichvariablesaresampled(Heetal.,2016).WhileitThepairwiseinﬂuence...
with Improving Gibbs Sampler Scan
2023-11-12 20:44:3314882.55 MB8
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Image-to-Markup Generation with Coarse-to-Fine Attention
Image-to-MarkupGenerationwithCoarse-to-FineAttentionYuntianDeng1AnssiKanervisto2JeffreyLing1AlexanderM.Rush1Abstracttems,havecompetedonthistaskaspartoftheCROHMEhandwrittenmathematicschallenge(Mouch...
Generation with Image-to-Markup Coarse-to-Fine Attention
2023-11-12 20:44:321876582.47 KB25
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High Dimensional Bayesian Optimization with Elastic Gaussian Process
HighDimensionalBayesianOptimizationwithElasticGaussianProcessSantuRana1ChengLi1SunilGupta1VuNguyen1SvethaVenkatesh1Abstract1998)whicharealsoexpensivetoevaluate.Examplesin-cludeexperimentaldesigntoo...
Optimization with Gaussian Bayesian High
2023-11-12 20:44:30580704.01 KB24
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Hierarchy Through Composition with Multitask LMDPs
HierarchyThroughCompositionwithMultitaskLMDPsAndrewM.Saxe1AdamC.Earle2BenjaminRosman23Abstractactionsforeachjointindividually(Mausam&Weld,2008).Finally,the‘tasks’performedbyanagentmaycomeinHierar...
with through Hierarchy Composition Multitask
2023-11-12 20:44:299712.08 MB4
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Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
GloballyOptimalGradientDescentforaConvNetwithGaussianInputsAlonBrutzkus1AmirGloberson1Abstractcentattemptstobridgethisgapbetweentheoryandprac-tice.SeveralworksfocusonthegeometricpropertiesofDeeplea...
for with Gradient Descent Optimal
2023-11-12 20:44:27875744.07 KB7
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