"Generative"的相关文档 - 文库宝

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标签“Generative”的相关文档，共101条

Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation
GenerativeModelingofInﬁniteOccludedObjectsforCompositionalSceneRepresentationJinyangYuan1BinLi1XiangyangXue1Abstractcanautomaticallysegregatethevisualsceneintoconceptualentities(e.g.objects)throug...
of for Generative Infinite Modeling
2023-11-13 14:47:189011.04 MB25
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Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
GenerativeAdversarialUserModelforReinforcementLearningBasedRecommendationSystemXinshiChen1†ShuangLi2HuiLi4ShaohuaJiang4YuanQi4LeSong34Abstractexplicitlytakeintoaccountthelong-termuserinterest.How-...
Learning for Adversarial Generative Reinforcement
2023-11-13 14:47:187491.46 MB29
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Flow++ Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design
Flow++:ImprovingFlow-BasedGenerativeModelswithVariationalDequantizationandArchitectureDesignJonathanHo1XiChen12AravindSrinivas1YanDuan2PieterAbbeel12Abstractvideos,toaudiosignalsandnaturallanguage(...
Models Variational Generative with Improving
2023-11-13 14:47:1512995.88 MB28
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FloWaveNet A Generative Flow for Raw Audio
FloWaveNet:AGenerativeFlowforRawAudioSungwonKim1Sang-gilLee1JongyoonSong1JaehyeonKim2SungrohYoon13Abstractetal.,2018;Ariketal.,2017b;a;Pingetal.,2017;Jiaetal.,2018).However,thepracticalapplicationo...
for Generative Audio Flow Raw
2023-11-13 14:47:1516868.35 MB25
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Flat Metric Minimization with Applications in Generative Modeling
FlatMetricMinimizationwithApplicationsinGenerativeModelingThomasMo¨llenhoff1DanielCremers1Abstractfromlefttorightwevarythelatentcodez1(time)WetakethenovelperspectivetoviewdatanotFigure1.Discoverin...
Generative with in Applications Minimization
2023-11-13 14:47:139901.04 MB26
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Finding Mixed Nash Equilibria of Generative Adversarial Networks
FindingMixedNashEquilibriaofGenerativeAdversarialNetworksYa-PingHsieh1ChenLiu1VolkanCevher1Abstract2016).Indeed,thestochasticgradientdescent(SGD),alongwithitsvariants,remainthemethodofchoicefortrai...
of Adversarial Generative Nash Mixed
2023-11-13 14:47:128413.01 MB20
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Emerging Convolutions for Generative Normalizing Flows
EmergingConvolutionsforGenerativeNormalizingFlowsEmielHoogeboom1RiannevandenBerg2MaxWelling13Abstractin2in2Generativeﬂowsareattractivebecausetheyadmitin1out2=exactlikelihoodoptimizationandefﬁcien...
for Generative Normalizing Flows Convolutions
2023-11-13 14:47:039221.1 MB8
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Deep Generative Learning via Variational Gradient Flow
DeepGenerativeLearningviaVariationalGradientFlowYuanGao1YulingJiao2YangWang3YaoWang4CanYang3ShunkangZhang3Abstract1.IntroductionWeproposeaframeworktolearndeepGenerativeLearningtheGenerativemodel,i....
Learning Variational Generative Gradient Deep
2023-11-13 14:46:5014681.84 MB8
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CoT Cooperative Training for Generative Modeling of Discrete Data
CoT:CooperativeTrainingforGenerativeModelingofDiscreteDataSidiLu1LantaoYu2SiyuanFeng1YaomingZhu1WeinanZhang1YongYu1AbstractForsequentialdiscretedatawithtractabledensitylikenat-urallanguage,generati...
of for Generative Modeling Training
2023-11-13 14:46:466151.51 MB5
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Bayesian Generative Active Deep Learning
BayesianGenerativeActiveDeepLearningToanTran1Thanh-ToanDo2IanReid1GustavoCarneiro1Abstractbeperformedwithimmenseandcarefullylabeleddatasets,wherethelargerthedataset,themoreeffectivethetrainingDeepl...
Learning Active Generative Deep Bayesian
2023-11-13 14:46:299911019.82 KB17
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Are Generative Classifiers More Robust to Adversarial Attacks
AreGenerativeClassiﬁersMoreRobusttoAdversarialAttacks?YingzhenLi1JohnBradshaw23YashSharma4AbstractAdversarialtraining,whichaugmentsthetrainingdatawithadversariallyperturbedinputs,hasshownmoderates...
Adversarial Generative Robust to Are
2023-11-13 14:46:2513921.46 MB20
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A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization
AGradual,Semi-DiscreteApproachtoGenerativeNetworkTrainingviaExplicitWassersteinMinimizationYuchengChen1MatusTelgarsky1ChaoZhang1BoltonBailey1DanielHsu2JianPeng1AbstractFITFITThispaperprovidesasimpl...
Generative to Approach Network Training
2023-11-13 14:46:135171.63 MB25
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Wasserstein of Wasserstein Loss for Learning Generative Models
WassersteinofWassersteinLossforLearningGenerativeModelsYonatanDukler1WuchenLi1AlexTongLin1GuidoMontu´far123AbstractGenerativeAdversarialNetworks(GANs).TheapplicationoftheWassersteinmetrictodeﬁnet...
Learning of for Models Generative
2023-11-13 14:46:081966965.32 KB5
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PixelSNAIL An Improved Autoregressive Generative Model
PixelSNAIL:AnImprovedAutoregressiveGenerativeModelXiChen12NikhilMishra12MostafaRohaninejad12PieterAbbeel12Abstractallowmodelingcomplexdependencies.ComparedtoGANs(Goodfellowetal.,2014),neuralautoreg...
Generative An Model Improved Autoregressive
2023-11-13 12:00:2615141.16 MB9
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Optimizing the Latent Space of Generative Networks
OptimizingtheLatentSpaceofGenerativeNetworksPiotrBojanowski1ArmandJoulin1DavidLopezPaz1ArthurSzlam1Abstractasto“fool”thediscriminator.Afterpropertraining,thegeneratorisabletoproducerealisticnatur...
of Networks Generative the Latent
2023-11-13 12:00:2317807.8 MB6
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Learning Representations and Generative Models for 3D Point Clouds
LearningRepresentationsandGenerativeModelsfor3DPointCloudsPanosAchlioptas1OlgaDiamanti1IoannisMitliagkas2LeonidasGuibas1Abstractularlyamenabletosimplegeometricoperationsandareastandard3Dacquisition...
3D Learning for Representations Models
2023-11-13 11:59:5912144.07 MB12
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Learning Implicit Generative Models with the Method of Learned Moments
LearningImplicitGenerativeModelswiththeMethodofLearnedMomentsSumanRavuri1ShakirMohamed1MihaelaRosca1OriolVinyals1Abstractlieoutsidetheparameterspace(suchasnegativeprobabili-ties),and,unlessthemodel...
Learning Models Generative with the
2023-11-13 11:59:5615502.17 MB17
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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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Improved Training of Generative Adversarial Networks Using Representative Features
ImprovedTrainingofGenerativeAdversarialNetworksusingRepresentativeFeaturesDuhyeonBang1HyunjungShim1Abstractapplications,includingsuper-resolution,colorization,facegeneration,imagecompletion,etc.(Ba...
of Using Networks Adversarial Generative
2023-11-13 11:59:467083.57 MB5
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Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series
HierarchicalDeepGenerativeModelsforMulti-RateMultivariateTimeSeriesZhengpingChe1SanjayPurushotham1GuangyuLi1BoJiang1YanLiu1Abstractbyvarioussamplingrates.Forexample,inhealthcare,vitalsignssuchashea...
for Models Generative Deep Hierarchical
2023-11-13 11:59:4317902.45 MB3
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