"and"的相关文档 - 文库宝

开通VIP限时优惠

|

登录 | 注册

标签“and”的相关文档，共504条

Simple and Effective VAE Training with Calibrated Decoders
SimpleandEffectiveVAETrainingwithCalibratedDecodersOlehRybkin1KostasDaniilidis1SergeyLevine2AbstractHowever,inpractice,manyoftheseapproachesrequirecarefulmanualtuningofthebalancebetweentwotermsthat...
and with simple Effective Training
2023-11-16 19:41:4813701.11 MB8
下载文档
Self-supervised Graph-level Representation Learning with Local and Global Structure
Self-supervisedGraph-levelRepresentationLearningwithLocalandGlobalStructureMinghaoXu1HangWang1BingbingNi1HongyuGuo2JianTang345Abstract2020).Thesemethodsareusuallytrainedinasupervisedfashion,whichre...
Learning and with Local Self-supervised
2023-11-16 19:41:4519331.04 MB30
下载文档
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Self-supervisedandSupervisedJointTrainingforResource-richMachineTranslationYongCheng1WeiWang†LuJiang12WolfgangMacherey1Abstractsupervisedtaskonabundantunlabeleddata(i.e.monolin-gualsentences).Inth...
for and Self-supervised Joint Supervised
2023-11-16 19:41:451918549.16 KB25
下载文档
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
ScalingUpVisualandVision-LanguageRepresentationLearningWithNoisyTextSupervisionChaoJia1YinfeiYang1YeXia1Yi-TingChen1ZaranaParekh1HieuPham1QuocV.Le1YunhsuanSung1ZhenLi1TomDuerig1Abstract1.Introducti...
Learning and Representation Scaling Up
2023-11-16 19:41:4315581.83 MB17
下载文档
Robust Testing and Estimation under Manipulation Attacks
RobustTestingandEstimationunderManipulationAttacksJayadevAcharya1ZitengSun1HuanyuZhang1Abstractchallengesaboveexistsimultaneously.Motivatedbytheirwork,wefurtherstudymanipulationattacksforinferenceW...
and Robust Estimation under Testing
2023-11-16 19:41:381061353.73 KB12
下载文档
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
RiskBoundsandRademacherComplexityinBatchReinforcementLearningYaqiDuan1ChiJin2ZhiyuanLi3Abstractalgorithmsincludingsupportvectormachines(Cortes&Vapnik,1995;Suykens&Vandewalle,1999),boosting(Fre-This...
and Complexity in Batch bounds
2023-11-16 19:41:351938398.95 KB7
下载文档
Revisiting Rainbow Promoting more insightful and inclusive deep reinforcement learning research
RevisitingRainbow:PromotingmoreInsightfulandInclusiveDeepReinforcementLearningResearchJohanS.Obando-CeronPabloSamuelCastro1AbstractWhilethesebenchmarkshavehelpedtoevaluatenewmeth-odsinastandardized...
and More Promoting Revisiting Rainbow
2023-11-16 19:41:348806.32 MB22
下载文档
Representational aspects of depth and conditioning in normalizing flows
RepresentationalaspectsofdepthandconditioninginnormalizingﬂowsFredericKoehler1VirajMehta2andrejRisteski3Abstract1.IntroductionNormalizingﬂowsareamongthemostpopularDeepgenerativemodelsareoneofthel...
of and in Conditioning Representational
2023-11-16 19:41:32701563.66 KB1
下载文档
Reinforcement Learning of Implicit and Explicit Control Flow Instructions
ReinforcementLearningofImplicitandExplicitControlFlowinInstructionsEthanA.Brooks1JanarthananRajendran1RichardL.Lewis2SatinderSingh1Abstracttaskinstructionsthatrequiretheagenttolearncontrolﬂoweithe...
Learning of and Reinforcement Control
2023-11-16 19:41:309691.55 MB14
下载文档
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization
WhiteningandSecondOrderOptimizationBothMakeInformationintheDatasetUnusableDuringTraining,andCanReduceorPreventGeneralizationNehaS.Wadia1DanielDuckworth2SamuelS.Schoenholz2Ethandyer2JaschaSohl-Dicks...
Optimization and Both Order Make
2023-11-16 19:41:2711961.79 MB13
下载文档
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
QuantifyingAvailabilityandDiscoveryinRecommenderSystemsviaStochasticReachabilityMihaelaCurmei1SarahDean1BenjaminRecht1Abstractwhichhavebeenimplicatedinunintendedconsequenceslikepolarizationorradica...
and Discovery in Systems Quantifying
2023-11-16 19:28:36912988.96 KB16
下载文档
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
QuantifyingandReducingBiasinMaximumLikelihoodEstimationofStructuredAnomaliesUthsavChitra1KimberlyDing1JasperC.H.Lee2BenjaminJ.Raphael1Abstract1.IntroductionAnomalyestimation,ortheproblemofﬁndingAn...
and in Maximum Likelihood Bias
2023-11-16 19:28:3514421.86 MB16
下载文档
Pure Exploration and Regret Minimization in Matching Bandits
PureExplorationandRegretMinimizationinMatchingBanditsFloreSentenac1JialinYi2Cle´mentCalauze`nes3VianneyPerchet4MilanVojnovic´2Abstractonlineadvertising,wheretheprobabilitythatauserclicksonanaddep...
Matching and in Exploration Regret
2023-11-16 19:28:35996390.82 KB5
下载文档
Provably Correct Optimization and Exploration with Non-linear Policies
ProvablyCorrectOptimizationandExplorationwithNon-linearPoliciesFeiFeng1WotaoYin1AlekhAgarwal2LinYang3Abstractrer&Geist,2014;Geistetal.,2019;Abbasi-Yadkorietal.,2019;Agarwaletal.,2020c;Bhandari&Russ...
Optimization and with Exploration Provably
2023-11-16 19:28:34539929.05 KB11
下载文档
Principled Exploration via Optimistic Bootstrapping and Backward Induction
PrincipledExplorationviaOptimisticBootstrappingandBackwardInductionChenjiaBai1LingxiaoWang2LeiHan3JianyeHao4AnimeshGarg5PengLiu1ZhaoranWang2Abstract2007;Jinetal.,2018)isaprincipledapproachforefﬁci...
and via Exploration Principled Bootstrapping
2023-11-16 19:28:318192.72 MB20
下载文档
Practical and Private (Deep) Learning Without Sampling or Shuffling
PracticalandPrivate(Deep)LearningWithoutSamplingorShufﬂingPeterKairouz1BrendanMcMahan1ShuangSong1OmThakkar1AbhradeepThakurta1ZhengXu1Abstractinthecontextofdistributedsettingslikefederatedlearn-ing...
Learning Sampling and Deep without
2023-11-16 19:28:3019344.83 MB5
下载文档
Phase Transitions, Distance Functions, and Implicit Neural Representations
PhaseTransitions,DistanceFunctions,andImplicitNeuralRepresentationsYaronLipman12AbstractFigure1.ImplicitneuralrepresentationslearnedwiththenovelPHASEloss.Thisnewlossuniﬁesoccupancyandsigneddistanc...
Neural and Phase Functions Implicit
2023-11-16 19:28:2917159.08 MB21
下载文档
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
ParallelandFlexibleSamplingfromAutoregressiveModelsviaLangevinDynamicsVivekJayaram1JohnThickstun1Abstractlimittheusefulnessofautoregressivemodelsinpracticalsettings.First,ancestralsamplinghastimeco...
from Sampling Models and Flexible
2023-11-16 19:28:2719551.36 MB23
下载文档
PAGE A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
PAGE:ASimpleandOptimalProbabilisticGradientEstimatorforNonconvexOptimizationZhizeLi1HongyanBao1XiangliangZhang1PeterRichta´rik1Abstract(Jain&Kar,2017).Drivenbytheappliedsuccessofdeepneuralnetworks...
and Gradient simple Optimal Probabilistic
2023-11-16 19:28:2710511.19 MB12
下载文档
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
OptimalTransportKernelsforSequentialandParallelNeuralArchitectureSearchVuNguyen∗1TamLe∗2MakotoYamada23MichaelA.Osborne4Abstractreaderstothesurvey(Elskenetal.,2019b)foradetailedreviewofNASandtothe...
for and Optimal Transport Sequential
2023-11-16 19:28:2615881.36 MB3
下载文档

首页上页 1 2 3 4 5 下页尾页

确认删除?

VIP会员服务
限时5折优惠