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标签“with”的相关文档，共634条

Adaptive Newton Sketch Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
AdaptiveNewtonSketch:Linear-timeOptimizationwithQuadraticConvergenceandEffectiveHessianDimensionalityJonathanLacotte1YifeiWang1MertPilanci1Abstract1.IntroductionWeproposearandomizedalgorithmwithWec...
Adaptive Optimization with Newton Sketch
2023-11-16 18:00:256201.19 MB28
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Adapting to misspecification in contextual bandits with offline regression oracles
AdaptingtoMisspeciﬁcationinContextualBanditswithOfﬂineRegressionOraclesSanathKumarKrishnamurthy1VitorHadad2SusanAthey2Abstractwhosedistributionmaydependonthecontextandaction.Theobjectiveofthealgo...
Adapting with in Contextual to
2023-11-16 18:00:251758395.24 KB26
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Active Feature Acquisition with Generative Surrogate Models
ActiveFeatureAcquisitionwithGenerativeSurrogateModelsYangLi1JunierB.Oliva1Abstractparadigmissuccessfulinamultitudeofdomains,itisincon-gruouswiththeexpectationsofmanyreal-worldintelligentManyreal-wo...
Active Feature Models Generative with
2023-11-16 18:00:236451.68 MB24
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Accurate Post Training Quantization with Small Calibration Sets
AccuratePostTrainingQuantizationwithSmallCalibrationSetsItayHubara12YuryNahshan1YairHanani1RonBanner1DanielSoudry2Abstract1.IntroductionLately,post-trainingquantizationmethodshaveThepursuitofadvanc...
with Calibration Accurate Training Quantization
2023-11-16 18:00:22800611.65 KB4
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Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks
AccumulatedDecoupledLearningwithGradientStalenessMitigationforConvolutionalNeuralNetworksHuipingZhuang1ZhenyuWeng1FulinLuo1Kar-AnnToh2HaizhouLi3ZhipingLin1Abstractefﬁciency,thedecoupledlearning(Ja...
Learning with Gradient Decoupled Mitigation
2023-11-16 18:00:2116551.92 MB12
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Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
AcceleratingSafeReinforcementLearningwithConstraint-mismatchedBaselinePoliciesTsung-YenYang1JustinianRosca2KarthikNarasimhan1PeterJ.Ramadge1Abstractorothercosts.Forinstance,whenyoudriveanunfamiliar...
Learning with Reinforcement Accelerating Safe
2023-11-16 18:00:2118805.28 MB20
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Accelerating Gossip SGD with Periodic Global Averaging
AcceleratingGossipSGDwithPeriodicGlobalAveragingYimingChen1KunYuan1YingyaZhang1PanPan1YinghuiXu1WotaoYin1AbstractMETHODEPOCHACC.%TIME(HRS.)CommunicationoverheadhindersthescalabilityPARALLELSGD12076...
with Global Periodic Accelerating SGD
2023-11-16 18:00:206511.07 MB16
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Asynchronous Decentralized Optimization with Implicit Stochastic Variance Reduction
AsynchronousDecentralizedOptimizationwithImplicitStochasticVarianceReductionKentaNiwa12GuoqiangZhang3W.BastiaanKleijn4NoboruHarada12HiroshiSawada1AkinoriFujino1AbstractOurgoalistofacilitateMLmodelt...
Optimization with Asynchronous Stochastic Variance
2023-11-16 18:00:1810621.39 MB25
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Asymmetric Loss Functions for Learning with Noisy Labels
AsymmetricLossFunctionsforLearningwithNoisyLabelsXiongZhou12XianmingLiu12JunjunJiang12XinGao32XiangyangJi4AbstractToalleviatetheimpactoflabelnoisetoclassiﬁerlearning,onepopularresearchlineistodesi...
Learning for with Asymmetric Functions
2023-11-16 18:00:176835 MB24
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APS Active Pretraining with Successor Features
APS:ActivePretrainingwithSuccessorFeaturesHaoLiu1PieterAbbeel1Abstract2019;Vinyalsetal.,2019;Badiaetal.,2020a)andsolvingcomplexroboticcontroltasks(Andrychowiczetal.,2017;Weintroduceanewunsupervised...
Active with Features Successor Pretraining
2023-11-16 18:00:178991.47 MB20
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A Functional Perspective on Learning Symmetric Functions with Neural Networks
AFunctionalPerspectiveonLearningSymmetricFunctionswithNeuralNetworksAaronZweig1JoanBruna12AbstractSuchsymmetricfunctionsappearnaturallyacrossseveraldomains,includingparticlephysics,computergraphics...
Learning with on Functions Symmetric
2023-11-16 17:52:021476547.22 KB10
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A Differentiable Point Process with Its Application to Spiking Neural Networks
ADifferentiablePointProcesswithItsApplicationtoSpikingNeuralNetworksHiroshiKajino1Abstractraisesthefollowingquestion:howmuchofthecurrentper-formancegapscanbeattributedtothisdifferenceonneuralThispa...
with Process to Differentiable Point
2023-11-16 17:52:011312485.66 KB7
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A Bit More Bayesian Domain-Invariant Learning with Uncertainty
ABitMoreBayesian:Domain-InvariantLearningwithUncertaintyZehaoXiao1JiayiShen1XiantongZhen12LingShao2CeesG.M.Snoek1AbstractLietal.,2018a)orspeciﬁcarchitectures(Lietal.,2017;D’Innocente&Caputo,2018)...
Learning with Bayesian Uncertainty More
2023-11-16 17:52:011820868.57 KB2
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1-bit Adam Communication Efficient Large-Scale Training with Adam’s Convergence Speed
1-bitAdam:CommunicationEfﬁcientLarge-ScaleTrainingwithAdam’sConvergenceSpeedHanlinTang12ShaoduoGan3AmmarAhmadAwan1SamyamRajbhandari1ConglongLi1XiangruLian2JiLiu2CeZhang3YuxiongHe1Abstract1.Introd...
Efficient with Communication Large-Scale Training
2023-11-16 17:52:019272.89 MB29
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A theory of high dimensional regression with arbitrary correlations between input features and target functions sample complexity, multiple descent curves and a hierarchy of phase transitions
ATheoryofHighDimensionalRegressionwithArbitraryCorrelationsbetweenInputFeaturesandTargetFunctions:SampleComplexity,MultipleDescentCurvesandaHierarchyofPhaseTransitionsGabrielC.Mel1SuryaGanguli2Abst...
of and with Regression High
2023-11-16 17:52:005164.85 MB14
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A Sharp Analysis of Model-based Reinforcement Learning with Self-Play
ASharpAnalysisofModel-basedReinforcementLearningwithSelf-PlayQinghuaLiu1TianchengYu2YuBai3ChiJin1Abstract1.IntroductionModel-basedalgorithms—algorithmsthatexploreThispaperisconcernedwiththeproblem...
Learning of with Reinforcement Analysis
2023-11-16 17:51:591965317.86 KB26
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Voice Separation with an Unknown Number of Multiple Speakers
VoiceSeparationwithanUnknownNumberofMultipleSpeakersEliyaNachmani12YossiAdi1LiorWolf12Abstractthispartialrepresentations.Sincetheorderofthespeakersisconsideredarbitrary(itishardtosortvoices),oneuse...
of An with Voice unknown
2023-11-14 21:47:011345476.95 KB25
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VideoOneNet Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
VideoOneNet:BidirectionalConvolutionalRecurrentOneNetwithTrainableDataStepsforVideoProcessingZolta´nA´.Milacski1Barnaba´sPo´czos2Andra´sLo˝rincz1Abstractthestate-of-the-artonmanydataprocessin...
with Recurrent Bidirectional Convolutional Trainable
2023-11-14 21:47:0018158 MB29
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VFlow More Expressive Generative Flows with Variational Data Augmentation
VFlow:MoreExpressiveGenerativeFlowswithVariationalDataAugmentationJianfeiChen12ChengLu1BiqiChenli12JunZhu12TianTian12AbstractInvertibletransformationstepAugmenteddimensionsTransformeddataInternalhi...
Variational Generative with Flows Expressive
2023-11-14 21:47:0012841.76 MB17
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Variational Imitation Learning with Diverse-quality Demonstrations
VariationalImitationLearningwithDiverse-qualityDemonstrationsVootTangkaratt1BoHan21MohammadEmtiyazKhan1MasashiSugiyama13Abstractanassumptionthatdiversityiscausedbynoise-densities.Learningfromdemons...
Learning Variational with Imitation Demonstrations
2023-11-14 21:47:0015789.14 MB17
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