"Can"的相关文档

标签“Can”的相关文档，共16条

Generative Video Transformer Can Objects be the Words
GenerativeVideoTransformer:CanObjectsbetheWords?Yi-FuWu1JaesikYoon12SungjinAhn13Abstractinteresttodevelopananalogousgenerativepre-trainingpro-cedureforvideos,thecomputationaloverheadindealingTransf...
Generative the Can Be Video
2023-11-16 18:46:469003.08 MB16
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Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization
CanSubnetworkStructurebetheKeytoOut-of-DistributionGeneralization?DinghuaiZhang1KartikAhuja1YilunXu2YisenWang3AaronCourville1AbstractFigure1.OODperformanceofmodelswithdifferentstructureswhentrained...
the Can Be to Structure
2023-11-16 18:11:179321.88 MB21
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Unbiased Risk Estimators Can Mislead A Case Study of Learning with Complementary Labels
UnbiasedRiskEstimatorsCanMislead:ACaseStudyofLearningwithComplementaryLabelsYu-TingChou1GangNiu2Hsuan-TienLin1MasashiSugiyama23Abstractetal.,2014;2015;Niuetal.,2016;Sakaietal.,2017;2018),unlabeled-...
Can Estimators Risk case Unbiased
2023-11-14 21:46:521042732.2 KB14
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One Size Fits All Can We Train One Denoiser for All Noise Levels
OneSizeFitsAll:CanWeTrainOneDenoiserforAllNoiseLevels?AbhiramGnansambandam1StanleyH.Chan12Abstractarguablyuniversalforalllearning-basedestimators.Whensuchaproblemarises,themoststraight-forwardsolut...
Can All One We Size
2023-11-14 21:45:377451 MB18
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More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
MoreDataCanExpandtheGeneralizationGapBetweenAdversariallyRobustandStandardModelsLinChen1YifeiMin2MingruiZhang2AminKarbasi1AbstractmoreworryingisthatthesesmallperturbationsCanpossiblybedesignedtobei...
gap the Data Can generalization
2023-11-14 21:45:141890543.44 KB11
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Its Not What Machines Can Learn, Its What We Cannot Teach
It’sNotWhatMachinesCanLearn,It’sWhatWeCannotTeachGalYehuda1MosheGabel2AssafSchuster1AbstractdatasetgenerationprocesscomplexityofresultingtaskCandeepneuralnetworkslearntosolveanytask,harderandinpa...
Can Learn Machines its Not
2023-11-14 21:44:452003444.73 KB11
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Can Increasing Input Dimensionality Improve Deep Reinforcement Learning
CanIncreasingInputDimensionalityImproveDeepReinforcementLearning?KeiOta1TomoakiOiki1DeveshK.Jha2ToshisadaMariyama1DanielNikovski2Abstract1.IntroductionDeepreinforcementlearning(RL)algorithmsDeeprei...
Reinforcement Deep Can Input Dimensionality
2023-11-14 21:43:2213093.31 MB28
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Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems
CanStochasticZeroth-OrderFrank-WolfeMethodConvergeFasterforNon-ConvexProblems?HongchangGao1HengHuang12Abstractwhere⌦⇢Rddenotesaclosedconvexfeasibleset,eachcomponentfunctionfiissmoothandnon-convex...
Stochastic Can Method Faster Frank-Wolfe
2023-11-14 21:43:221131706.63 KB29
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Can autonomous vehicles identify, recover from, and adapt to distribution shifts
CanAutonomousVehiclesIdentify,RecoverFrom,andAdapttoDistributionShifts?AngelosFilos1PanagiotisTigas1RowanMcAllister2NicholasRhinehart2SergeyLevine2YarinGal1Abstracttrajectories,yiOut-of-training-di...
from and Can Identify autonomous
2023-11-14 21:43:226387.46 MB17
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Using Pre-Training Can Improve Model Robustness and Uncertainty
UsingPre-TrainingCanImproveModelRobustnessandUncertaintyDanHendrycks1KiminLee2MantasMazeika3AbstractSurprisingly,pre-trainingprovidesnoperformancebene-ﬁtonvarioustasksandarchitecturesovertrainingf...
Using and Model Can Improve
2023-11-13 14:48:557823.51 MB14
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Greedy Layerwise Learning Can Scale To ImageNet
GreedyLayerwiseLearningCanScaletoImageNetEugeneBelilovsky1MichaelEickenberg2EdouardOyallon3Abstractasspeechrecognition(Chanetal.,2016),naturallanguageprocessing(Vaswanietal.,2017),andreinforcementl...
Learning Can to Greedy Scale
2023-11-13 14:47:221823563.12 KB9
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Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs
ProblemDependentReinforcementLearningBoundsWhichCanIdentifyBanditStructureinMDPsAndreaZanette1EmmaBrunskill1Abstract(MDPs)andpartiallyobservableMDPs(POMDPs).Ban-ditsassumethattheactionstakendonotim...
Learning Reinforcement Can bounds Problem
2023-11-13 12:00:281431417.99 KB12
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Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games
CanDeepReinforcementLearningSolveErdos-Selfridge-SpencerGames?MaithraRaghu12AlexIrpan1JacobAndreas3RobertKleinberg2QuocLe1JonKleinberg2Abstractbehaviorisdifﬁcult.Optimalbehaviorintheseenviron-ment...
Learning Reinforcement Deep Can Games
2023-11-13 11:59:1215633.21 MB24
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When Can Multi-Site Datasets be Pooled for Regression Hypothesis Tests, $ ell_2$-consistency and Neuroscience Applications
WhenCanMulti-SiteDatasetsbePooledforRegression?HypothesisTests,2-consistencyandNeuroscienceApplicationsHaoHenryZhou1YilinZhang1VamsiK.Ithapu1SterlingC.Johnson12GraceWahba1VikasSingh1Abstractofscien...
for Can Be When Multi-Site
2023-11-12 20:45:301334375.9 KB14
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Sharp Minima Can Generalize For Deep Nets
SharpMinimaCanGeneralizeForDeepNetsLaurentDinh1RazvanPasCanu2SamyBengio3YoshuaBengio14Abstractapproximatecertainfunctions(e.g.Montufaretal.,2014;Raghuetal.,2016).Otherworks(e.gDauphinetal.,2014;Des...
for Deep Can Nets Generalize
2023-11-12 20:45:1412391.43 MB18
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Being Robust (in High Dimensions) Can Be Practical
BeingRobust(inHighDimensions)CanBePracticalIliasDiakonikolas1GautamKamath2DanielM.Kane3JerryLi2AnkurMoitra2AlistairStewart1Abstractgivencomefromanicedistribution,butthatanadversaryhasthepowertoarbi...
Being Robust in High Dimensions
2023-11-12 20:43:561090703.85 KB27
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