"is"的相关文档

标签“is”的相关文档，共29条

Expectation Maximization with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
MaximumLikelihoodwithBias-CorrectedCalibrationisHard-To-BeatatLabelShiftAdaptationAmrM.Alexandari1AnshulKundaje12Avantishrikumar1Abstract1.IntroductionLabelshiftreferstothephenomenonwheretheImagine...
Maximization with is Calibration Expectation
2023-11-14 21:44:061440356.26 KB3
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Beyond Signal Propagation is Feature Diversity Necessary in Deep Neural Network Initialization
BeyondSignalPropagation:isFeatureDiversityNecessaryinDeepNeuralNetworkInitialization?YanivBlumenfeld1DarGilboa2DanielSoudry1Abstractadetailedanalysisoftheirdynamicsandgeneralizationproperties.Unlik...
Feature Beyond is Propagation Signal
2023-11-14 21:43:1510732.4 MB4
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Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
Recht–Re´NoncommutativeArithmetic-GeometricMeanConjectureisFalseZehuaLai1Lek-HengLim1Abstractinmachinelearningcomputations,stochasticvariantsofgradientdescent(Bottou,2010;Johnson&Zhang,2013;Stoch...
Mean is False Recht-Re Noncommutative
2023-11-14 17:19:241704351.94 KB2
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Unreproducible Research is Reproducible
UnreproducibleResearchisReproducibleXavierBouthillier1Ce´sarLaurent1PascalVincent123Abstractvatedbypastevidenceoflackofscientiﬁcrigour,researcherbiases,andfraud(Eisner,2018).Theapparentcontradict...
is Reproducible Unreproducible Research
2023-11-13 14:48:5517252.65 MB15
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What is the Effect of Importance Weighting in Deep Learning
WhatistheEffectofImportanceWeightinginDeepLearning?JonathonByrd1ZacharyC.Lipton1AbstractEq[f(x)],importancesamplingproducesanunbiasedesti-matebyweightingeachsamplexaccordingtothelikelihoodImportanc...
of the effect Importance is
2023-11-13 14:46:097074.68 MB21
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is Generator Conditioning Causally Related to GAN Performance
isGeneratorConditioningCausallyRelatedtoGANPerformance?AugustusOdena1JacobBuckman1CatherineOlsson1TomB.Brown1ChristopherOlah1ColinRaffel1IanGoodfellow1Abstract&Bottou,2017).Themostnotableofthesepat...
to is GAN Related Generator
2023-11-13 11:59:4919651.43 MB30
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Greed is Still Good Maximizing Monotone Submodular+Supermodular (BP) Functions
GreedisStillGood:MaximizingMonotoneSubmodular+Supermodular(BP)FunctionsWenruoBai1JeffreyA.Bilmes12Abstractoptimalchoiceateachstageinthehopeofﬁndingagoodglobalsolution.Itisoneofthesimplest,mostwide...
Good is Maximizing Greed Still
2023-11-13 11:59:43886724.57 KB25
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Why is Posterior Sampling Better than Optimism for Reinforcement Learning
WhyisPosteriorSamplingBetterthanOptimismforReinforcementLearning?IanOsband12BenjaminVanRoy1Abstractmateoffuturevalueandselectstheactionwiththegreatestestimate.Ifaselectedactionisnotnear-optimal,the...
Sampling Posterior is Better Why
2023-11-12 20:45:348132.65 MB28
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Improving Viterbi is Hard Better Runtimes Imply Faster Clique Algorithms
ImprovingViterbiisHard:BetterRuntimesImplyFasterCliqueAlgorithmsArtursBackurs1ChristosTzamos1AbstractO(Tn2)timeforanyHMMwithnstatesandanobserva-tionsequenceoflengthT.ThisalgorithmisknownastheThecla...
Improving Hard Viterbi is Better
2023-11-12 20:44:331762328.09 KB23
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