ImprovingModelSelectionbyEmployingtheTestDataMaxWestphal1WernerBrannath1AbstractThisisinparticulartruewhenlabelleddataisexpensivetoacquireanddatasetsarethusonlyofmodestsizeortheem-Modelselectionand...
ImprovingNeuralLanguageModelingviaAdversarialTrainingDilinWang1ChengyueGong1QiangLiu1AbstractUnfortunately,amajorchallengeintraininglargescaleRNN-basedlanguagemodelsistheirtendencytooverfit;Recentl...
ImprovingNeuralNetworkQuantizationwithoutRetrainingusingOutlierChannelSplittingRitchieZhao1YuweiHu1JordanDotzel1ChristopherDeSa1ZhiruZhang1AbstracttoreducingthecostsofDNNexecutionistoquantizetheflo...
ImprovingAdversarialRobustnessviaPromotingEnsembleDiversityTianyuPang1KunXu1ChaoDu1NingChen1JunZhu1Abstract2017b;Athalyeetal.,2018),whereimageswithhumanimperceptibleperturbations(i.e.,adversarialex...
Flow++:ImprovingFlow-BasedGenerativeModelswithVariationalDequantizationandArchitectureDesignJonathanHo1XiChen12AravindSrinivas1YanDuan2PieterAbbeel12Abstractvideos,toaudiosignalsandnaturallanguage(...
AnalyzingandImprovingRepresentationswiththeSoftNearestNeighborLossNicholasFrosst1NicolasPapernot1GeoffreyHinton1Abstractthesoftnearestneighborloss(Salakhutdinov&Hinton,2007),whichweexploretomeasure...
APersonalizedAffectiveMemoryModelforImprovingEmotionRecognitionPabloBarros1GermanI.Parisi12StefanWermter1Abstracttechniques(Ngetal.,2015;Kayaetal.,2017),neuralactiva-tionanddatadistributionregulari...
RevivingandImprovingRecurrentBack-PropagationRenjieLiao123YuwenXiong12EthanFetaya13LisaZhang13KiJungYoon45XaqPitkow45RaquelUrtasun123RichardZemel136Abstractetal.,2016).Moreover,asthenumberofunrolli...
ImprovingthePrivacyandAccuracyofADMM-BasedDistributedAlgorithmsXueruZhang1MohammadMahdiKhalili1MingyanLiu1Abstractinteractiveprocessoflocalcomputationandmessagepass-ing,whichideallyshouldresultinal...
ImprovingtheGaussianMechanismforDifferentialPrivacy:AnalyticalCalibrationandOptimalDenoisingBorjaBalle1Yu-XiangWang23AbstracttheGaussianmechanismisthebuildingblockofprivateempiricalriskminimization...
ImprovingSignRandomProjectionsWithAdditionalInformationKeeganKang1WongWeiPin1Abstractgularsimilaritywithhighprobability.ThetimetakenunderthistechniquewouldbereducedtoO(npk+n2k).Signrandomprojection...
ImprovingRegressionPerformancewithDistributionalLossesEhsanImani1MarthaWhite1Abstractorabsoluteerrorforregression—butthoselossesarenotnecessarilydirectlyminimized.Thereisgrowingevidencethatconvert...
ImprovingOptimizationforModelsWithContinuousSymmetryBreakingRobertBamler1StephanMandt1AbstractWeakcontinuoussymmetrybreakingleadstoanill-conditionedoptimizationproblem.WhenalossfunctionisManylossfu...
ParsevalNetworks:ImprovingRobustnesstoAdversarialExamplesMoustaphaCisse1PiotrBojanowski1EdouardGrave1YannDauphin1NicolasUsunier1Abstractpernotetal.,2016a).Inpractice,forasignificantportionofinputs,...
ImprovingViterbiisHard:BetterRuntimesImplyFasterCliqueAlgorithmsArtursBackurs1ChristosTzamos1AbstractO(Tn2)timeforanyHMMwithnstatesandanobserva-tionsequenceoflengthT.ThisalgorithmisknownastheThecla...
ImprovingGibbsSamplerScanQualitywithDoGS12IoannisMitliagkasLesterMackeyAbstracttion.Theprincipaldegreeoffreedomisthescan,theorderinwhichvariablesaresampled(Heetal.,2016).WhileitThepairwiseinfluence...
ImprovingStochasticPolicyGradientsinContinuousControlwithDeepReinforcementLearningusingtheBetaDistributionPo-WeiChou1DanielMaturana1SebastianScherer1AbstractFigure1.Anexampleofcontinuouscontrolwith...
DARLA:ImprovingZero-ShotTransferinReinforcementLearning111111IrinaHigginsArkaPalAndreiRusuLoicMattheyChristopherBurgessAlexanderPritzel111MatthewBotvinickCharlesBlundellAlexanderLerchnerAbstractef...