ScalableComputationsofWassersteinBarycenterviaInputConvexNeuralNetworksJiaojiaoFan1AmirhosseinTaghvaei2YongxinChen1Abstractthepastfewyears,ithasfoundapplicationsinseveralma-chinelearningproblems.Fo...
In-DatabaseRegressioninInputSparsityTimeRajeshJayaram1AlirezaSamadian2DavidP.Woodruff1PengYe3Abstract1.IntroductionSketchingisapowerfuldimensionalityreductionSketchingisanimportanttoolfordimensiona...
Self-supervisedLabelAugmentationviaInputTransformationsHankookLee1SungJuHwang234JinwooShin21Abstractsentationlearningforimages(Doerschetal.,2015;Noroozi&Favaro,2016;Larssonetal.,2017;Gidarisetal.,2...
OptimaltransportmappingviaInputconvexneuralnetworksAshokVardhanMakkuva1AmirhosseinTaghvaei2JasonD.Lee3SewoongOh4Abstract1.IntroductionInthispaper,wepresentanovelandprincipledFindingamappingthattran...
NearInputSparsityTimeKernelEmbeddingsviaAdaptiveSamplingDavidP.Woodruff1AmirZandieh2Abstractproducingcompressedandlow-rankapproximationstoker-nelmatrices(Rahimi&Recht,2008;Alaoui&Mahoney,Toaccelera...
FrequencyBiasinNeuralNetworksforInputofNon-UniformDensityRonenBasri1MeiravGalun1AmnonGeifman1DavidJacobs2YoniKasten1ShiraKritchman1AbstractEpoch=3Epoch=100Recentworkshavepartlyattributedthegenerali...
CanIncreasingInputDimensionalityImproveDeepReinforcementLearning?KeiOta1TomoakiOiki1DeveshK.Jha2ToshisadaMariyama1DanielNikovski2Abstract1.IntroductionDeepreinforcementlearning(RL)algorithmsDeeprei...
InputSwitchedAffineNetworks:AnRNNArchitectureDesignedforInterpretabilityJakobN.Foerster1JustinGilmer2JaschaSohl-Dickstein3JanChorowski4DavidSussillo3AbstractquiringinterpretableMLincludeself-drivin...