ScalableOptimalTransportinHighDimensionsforGraphDistances,EmbeddingAlignment,andMoreJohannesKlicpera1MartenLienen1StephanGünnemann1Abstractcostw.r.t.somepointwisecostfunction(e.g.theEuclideandista...
AccelerateCNNsfromThreeDimensions:AComprehensivePruningFrameworkWenxiaoWang12MinghaoChen1ShuaiZhao1LongChen34JinmingHu1HaifengLiu1DengCai1XiaofeiHe1WeiLiu2Abstract57Mostneuralnetworkpruningmethods,...
TheNeuralTangentKernelinHighDimensions:TripleDescentandaMulti-ScaleTheoryofGeneralizationBenAdlam†1JeffreyPennington1AbstractClassicalregimeAbundantparameterizationSuperabundantparameterizationMod...
One-shotDistributedRidgeRegressioninHighDimensionsEdgarDobriban1YueSheng12Abstractspeaking,thedataisdividedupamongcomputingunits,whichperformmostofthecomputationlocally,andsyn-Toscaleupdataanalysis...
RehashingKernelEvaluationinHighDimensionsParisSiminelakis1KexinRong1PeterBailis1MosesCharikar1PhilipLevis1Abstract(a)kernel(b)difficultcase(c)simplecaseKernelmethodsareeffectivebutdonotscalewellFig...
LocalDensityEstimationinHighDimensionsXianWu1MosesCharikar1VishnuNatchu2Abstractchinelearningmethodsareincreasinglyshiftingtowardse.g.wordembeddings(Penningtonetal.,2014;MikolovAnimportantquestiont...
ExploringHiddenDimensionsinParallelizingConvolutionalNeuralNetworksZhihaoJia1SinaLin2CharlesR.Qi1AlexAiken1Abstracteachdevice.Anothercommonapproachismodelparal-lelism(Mirhoseinietal.,2017;Kimetal.,...
BeingRobust(inHighDimensions)CanBePracticalIliasDiakonikolas1GautamKamath2DanielM.Kane3JerryLi2AnkurMoitra2AlistairStewart1Abstractgivencomefromanicedistribution,butthatanadversaryhasthepowertoarbi...