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标签“Fast”的相关文档，共74条

SG-PALM a Fast Physically Interpretable Tensor Graphical Model
SG-PALM:aFastPhysicallyInterpretableTensorGraphicalModelYuWang1AlfredHero1Abstractsizeisoneifweaimtoestimatethedependencystructureacrossdifferentsensors,timeandexperimentalconditionsWeproposeanewgr...
Model Fast Graphical Tensor Interpretable
2023-11-16 19:41:46735968.22 KB12
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PHEW Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
PHEW:ConstructingSparseNetworksthatLearnFastandGeneralizeWellWithoutTrainingDataShreyasMalakarjunPatil1ConstantineDovrolis1Abstracterally,suchmethodsuseanedgescoringmechanismforeliminatingthelessim...
Networks Sparse Fast Learn that
2023-11-16 19:28:287941.03 MB7
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Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
Neuro-algorithmicPoliciesEnableFastCombinatorialGeneralizationMarinVlastelica1,MichalRolínek1GeorgMartius1inputrepresentationt+2Dijkstra'sshortestpathpredictedHammingexpert2frameslearningt+1trajec...
Fast generalization Policies Combinatorial Neuro-algorithmic
2023-11-16 19:15:379409.52 MB12
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Newton Method over Networks is Fast up to the Statistical Precision
NewtonMethodoverNetworksisFastuptotheStatisticalPrecisionAmirDaneshmand1GesualdoScutari1PavelDvurechensky23AlexanderGasnikov43Abstractwhere:Rd×Z→Risthelossfunction,assumedtobe(strongly)convexinx,...
Networks Newton Fast Method is
2023-11-16 19:15:37618486.91 KB27
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Linear Transformers Are Secretly Fast Weight Programmers
LinearTransformersAreSecretlyFastWeightProgrammersImanolSchlag∗1KazukiIrie∗1Ju¨rgenSchmidhuber1Abstractﬁeldnetwork(Ramsaueretal.,2021;Krotov&Hopﬁeld,2016;Demircigiletal.,2017).Itextendsaformof...
Fast Are Linear Weight Transformers
2023-11-16 19:05:089921.27 MB10
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Fast Stochastic Bregman Gradient Methods Sharp Analysis and Variance Reduction
FastStochasticBregmanGradientMethods:SharpAnalysisandVarianceReductionRadu-AlexandruDragomir12MathieuEven23HadrienHendrikx23Abstractgoalistorecoveranunknownsignalfromalargenumberofnoisyobservations...
Gradient Analysis Methods Stochastic Fast
2023-11-16 18:38:098681.39 MB8
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Fast Sketching of Polynomial Kernels of Polynomial Degree
FastSketchingofPolynomialKernelsofPolynomialDegreeZhaoSong1DavidP.Woodruff2ZhengYu3LichenZhang4Abstractdatapointsislarge.Typically,applyingthekernelfunc-tiontoeachpairofdatapointstakesO(d)time.This...
of Fast Kernels Sketching Polynomial
2023-11-16 18:38:08624365.76 KB20
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Fast margin maximization via dual acceleration
FastMarginMaximizationviaDualAccelerationZiweiJi1NathanSrebro2MatusTelgarsky1Abstractmargin0.050.00Wepresentandanalyzeamomentum-basedgra-−0.05Alg1/eq(1.1)dientmethodfortraininglinearclassiﬁerswit...
Maximization via Fast Dual Margin
2023-11-16 18:38:087771.23 MB3
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Fast Projection Onto Convex Smooth Constraints
FastProjectionOntoConvexSmoothConstraintsIlnuraUsmanova1MaryamKamgarpour2AndreasKrause3KﬁrYehudaLevy45Abstractsmoothconstraints,i.e.,ourconstraintsetKisTheEuclideanprojectionontoaconvexsetisK={x∈...
Fast Convex Projection Constraints Smooth
2023-11-16 18:38:08856369.64 KB25
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Fast active learning for pure exploration in reinforcement learning
FastactivelearningforpureexplorationinreinforcementlearningPierreMénard1OmarDarwicheDomingues2EmilieKaufmann23AndersJonsson4EdouardLeurent2MichalValko235Abstracthowtoexploreefﬁciently.Inparticula...
Learning Active for in Fast
2023-11-16 18:38:081033404.16 KB11
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Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss
FastAlgorithmsforStackelbergPredictionGamewithLeastSquaresLossJialiWang1HeChen2RujunJiang1XudongLi1ZihaoLi2Abstractcertainareas,suchascybersecurity,thenatureofapplica-tionsrequireshighrobustnessofM...
for Algorithms with Fast Prediction
2023-11-16 18:38:071638451.7 KB21
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DeepReDuce ReLU Reduction for Fast Private Inference
DeepReDuce:ReLUReductionforFastPrivateInferenceNandanKumarJha1ZahraGhodsi1SiddharthGarg1BrandonReagen1AbstractTest(top-1)accuracy(%)80DeepReDuceTherecentriseofprivacyconcernshasledre-75SAFENetsearc...
for Inference Reduction Fast Private
2023-11-16 18:31:021056415.62 KB2
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Distributed Second Order Methods with Fast Rates and Compressed Communication
DistributedSecondOrderMethodswithFastRatesandCompressedCommunicationRustemIslamov12XunQian1PeterRichta´rik1Abstract1.IntroductionWedevelopseveralnewcommunication-efﬁcientTheprevalentparadigmfortr...
Distributed with Methods Fast Rates
2023-11-16 18:30:487673.99 MB28
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Transformers are RNNs Fast Autoregressive Transformers with Linear Attention
TransformersareRNNs:FastAutoregressiveTransformerswithLinearAttentionAngelosKatharopoulos12ApoorvVyas12NikolaosPappas3Franc¸oisFleuret12Abstractbytheglobalreceptiveﬁeldofself-attention,whichpro-c...
with Fast Are Linear Autoregressive
2023-11-14 21:46:52569429.81 KB26
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The Fast Algorithm for Submodular Maximization
TheFastAlgorithmforSubmodularMaximizationAdamBreuer1EricBalkanski1YaronSinger1Abstract1.IntroductionInthispaperwedescribeanewparallelal-InthispaperwedescribeaFastparallelalgorithmforsub-gorithmcall...
for Submodular Maximization Algorithm the
2023-11-14 21:46:431356761.67 KB20
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Strength from Weakness Fast Learning Using Weak Supervision
StrengthfromWeakness:FastLearningUsingWeakSupervisionJoshuaRobinson1StefanieJegelka1SuvritSra1Abstractplexmodelonarelated,largedatatask,andtothenusesthelearnedfeaturesforﬁnetuningonthesmall-datata...
Learning from Using Fast Weak
2023-11-14 21:46:357225.68 MB8
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Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
SafeImitationLearningviaFastBayesianRewardInferencefromPreferencesDanielS.Brown1RussellColeman12RaviSrinivasan2ScottNiekum1Abstractdemonstrations,itisimportantforanagenttobeabletoprovidehigh-conﬁd...
Learning Bayesian via Fast Imitation
2023-11-14 21:46:161463405.42 KB5
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Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
MinimallyDistortedAdversarialExampleswithaFastAdaptiveBoundaryAttackFrancescoCroce1MatthiasHein1Abstracttherobustnessisevaluatedapproximatingthesolutionoftheminimaladversarialperturbationproblemthr...
Adaptive Adversarial with Fast Examples
2023-11-14 21:45:1010981.47 MB13
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LazyIter A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
LazyIter:AFastAlgorithmforCountingMarkovEquivalentDAGsandDesigningExperimentsAliAhmadiTeshnizi1SaberSalehkaleybar1NegarKiyavash2AbstractvariableXisadirectcauseofvariableY.Underthefaith-fulnessassum...
for Algorithm Markov Fast Counting
2023-11-14 21:44:481835360.19 KB6
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Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks
InducingandExploitingActivationSparsityforFastNeuralNetworkInferenceMarkKurtz1JustinKopinsky1RatiGelashvili1AlexanderMatveev1JohnCarr1MichaelGoin1WilliamLeiserson1SageMoore1BillNell1NirShavit1DanAl...
for and Fast Sparsity Exploiting
2023-11-14 21:44:381915724.51 KB28
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