"Improved"的相关文档

标签“Improved”的相关文档，共33条

Jumpout Improved Dropout for Deep Neural Networks with ReLUs
Jumpout:ImprovedDropoutforDeepNeuralNetworkswithReLUsShengjieWang1TianyiZhou1JeffA.Bilmes2Abstractperfectly,resultinginanoverﬁttingproblemandtherebyweakeningthegeneralizationperformanceonunseendat...
Neural for Networks Deep Dropout
2023-11-13 14:47:3312821.46 MB23
下载文档
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
ImprovedZeroth-OrderVarianceReducedAlgorithmsandAnalysisforNonconvexOptimizationKaiyiJi1ZheWang1YiZhou2YingbinLiang1Abstract1.IntroductionTwotypesofzeroth-orderstochasticalgorithmsZeroth-orderoptim...
and Algorithms Analysis Variance Improved
2023-11-13 14:47:2917741.18 MB10
下载文档
Improved Parallel Algorithms for Density-Based Network Clustering
ImprovedParallelAlgorithmsforDensity-BasedNetworkClusteringMohsenGhaffari1SilvioLattanzi2SlobodanMitrovic´3Abstractbasedclusteringingraphs:thedensestsubgraphproblemandthek-coredecompositionproblem...
for Algorithms Clustering Network Improved
2023-11-13 14:47:29868401.06 KB26
下载文档
Improved Convergence for $ ell_1$ and $ ell_∞$ Regression via Iteratively Reweighted Least Squares
ImprovedConvergencefor`1and`1RegressionviaIterativelyReweightedLeastSquaresAlinaEne1AdrianVladu1Abstractitistoreduceoptimizationproblemstoiterativelysolvingaseriesofweighted`2-minimizationproblems,...
for and ell Convergence Regression
2023-11-13 14:47:29599628.05 KB24
下载文档
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification
ImprovedDynamicGraphLearningthroughFault-TolerantSparsiﬁcationChunJiangZhu1SabineStorandt2Kam-YiuLam3SongHan1JinboBi1Abstractβ∗=(β∗,···,βn∗)withGaussiannoises,i.e.,forevery1Graphsparsiﬁc...
Learning Graph Dynamic through Improved
2023-11-13 14:47:28790347.29 KB24
下载文档
CapsAndRuns An Improved Method for Approximately Optimal Algorithm Configuration
CapsAndRuns:AnImprovedMethodforApproximatelyOptimalAlgorithmConﬁgurationGelle´rtWeisz1Andra´sGyo¨rgy12CsabaSzepesva´ri13Abstractlectingthesolverconﬁgurationinanapplication-speciﬁcway.Theprob...
for An Optimal Method Improved
2023-11-13 14:46:351861480.65 KB7
下载文档
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
AsynchronousBatchBayesianOptimisationwithImprovedLocalPenalisationAhsanS.Alvi12BinxinRu1JanCalliess13StephenJ.Roberts123MichaelA.Osborne12Abstractexample,considertheoptimisationofthenumberofunitsin...
with Local Asynchronous Bayesian Batch
2023-11-13 14:46:2711777.17 MB16
下载文档
PixelSNAIL An Improved Autoregressive Generative Model
PixelSNAIL:AnImprovedAutoregressiveGenerativeModelXiChen12NikhilMishra12MostafaRohaninejad12PieterAbbeel12Abstractallowmodelingcomplexdependencies.ComparedtoGANs(Goodfellowetal.,2014),neuralautoreg...
Generative An Model Improved Autoregressive
2023-11-13 12:00:2615141.16 MB9
下载文档
Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems
ImprovedRegretBoundsforThompsonSamplinginLinearQuadraticControlProblemsMarcAbeille1AlessandroLazaric2Abstracthasbeenmostlyaddressedfollowingtwomainapproaches:optimism-in-face-of-uncertainty(OFU)and...
for Sampling in Regret bounds
2023-11-13 11:59:461691347.15 KB20
下载文档
Improved Training of Generative Adversarial Networks Using Representative Features
ImprovedTrainingofGenerativeAdversarialNetworksusingRepresentativeFeaturesDuhyeonBang1HyunjungShim1Abstractapplications,includingsuper-resolution,colorization,facegeneration,imagecompletion,etc.(Ba...
of Using Networks Adversarial Generative
2023-11-13 11:59:467083.57 MB5
下载文档
Improved large-scale graph learning through ridge spectral sparsification
ImprovedLarge-ScaleGraphLearningthroughRidgeSpectralSparsiﬁcationDanieleCalandriello12IoannisKoutis3AlessandroLazaric4MichalValko1Abstractclustering(SC,VonLuxburg2007).Theintuitionbehindgraph-base...
Learning Graph through Spectral Large-Scale
2023-11-13 11:59:461023531.48 KB27
下载文档
Improved nearest neighbor search using auxiliary information and priority functions
ImprovednearestneighborsearchusingauxiliaryinformationandpriorityfunctionsOmidKeivani1KaushikSinha1AbstractThenaivelineartimesolution,thatscansthrougheachdatapointxi∈S,oftenbecomesimpracticalforla...
Using Auxiliary Search Improved Information
2023-11-13 11:59:451414940.16 KB6
下载文档
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
ImprovedVariationalAutoencodersforTextModelingusingDilatedConvolutionsZichaoYang1ZhitingHu1RuslanSalakhutdinov1TaylorBerg-Kirkpatrick1Abstractofthisclass:thevariationalautoencoder1(VAE)(Kingma&Well...
for Using Text Variational Autoencoders
2023-11-12 20:44:321577562.47 KB21
下载文档

首页上页 1 2 下页尾页