"Neural"的相关文档 - 文库宝

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标签“Neural”的相关文档，共287条

A Novel Method to Solve Neural Knapsack Problems
ANovelMethodtoSolveNeuralKnapsackProblemsDuanshunLi1JingLiu2DongeunLee3AliSeyedmazloom4GiridharKaushik4KookjinLee5NoseongPark6Abstracttoastudy,KPsareoneofthetop-20mostpopularprob-lems(Kellereretal....
Neural to Method Novel Problems
2023-11-16 17:51:5619221.13 MB29
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Variable-Bitrate Neural Compression via Bayesian Arithmetic Coding
VariationalBayesianQuantizationYiboYang1RobertBamler1StephanMandt1Abstractforaparticularcompressionobjective.Here,westudyarelatedbutdifferentproblem:givenatrainedmodel,whatWeproposeanovelalgorithmf...
Neural Bayesian via Compression Coding
2023-11-14 21:46:589353.96 MB19
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Transformation of ReLU-based recurrent Neural networks from discrete-time to continuous-time
TransformationofReLU-basedrecurrentNeuralnetworksfromdiscrete-timetocontinuous-timeZahraMonfared1DanielDurstewitz12AbstractMorerecently,inthenaturalsciences,biologyandphysicsinparticular,RNNswereal...
of Neural from Networks Recurrent
2023-11-14 21:46:5116791.01 MB6
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Training Neural Networks for and by Interpolation
TrainingNeuralNetworksforandbyInterpolationLeonardBerrada1AndrewZisserman2M.PawanKumar2Abstractdimensionalnon-convexfunctions.Inpractice,themainalgorithmsofchoiceareStochasticGradientDescent(SGD)In...
Neural for Networks and by
2023-11-14 21:46:51706454.88 KB3
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Training Linear Neural Networks Non-Local Convergence and Complexity Results
TrainingLinearNeuralNetworks:Non-LocalConvergenceandComplexityResultsArminEftekhari1AbstractbythelinearmapLinearnetworksprovidevaluableinsightsintoRdx→RdytheworkingsofNeuralnetworksingeneral.Thisp...
Neural Networks and Convergence Linear
2023-11-14 21:46:511446408.45 KB24
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Training Binary Neural Networks using the Bayesian Learning Rule
TrainingBinaryNeuralNetworksusingtheBayesianLearningRuleXiangmingMeng1RomanBachmann2MohammadEmtiyazKhan1Abstractbyreplacingthemultiplicationandadditionoperationswiththebit-wisexnorandbitcountoperat...
Neural Using Networks the Bayesian
2023-11-14 21:46:5019361.9 MB27
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Training Binary Neural Networks through Learning with Noisy Supervision
TrainingBinaryNeuralNetworksthroughLearningwithNoisySupervisionKaiHan12YunheWang2YixingXu2ChunjingXu2EnhuaWu13ChangXu4AbstractFigure1.Frameworkoflearningbinaryneuronswithnoisysuper-vision.Anetworkf...
Learning Neural Networks with through
2023-11-14 21:46:50670529.05 KB27
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Towards a General Theory of Infinite-Width Limits of Neural Classifiers
TowardsaGeneralTheoryofInﬁnite-WidthLimitsofNeuralClassiﬁersEugeneA.Golikov1Abstractofinﬁnitewidth.Inparticular,(Jacotetal.,2018)showedthatifweightsareparameterizedinacertainwaythentheObtainingt...
of Neural Theory General Towards
2023-11-14 21:46:481896572.07 KB9
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The Neural Tangent Kernel in High Dimensions Triple Descent and a Multi-Scale Theory of Generalization
TheNeuralTangentKernelinHighDimensions:TripleDescentandaMulti-ScaleTheoryofGeneralizationBenAdlam†1JeffreyPennington1AbstractClassicalregimeAbundantparameterizationSuperabundantparameterizationMod...
Neural Kernel the in High
2023-11-14 21:46:4516441.59 MB23
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T-Basis a Compact Representation for Neural Networks
T-Basis:aCompactRepresentationforNeuralNetworksAntonObukhov1MaximRakhuba1StamatiosGeorgoulis1MenelaosKanakis1DengxinDai1LucVanGool12Abstractthatcontainmillionsoftrainableparametersandconsumelotsofm...
Neural for Networks Compact Representation
2023-11-14 21:46:4016321.18 MB24
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Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
SuperpolynomialLowerBoundsforLearningOne-LayerNeuralNetworksusingGradientDescentSurbhiGoel1AravindGollakota1ZhihanJin2SushrutKarmalkar1AdamKlivans1AbstractOurResults.Inthispaperwegivetheﬁrstsuperp...
Learning Neural for bounds Lower
2023-11-14 21:46:381285331.33 KB8
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Spectral Clustering with Graph Neural Networks for Graph Pooling
SpectralClusteringwithGraphNeuralNetworksforGraphPoolingFilippoMariaBianchi1DanieleGrattarola2CesareAlippi23AbstractMessage-passingMinCutPoolMessage-passingSpectralclustering(SC)isapopularclusterin...
Neural for Networks with Graph
2023-11-14 21:46:281535691.72 KB26
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SDE-Net Equipping Deep Neural Networks with Uncertainty Estimates
SDE-Net:EquippingDeepNeuralNetworkswithUncertaintyEstimatesLingkaiKong1JimengSun2ChaoZhang1Abstractbilitiesforclassiﬁcation(Guoetal.,2017).Moreover,theycanmakeerroneousyetwildlyconﬁdentprediction...
Neural Networks with Deep Uncertainty
2023-11-14 21:46:1917579.31 MB24
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Robust Graph Representation Learning via Neural Sparsification
RobustGraphRepresentationLearningviaNeuralSparsiﬁcationChengZheng1BoZong2WeiCheng2DongjinSong2JingchaoNi2WenchaoYu2HaifengChen2WeiWang1Abstracttioninsocialnetworks(Akogluetal.,2015),recommen-datio...
Learning Neural Graph via Robust
2023-11-14 21:46:1315553.44 MB24
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Retro Learning Retrosynthetic Planning with Neural Guided A Search
Retro:LearningRetrosyntheticPlanningwithNeuralGuidedASearchBinghongChen1ChengtaoLi2HanjunDai3LeSong14AbstractExistingmethodsroughlyfallintotwocategories,eithertemplate-basedortemplate-free.Eachchem...
Learning Neural with Planning Guided
2023-11-14 21:46:1017441.12 MB4
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Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
RethinkingBias-VarianceTrade-offforGeneralizationofNeuralNetworksZitongYang1YaodongYu1ChongYou1JacobSteinhardt12YiMa1Abstractfromamismatchbetweenthemodelclassandtheunder-lyingdatadistribution,andis...
of Neural for generalization Bias-Variance
2023-11-14 21:46:109901.71 MB27
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Optimization Theory for ReLU Neural Networks Trained with Normalization Layers
OptimizationTheoryforReLUNeuralNetworksTrainedwithNormalizationLayersYonatanDukler1QuanquanGu2GuidoMontúfar134AbstractofadditionalnormalizationmethodsfollowedBN,notablyincludingLayerNormalization(...
Neural for Networks Optimization Theory
2023-11-14 21:45:441221526.25 KB25
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Optimal transport mapping via input convex Neural networks
OptimaltransportmappingviainputconvexNeuralnetworksAshokVardhanMakkuva1AmirhosseinTaghvaei2JasonD.Lee3SewoongOh4Abstract1.IntroductionInthispaper,wepresentanovelandprincipledFindingamappingthattran...
Neural via Optimal Transport Convex
2023-11-14 21:45:4317542.39 MB30
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On the Expressivity of Neural Networks for Deep Reinforcement Learning
OntheExpressivityofNeuralNetworksforDeepReinforcementLearningKefanDong1YupingLuo2TianheYu3ChelseaFinn3TengyuMa3Abstractwiththeestimateddynamics(Nagabandietal.,2018;Chuaetal.,2018;Wang&Ba,2019).Weco...
of Neural for Networks on
2023-11-14 21:45:3210781012.91 KB29
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Non-Autoregressive Neural Text-to-Speech
Non-AutoregressiveNeuralText-to-SpeechKainanPeng∗1WeiPing∗1ZhaoSong∗1KexinZhao∗1Abstractgram.Thispipelinerequiresmuchlessexpertknowledgeandonlyneedspairsofaudioandtranscriptastrainingdata.Inthi...
Neural Text-to-Speech Non-Autoregressive
2023-11-14 21:45:23840484.87 KB5
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