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标签“Training”的相关文档，共82条

Variance Reduced Training with Stratified Sampling for Forecasting Models
VarianceReducedTrainingwithStratiﬁedSamplingforForecastingModelsYuchengLu12YoungsukPark2LifanChen2YuyangWang2ChristopherDeSa1DeanFoster34Abstract2004)arethefolkloremethodsformodelingthedynamicsofa...
for Sampling with Variance Reduced
2023-11-16 19:42:22588695.21 KB29
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Training Recurrent Neural Networks via Forward Propagation Through Time
TrainingRecurrentNeuralNetworksviaForwardPropagationThroughTimeAnilKag1VenkateshSaligrama1Abstractempiricalriskfunction:Back-propagationthroughtime(BPTT)hasbeen[W∗,v∗]=argminL(W,v)=1NT(yi,yˆti)w...
Neural Networks Recurrent via Forward
2023-11-16 19:42:14923784.66 KB5
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Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
TrainingQuantizedNeuralNetworkstoGlobalOptimalityviaSemideﬁniteProgrammingBurakBartan1MertPilanci1Abstractdimensionsusingsemideﬁniteprogramming(Bartan&Pi-lanci,2021).Inthiswork,wetakeasimilarconv...
Neural Networks to Global Training
2023-11-16 19:42:141343883.91 KB1
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Training data-efficient image transformers & distillation through attention
Trainingdata-efﬁcientimagetransformers&distillationthroughattentionHugoTouvron12MatthieuCord12MatthijsDouze1FranciscoMassa1AlexandreSablayrolles1Herve´Je´gou1Abstract⚗↑⚗Recently,neuralnetwork...
through Image Data-Efficient Attention Training
2023-11-16 19:42:131219346.67 KB3
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Training Graph Neural Networks with 1000 Layers
TrainingGraphNeuralNetworkswith1000LayersGuohaoLi12MatthiasMu¨ller1BernardGhanem2VladlenKoltun1AbstractRevGNN-WideResGNN-224Deepgraphneuralnetworks(GNNs)have88achievedexcellentresultsonvarioustask...
Neural Networks with Graph Training
2023-11-16 19:42:1314264.07 MB11
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Training Data Subset Selection for Regression with Controlled Generalization Error
TrainingDataSubsetSelectionforRegressionWithControlledGeneralizationErrorDurgaSivasubramanian1RishabhIyer2GaneshRamakrishnan1AbirDe1Abstractreliabilityofthelearnedmodel.Therefore,thesuccessofsevera...
for Selection with Regression Data
2023-11-16 19:42:131657615.54 KB12
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Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
TrainingAdversariallyRobustSparseNetworksviaBayesianConnectivitySamplingOzanO¨zdenizci12RobertLegenstein1AbstractSeminalworkby(Szegedyetal.,2013)showedthatsuchadversarialexamplescanbecreatedviaper...
Networks Sparse Bayesian via Robust
2023-11-16 19:42:13774366.9 KB1
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TeraPipe Token-Level Pipeline Parallelism for Training Large-Scale Language Models
TeraPipe:Token-LevelPipelineParallelismforTrainingLarge-ScaleLanguageModelsZhuohanLi1SiyuanZhuang1ShiyuanGuo1DanyangZhuo2HaoZhang1DawnSong1IonStoica1Abstractbitﬂoating-pointnumbers.Thissigniﬁcant...
for Large-Scale Training Pipeline TeraPipe
2023-11-16 19:42:0317073.47 MB3
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Simple and Effective VAE Training with Calibrated Decoders
SimpleandEffectiveVAETrainingwithCalibratedDecodersOlehRybkin1KostasDaniilidis1SergeyLevine2AbstractHowever,inpractice,manyoftheseapproachesrequirecarefulmanualtuningofthebalancebetweentwotermsthat...
and with simple Effective Training
2023-11-16 19:41:4813701.11 MB8
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Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Self-supervisedandSupervisedJointTrainingforResource-richMachineTranslationYongCheng1WeiWang†LuJiang12WolfgangMacherey1Abstractsupervisedtaskonabundantunlabeleddata(i.e.monolin-gualsentences).Inth...
for and Self-supervised Joint Supervised
2023-11-16 19:41:451918549.16 KB25
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Selfish Sparse RNN Training
SelﬁshSparseRNNTrainingShiweiLiu1DecebalConstantinMocanu12YulongPei1MykolaPechenizkiy1Abstract1.IntroductionSparseneuralnetworkshavebeenwidelyappliedRecurrentneuralnetworks(RNNs)(Elman,1990),witha...
Sparse RNN Training Selfish
2023-11-16 19:41:451471879.98 KB10
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Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
ProvableRobustnessofAdversarialTrainingforLearningHalfspaceswithNoiseDifanZou1SpencerFrei2QuanquanGu1AbstractToformalizetheabovecomment,letusdeﬁnethero-Weanalyzethepropertiesofadversarialtrain-bus...
Learning of for Adversarial Robustness
2023-11-16 19:28:331989450.02 KB17
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PipeTransformer Automated Elastic Pipelining for Distributed Training of Large-scale Models
PipeTransformer:AutomatedElasticPipeliningforDistributedTrainingofLarge-scaleModelsChaoyangHe1ShenLi2MahdiSoltanolkotabi1SalmanAvestimehr1AbstractTransformer(ViT)(Dosovitskiyetal.,2020)alsoachieved...
for Distributed Automated Elastic Training
2023-11-16 19:28:2913673.28 MB9
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Parallelizing Legendre Memory Unit Training
ParallelizingLegendreMemoryUnitTrainingNarsimhaChilkuri1ChrisEliasmith12Abstractmakeitpossibleforustoexploitresourcessuchasthein-ternet,1whichproduces20TBoftextdataeachmonth.ARecently,anewrecurrent...
Unit Memory Training Parallelizing Legendre
2023-11-16 19:28:27936667.93 KB14
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Optimal Complexity in Decentralized Training
OptimalComplexityinDecentralizedTrainingYuchengLu1ChristopherDeSa1AbstractTable1.Designchoiceofcentralizationanddecentralizationindifferentlayersofaparallelmachinelearningsystem.TheprotocolDecentra...
Complexity in Optimal Decentralized Training
2023-11-16 19:28:2518931.07 MB1
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Neural Architecture Search without Training
NeuralArchitectureSearchwithoutTrainingJosephMellor1JackTurner2AmosStorkey2ElliotJ.Crowley3Abstractshiftfromdesigningarchitecturestodesigningalgorithmsthatsearchforcandidatearchitectures(Elskenetal...
Neural without Search Architecture Training
2023-11-16 19:15:3415661.53 MB7
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Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Multi-AgentTrainingbeyondZero-SumwithCorrelatedEquilibriumMeta-SolversLukeMarris12PaulMuller13MarcLanctot1KarlTuyls1ThoreGraepel12AbstractAvisetal.,2010;Harsanyi&Selten,1988).2Two-player,constant-s...
with Beyond Multi-Agent Equilibrium Zero-Sum
2023-11-16 19:15:308822.14 MB14
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Memory-Efficient Pipeline-Parallel DNN Training
Memory-EfﬁcientPipeline-ParallelDNNTrainingDeepakNarayanan1AmarPhanishayee2KaiyuShi3XieChen3MateiZaharia1Abstractever,modelparallelism,whentraditionallydeployed,caneitherleadtoresourceunder-utiliz...
Memory-efficient Training Pipeline-Parallel DNN
2023-11-16 19:05:169331.48 MB6
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Improved Contrastive Divergence Training of Energy-Based Models
ImprovedContrastiveDivergenceTrainingofEnergy-BasedModelsYilunDu1ShuangLi1JoshuaTenenbaum1IgorMordatch2AbstractFigure1:(Left)128x128samplesonunconditionalCelebA-HQ.(Right)128x128samplesonunconditio...
of Models Improved Energy-Based Training
2023-11-16 18:47:019928.08 MB13
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Improved OOD Generalization via Adversarial Training and Pretraing
ImprovedOODGeneralizationviaAdversarialTrainingandPre-TrainingMingyangYi12†LuHou3JiachengSun3LifengShang3XinJiang3QunLiu3Zhi-MingMa12Abstractmanceofthemodelonthedatafromashifteddistributionaroundt...
Adversarial and via generalization Improved
2023-11-16 18:47:01916594.25 KB11
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