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标签“Using”的相关文档，共97条

GDPP Learning Diverse Generations Using Determinantal Point Processes
GDPP:LearningDiverseGenerationsUsingDeterminantalPointProcessesMohamedElfeki1CamilleCouprie2MorganeRivie`re2MohamedElhoseiny23AbstractGenerativemodelshaveproventobeanoutstand-Figure1.InspiredbyDPP,...
Learning Using Point Determinantal Diverse
2023-11-13 14:47:167371.11 MB23
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Efficient On-Device Models Using Neural Projections
EfﬁcientOn-DeviceModelsUsingNeuralProjectionsSujithRavi1Abstractofdatatolearnusefulrepresentationsthatcanbeusedtopredictoutputsatinferencetime.Forefﬁciencyrea-Manyapplicationsinvolvingvisualandla...
Neural Using Efficient Models Projections
2023-11-13 14:47:021710739.09 KB14
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Dynamic Measurement Scheduling for Event Forecasting Using Deep RL
DynamicMeasurementSchedulingforEventForecastingUsingDeepRLChun-HaoChang123MingjieMai123AnnaGoldenberg123AbstractandsurgicalICU.Theseﬁndingspointtowardtheneedforprincipleddata-drivenapproachesforla...
for Using Dynamic Event Forecasting
2023-11-13 14:46:5916712.25 MB6
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DeepNose Using artificial neural networks to represent the space of odorants
DeepNose:UsingartiﬁcialneuralnetworkstorepresentthespaceofodorantsNgocB.Tran1DanielR.Kepple1SergeyA.Shuvaev1AlexeiA.Koulakov1Abstractmammals(Olenderetal.,2004).Here,westudythefactorsinﬂuencingthe...
Artificial Neural Using Networks to
2023-11-13 14:46:5116722.59 MB14
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Composing Entropic Policies Using Divergence Correction
ComposingEntropicPoliciesUsingDivergenceCorrectionJonathanJHunt1AndreBarreto1TimothyPLillicrap1NicolasHeess1Abstractetal.,2012;Haith&Krakauer,2013)However,oncesuchskillshavebeenacquiredhumansrapidl...
Using Composing Policies Divergence Entropic
2023-11-13 14:46:4219911.95 MB23
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Combating Label Noise in Deep Learning Using Abstention
CombatingLabelNoiseinDeepLearningUsingAbstentionSunilThulasidasan12TanmoyBhattacharya1JeffreyBilmes2GopinathChennupati1JamaludinMohd-Yusof1AbstractImageNetdatabase(Dengetal.,2009)usedfortrainingvis...
Learning Using Deep in Noise
2023-11-13 14:46:4018166.85 MB5
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Better generalization with less data Using robust gradient descent
BettergeneralizationwithlessdataUsingrobustgradientdescentMatthewJ.Holland1KazushiIkeda2Abstractthedefactostandardlearningstrategyfortacklingmostma-chinelearningproblems(Kearns&Schapire,1994;Bartle...
Using with Data Robust generalization
2023-11-13 14:46:3110104.36 MB21
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Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
TransferinDeepReinforcementLearningUsingSuccessorFeaturesandGeneralisedPolicyImprovementAndre´Barreto1DianaBorsa1JohnQuan1TomSchaul1DavidSilver1MatteoHessel1DanielMankowitz1AugustinZˇ´ıdek1Re´...
Learning Using Reinforcement Deep in
2023-11-13 12:00:5413771.59 MB27
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Synthesizing Programs for Images Using Reinforced Adversarial Learning
SynthesizingProgramsforImagesUsingReinforcedAdversarialLearningYaroslavGanin1TejasKulkarni2IgorBabuschkin2S.M.AliEslami2OriolVinyals2AbstractFigure1.SPIRALtakesasinputeitherrandomnoiseorimagesandit...
for Using Adversarial Programs Images
2023-11-13 12:00:4816402.31 MB8
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Solving Partial Assignment Problems Using Random Clique Complexes
SolvingPartialAssignmentProblemsUsingRandomCliqueComplexesCharuSharma1DeepakNathani1ManoharKaul1AbstractFigure1.Matchingcliquesoftwohouseswith1-cliques(red),2-cliques(green),3-cliques(blue).Violeta...
Using random Partial Problems Solving
2023-11-13 12:00:4111021.63 MB5
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SMAC Simultaneous Mapping and Clustering Using Spectral Decompositions
SMAC:SimultaneousMappingandClusteringUsingSpectralDecompositionsChandrajitBajaj1TingranGao2ZihangHe3QixingHuang1ZhenxiaoLiang3Abstractastandardsurveyand(Kimetal.,2011;Mandadetal.,2017)forsomerecent...
Using and Clustering Spectral Simultaneous
2023-11-13 12:00:4011003.32 MB5
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Scalable Bilinear Pi Learning Using State and Action Features
ScalableBilinearπLearningUsingStateandActionFeaturesYichenChen1LihongLi2MengdiWang3Abstracte.g.,Azaretal.(2013)).Inotherwords,thereisanoraclethattakes(s,a)asinputandoutputsarandomswithprob-Approxi...
Learning Using and Scalable State
2023-11-13 12:00:361088346.04 KB27
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Reinforcing Adversarial Robustness Using Model Confidence Induced by Adversarial Training
ReinforcingAdversarialRobustnessUsingModelConﬁdenceInducedbyAdversarialTrainingXiWu1UyeongJang2JiefengChen2LingjiaoChen2SomeshJha2Abstractbeendevotedtohardeningneuralnetworksagainstadver-sarialper...
Using Adversarial Model Induced Robustness
2023-11-13 12:00:331571338.05 KB18
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Nonparametric variable importance Using an augmented neural network with multi-task learning
NonparametricvariableimportanceUsinganaugmentedneuralnetworkwithmulti-tasklearningJeanFeng1BrianD.Williamson1MarcoCarone12NoahSimon1Abstractrequiresarigorousdeﬁnitionofanestimablevariableim-portan...
Neural Using An Nonparametric Importance
2023-11-13 12:00:17786887.58 KB24
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Modeling Sparse Deviations for Compressed Sensing Using Generative Models
ModelingSparseDeviationsforCompressedSensingUsingGenerativeModelsManikDhar1AdityaGrover1StefanoErmon1Abstractcations,amongmanyothers,canbeneﬁtsigniﬁcantlyfromcompressedsensingtechniquestoacquires...
for Using Sparse Compressed Sensing
2023-11-13 12:00:128398.58 MB30
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Modeling Others Using Oneself in Multi-Agent Reinforcement Learning
ModelingOthersUsingOneselfinMulti-AgentReinforcementLearningRobertaRaileanu1EmilyDenton1ArthurSzlam2RobFergus12Abstractofunderstandingwhattheotherplayeristryingtoachieve,anagentshouldaskitself“wha...
Using Reinforcement in Multi-Agent Modeling
2023-11-13 12:00:111490857.66 KB24
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MISSION Ultra Large-Scale Feature Selection Using Count-Sketches
MISSION:UltraLarge-ScaleFeatureSelectionUsingCount-SketchesAmiraliAghazadeh1RyanSpring2DanielLeJeune3GautamDasarathy3AnshumaliShrivastava2RichardG.Baraniuk3Abstractderedpairs(Xi,yi)i∈[n],whereXi∈...
Using Feature Selection Large-Scale MISSION
2023-11-13 12:00:1015551.14 MB21
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Learning Deep ResNet Blocks Sequentially Using Boosting Theory
LearningDeepResNetBlocksSequentiallyUsingBoostingTheoryFurongHuang1JordanT.Ash2JohnLangford3RobertE.Schapire3Abstract&Szegedy,2015;Simonyan&Zisserman,2014;Szegedyetal.,2015)andobjectrecognition(Gir...
Learning Using Deep Boosting ResNet
2023-11-13 11:59:552004711.04 KB10
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Learning Diffusion Using Hyperparameters
LearningDiffusionUsingHyperparametersDimitrisKalimeris1YaronSinger1KarthikSubbian2UdiWeinsberg2AbstractECDF1Lookback0.9Inthispaperweadvocateforahyperparametric0.87approachtolearndiffusionintheindep...
Learning Using Diffusion Hyperparameters
2023-11-13 11:59:551025508.74 KB4
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Large-Scale Cox Process Inference Using Variational Fourier Features
Large-ScaleCoxProcessInferenceUsingVariationalFourierFeaturesSTJohn1JamesHensman1Abstractspatiotemporaldomain,whichcannotbecomputedingen-eral.Therearethreepotentialremediestothisissue.First,Gaussia...
Using Inference Variational Process Large-Scale
2023-11-13 11:59:5115283.58 MB12
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