"Few-shot"的相关文档

标签“Few-shot”的相关文档，共16条

Parameterless Transductive Feature Re-representation for Few-shot Learning
ParameterlessTransductiveFeatureRe-representationforFew-shotLearningWentaoCui1YuhongGuo12AbstractFSLsolutionsaregenerallydevelopedintwobranches:meta-learningbasedmethodsandﬁnetuningbasedmeth-Recen...
Learning for Feature Few-shot Transductive
2023-11-16 19:28:28757544.85 KB18
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Learning a Universal Template for Few-shot Dataset Generalization
LearningaUniversalTemplateforFew-shotDatasetGeneralizationEleniTriantaﬁllou123HugoLarochelle2RichardZemel1VincentDumoulin2AbstractworkisshiftingtowardsamorechallenginginstanceofFew-shotclassiﬁcat...
Learning for generalization Few-shot Dataset
2023-11-16 19:04:571678645 KB3
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GP-Tree A Gaussian Process Classifier for Few-shot Incremental Learning
GP-Tree:AGaussianProcessClassiﬁerforFew-shotIncrementalLearningIdanAchituve1AvivNavon1YochaiYemini1GalChechik12EthanFetaya1Abstractoftrainingexamples.Thiscanlimitexactinferenceonlargedatasets,espe...
for Gaussian Process Incremental Classifier
2023-11-16 18:46:489382.47 MB29
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Few-shot Language Coordination by Modeling Theory of Mind
Few-shotLanguageCoordinationbyModelingTheoryofMindHaoZhu1GrahamNeubig1YonatanBisk1Abstractprocess,withawidevarietyofworksexaminingcommuni-cationbetweenagentsviaeithercompletelyartiﬁcialemer-Nomani...
of by Theory Modeling Language
2023-11-16 18:38:111270620.21 KB23
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Few-shot Conformal Prediction with Auxiliary Tasks
Few-shotConformalPredictionwithAuxiliaryTasksAdamFisch1TalSchuster1TommiJaakkola1ReginaBarzilay1Abstractforcreatingconﬁdence-basedsetpredictions(Vovketal.,2005).Concretely,supposewehavebeengivenne...
with Auxiliary Prediction Tasks Few-shot
2023-11-16 18:38:1117371.76 MB12
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Few-shot Neural Architecture Search
Few-shotNeuralArchitectureSearchYiyangZhao1LinnanWang2YuandongTian3RodrigoFonseca2TianGuo1AbstractOnearchitectureEfﬁcientevaluationofanetworkarchitecture?:entire?drawnfromalargesearchspaceremain...
Neural Search Architecture Few-shot
2023-11-16 18:38:1016551.29 MB21
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Demonstration-Conditioned Reinforcement Learning for Few-shot Imitation
Demonstration-ConditionedReinforcementLearningforFew-shotImitationThéoCachet1JulienPerez1ChristopherR.Dance1AbstractFigure1.TheproposedDCRLalgorithm,whichusesbothexpertdemonstrationsandenvironment...
Learning for Reinforcement Imitation Few-shot
2023-11-16 18:31:02545883.18 KB14
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Calibrate Before Use Improving Few-shot Performance of Language Models
CalibrateBeforeUse:ImprovingFew-shotPerformanceofLanguageModelsTonyZ.Zhao1EricWallace1ShiFeng2DanKlein1SameerSingh3AbstractInput:Subparacting.Sentiment:NegativeGPT-3canperformnumeroustaskswhenpro-I...
of Use Improving Performance Few-shot
2023-11-16 18:11:1712462.49 MB2
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Addressing Catastrophic Forgetting in Few-shot Problems
AddressingCatastrophicForgettinginFew-shotProblemsPauchingYap1HippolytRitter1DavidBarber12Abstractclassesiscalledthemeta-trainingstage,andtheevaluationprocessthatreportstheFew-shotperformanceonthen...
in Problems Addressing Catastrophic Forgetting
2023-11-16 18:00:265293.78 MB8
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A large-scale benchmark for Few-shot program induction and synthesis
Alarge-scalebenchmarkforFew-shotprograminductionandsynthesisFerranAlet1JavierLopez-Contreras1JamesKoppel1MaxwellNye1ArmandoSolar-Lezama1TomásLozano-Pérez1LesliePackKaelbling1JoshuaB.Tenenbaum1Abs...
for and Large-Scale Program Few-shot
2023-11-16 17:52:041802827.47 KB7
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Unraveling Meta-Learning Understanding Feature Representations for Few-shot Tasks
UnravelingMeta-Learning:UnderstandingFeatureRepresentationsforFew-shotTasksMicahGoldblum1StevenReich1LiamFowl1RenkunNi1ValeriiaCherepanova1TomGoldstein1Abstractdownentirelywhenonlyafewdatasamplesar...
for Representations Feature Meta-Learning Understanding
2023-11-14 21:46:5610631.57 MB15
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Laplacian Regularized Few-shot Learning
LaplacianRegularizedFew-shotLearningImtiazMasudZiko1JoseDolz1EricGranger1IsmailBenAyed1AbstractFew-shotlearning(Fei-Feietal.,2006;Milleretal.,2000;Vinyalsetal.,2016)hasemergedasanappealingparadigmW...
Learning Laplacian Regularized Few-shot
2023-11-14 21:44:471065621.45 KB5
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Frustratingly Simple Few-shot Object Detection
FrustratinglySimpleFew-shotObjectDetectionXinWang1ThomasE.Huang2TrevorDarrell1JosephE.Gonzalez1FisherYu1Abstract2017;Gidaris&Komodakis,2018;Wangetal.,2019a)haveexploredtechniquestotransferknowledge...
simple Detection Object Few-shot Frustratingly
2023-11-14 21:44:18645660.01 KB8
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Few-shot Relation Extraction via Bayesian Meta-learning on Task Graphs
Few-shotRelationExtractionviaBayesianMeta-learningonRelationGraphsMengQu12TianyuGao3Louis-PascalA.C.Xhonneux12JianTang145Abstracttomaticallygeneratetrainingdata.Forexample,givenatriplet(Washington,...
on Bayesian via Meta-Learning Few-shot
2023-11-14 21:44:145882.01 MB30
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Few-shot Domain Adaptation by Causal Mechanism Transfer
Few-shotDomainAdaptationbyCausalMechanismTransferTakeshiTeshima12IsseiSato12MasashiSugiyama21AbstractFigure1:Nonparametricgen-erativemodelofnonlinearin-WestudyFew-shotsuperviseddomainadaptationdepe...
by Domain Adaptation Causal Transfer
2023-11-14 21:44:131896933.92 KB16
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Infinite Mixture Prototypes for Few-shot Learning
InﬁniteMixturePrototypesforFew-shotLearningKelseyR.Allen1EvanShelhamer2HanulShin1JoshuaB.Tenenbaum1AbstractTwopopularclassesofnonparametricmethodsarenearestneighbormethodsandprototypicalmethods.Ne...
Learning for Infinite Mixture Prototypes
2023-11-13 14:47:31756348.79 KB3
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