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标签“Representations”的相关文档，共61条

Size-Invariant Graph Representations for Graph Classification Extrapolations
Size-InvariantGraphRepresentationsforGraphClassiﬁcationExtrapolationsBeatriceBevilacqua1YangzeZhou2BrunoRibeiro1AbstractTrainGraphonTestEnvironmentModelEnvironmentIngeneral,graphrepresentationlear...
for Representations Graph Classification Size-Invariant
2023-11-16 19:41:49549510.85 KB10
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Re-understanding Finite-State Representations of Recurrent Policy Networks
Re-understandingFinite-StateRepresentationsofRecurrentPolicyNetworksMohamadH.Danesh1AnuragKoul1AlanFern1SaeedKhorram1Abstracttivehumaninterpretationoftheunderlying“strategicrole"oftheattended-toel...
of Representations Networks Recurrent Policy
2023-11-16 19:41:335771.68 MB6
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Reinforcement Learning with Prototypical Representations
ReinforcementLearningwithPrototypicalRepresentationsDenisYarats12RobFergus1AlessandroLazaric2LerrelPinto1Abstractfromrewardsaloneissampleinefﬁcientandleadstopoorperformance.Priorwork(Srinivasetal....
Learning Representations with Reinforcement Prototypical
2023-11-16 19:41:3111422.51 MB7
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Provable Meta-Learning of Linear Representations
ProvableMeta-LearningofLinearRepresentationsNileshTripuraneni1ChiJin2MichaelI.Jordan1Abstractrangingfromdeepreinforcementlearning(Baevskietal.,2019)tonaturallanguageprocessing(Ando&Zhang,2005;Meta-...
of Representations Linear Meta-Learning Provable
2023-11-16 19:28:33943556.28 KB30
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On Linear Identifiability of Learned Representations
OnLinearIdentiﬁabilityofLearnedRepresentationsGeoffreyRoeder1LukeMetz2DiederikP.Kingma2Abstractetal.,2018;Devlinetal.,2018),andsequentialdecisionmaking(Oordetal.,2018).Identiﬁabilityisadesirablep...
of Representations on Linear Learned
2023-11-16 19:15:43837969.85 KB16
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On Disentangled Representations Learned from Correlated Data
OnDisentangledRepresentationsLearnedfromCorrelatedDataFrederikTräuble1ElliotCreager2NikiKilbertus3FrancescoLocatello4AndreaDittadi5AnirudhGoyal6BernhardSchölkopf1StefanBauer17AbstractFigure1.Whil...
from Representations on Data Learned
2023-11-16 19:15:4216632.32 MB3
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OmniNet Omnidirectional Representations from Transformers
OmniNet:OmnidirectionalRepresentationsfromTransformersYiTay1MostafaDehghani2VamsiAribandi13JaiGupta1PhilipPham1ZhenQin1DaraBahri1Da-ChengJuan1DonaldMetzler1Abstractkeydeﬁningcharacteristicsinthese...
from Representations Omnidirectional Transformers OmniNet
2023-11-16 19:15:415682.22 MB1
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Neural Feature Matching in Implicit 3D Representations
NeuralFeatureMatchinginImplicit3DRepresentationsYunluChen1BasuraFernando2HakanBilen3ThomasMensink41EfstratiosGavves1AbstractsourceappearancefeaturefittingmatchingRecently,neuralimplicitfunctionshav...
3D Neural Representations Feature Matching
2023-11-16 19:15:3514198.62 MB30
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Multi-Task Reinforcement Learning with Context-based Representations
Multi-TaskReinforcementLearningwithContext-basedRepresentationsShagunSodhani1AmyZhang123JoellePineau123Abstractreinforcementlearning(MTRL)isapromisingapproachtotraineffectivereal-worldagents(Tanaka...
Learning Representations with Reinforcement Multi-task
2023-11-16 19:15:319551.64 MB16
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Leveraging Good Representations in Linear Contextual Bandits
LeveragingGoodRepresentationsinLinearContextualBanditsMatteoPapini†1AndreaTirinzoni1MarcelloRestelli1AlessandroLazaric2MatteoPirotta2Abstractrangeofdomains,includingrecommendationsystems,on-Thelin...
Representations in Contextual Good Bandits
2023-11-16 19:05:061242570.23 KB13
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Learning Representations by Humans, for Humans
LearningRepresentationsbyHumans,forHumansSophieHilgard1NirRosenfeld2MahzarinBanaji3JackCao3DavidC.Parkes1Abstractetal.,2017)andwhereusershaveexternalinformationorwanttoexerciseagencyandusetheirownj...
Learning for Representations by Humans
2023-11-16 19:05:0315291.91 MB29
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Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks
LearningNodeRepresentationsUsingStationaryFlowPredictiononLargePaymentandCashTransactionNetworksCiwanCeylan12SallaFranze´n2FlorianT.Pokorny1AbstractannualGDP(UnitedNationsofﬁceondrugsandcrime,201...
Learning Representations Using Node Prediction
2023-11-16 19:05:0213221.51 MB26
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Learning disentangled Representations via product manifold projection
LearningdisentangledRepresentationsviaproductmanifoldprojectionMarcoFumero1LucaCosmo12SimoneMelzi1EmanueleRodola`1AbstractthisresearchﬁeldisdisentangledRepresentations,whichad-vocatesthatarepresen...
Learning Representations via Projection Manifold
2023-11-16 19:04:5917713.61 MB19
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Learning de-identified Representations of prosody from raw audio
LearningDe-identiﬁedRepresentationsofProsodyfromRawAudioJackWeston1RaphaëlLenain1UdeepaMeepegama1EmilFristed1AbstractThephoneticproblemhasautomaticspeechrecognition(ASR)asitsobvioususe-case.Inrec...
Learning of from Representations Prosody
2023-11-16 19:04:591893878.26 KB8
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Inverse Decision Modeling Learning Interpretable Representations of Behavior
InverseDecisionModeling:LearningInterpretableRepresentationsofBehaviorDanielJarrett1AlihanHüyük1MihaelavanderSchaar12AbstractConsiderthe“lifecycle”ofdecisionanalysis[9]intherealworld.First,norm...
Learning of Representations Decision Inverse
2023-11-16 18:47:058894.44 MB28
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GeomCA Geometric Evaluation of Data Representations
GeomCA:GeometricEvaluationofDataRepresentationsPetraPoklukar1AnastasiaVarava1DanicaKragic1Abstractlearningandrobotics,usefulnessofRepresentationsisevalu-atedontheperformanceofthepolicy(Ghadirzadehe...
of Representations Data Evaluation Geometric
2023-11-16 18:46:4616042.69 MB14
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Generating images with sparse Representations
GeneratingimageswithsparseRepresentationsCharlieNash1JacobMenick1SanderDieleman1PeterBattaglia1AbstractFigure1.Imagesoftenhavesparsestructure,withsalientcontentdistributedunevenlyacrosslocations.Ou...
Representations Sparse with Images Generating
2023-11-16 18:46:4519106.87 MB12
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Exploiting Shared Representations for Personalized Federated Learning
ExploitingSharedRepresentationsforPersonalizedFederatedLearningLiamCollins1HamedHassani2AryanMokhtari1SanjayShakkottai1Abstracteffectivemodelsforeachclientbyleveragingthelocalcom-putationalpower,me...
Learning for Representations Exploiting Shared
2023-11-16 18:38:048273.61 MB9
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An Identifiable Double VAE For Disentangled Representations
AnIdentiﬁableDoubleVAEForDisentangledRepresentationsGrazianoMita12MaurizioFilippone1PietroMichiardi1Abstractz1Alargepartoftheliteratureonlearningdisen-z2tangledRepresentationsfocusesonvariationala...
for Representations An Disentangled Double
2023-11-16 18:00:311144386.14 KB11
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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 21:46:5610611.57 MB15
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