"to"的相关文档 - 文库宝

开通VIP限时优惠

|

登录 | 注册

标签“to”的相关文档，共202条

Learning to Combine top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules
LearningtoCombinetop-DownandBottom-UpSignalsinRecurrentNeuralNetworkswithAttentionoverModulesSarthakMittal1AlexLamb2AnirudhGoyal2VikramVoleti12MurrayShanahan3GuillaumeLajoie12MichaelMozer4YoshuaBen...
Learning and to Signals Combine
2023-11-14 21:44:581957656.07 KB23
下载文档
Learning to Encode Position for Transformer with Continuous Dynamical Model
LearningtoEncodePositionforTransformerwithContinuousDynamicalModelXuanqingLiu1Hsiang-FuYu2InderjitS.Dhillon32Cho-JuiHsieh1Abstract1.IntroductionWeintroduceanewwayoflearningtoencodeTransformerbasedm...
Learning for with to Transformer
2023-11-14 21:44:581288811.48 KB10
下载文档
Learning to Branch for Multi-Task Learning
LearningtoBranchforMulti-TaskLearningPengshengGuo1Chen-YuLee1DanielUlbricht1Abstractpreferssomehypothesesoverotherhypotheses.Fromthepointofviewofanysingletask,theothertasksserveasTrainingmultipleta...
Learning for to Multi-task Branch
2023-11-14 21:44:576373.52 MB22
下载文档
Involutive MCMC One Way to Derive Them All
InvolutiveMCMC:aUnifyingFrameworkKirillNeklyudov12MaxWelling34EvgeniiEgorov5DmitryVetrov12AbstractName&CitationAppendixMetropolis-Hastings(Hastings,1970)B.1MarkovChainMonteCarlo(MCMC)isacompu-Mixtu...
to MCMC One Them Involutive
2023-11-14 21:44:441719595.86 KB26
下载文档
Interpretations are Useful Penalizing Explanations to Align Neural Networks with Prior Knowledge
InterpretationsareUseful:PenalizingExplanationstoAlignNeuralNetworkswithPriorKnowledgeLauraRieger1ChandanSingh2W.JamesMurdoch3BinYu23Abstractimproveamodel.ForanexplanationofadeeplearningmodeltoPred...
to Are Align Explanations Interpretations
2023-11-14 21:44:4219661.02 MB13
下载文档
Hypernetwork approach to generating point clouds
HypernetworkApproachtoGeneratingPointCloudsPrzemysławSpurek1SebastianWinczowski1JacekTabor1MaciejZamorski23MaciejZieba23tomaszTrzcin´ski43AbstractFigure1.MeshrepresentationsgeneratedbyourHyperClo...
to Approach Point Generating Hypernetwork
2023-11-14 21:44:3210259.49 MB27
下载文档
How to Train Your Neural ODE the World of Jacobian and Kinetic Regularization
HowtoTrainYourNeuralODE:theWorldofJacobianandKineticRegularizationChrisFinlay1Jo¨rn-HenrikJacobsen2LevonNurbekyan3AdamMOberman1Abstract(a)Optimaltransportmap(b)genericﬂowTrainingneuralODEsonlarge...
Neural the to How Your
2023-11-14 21:44:3111781.57 MB16
下载文档
How to Solve Fair k-Center in Massive Data Models
HowtoSolveFairk-CenterinMassiveDataModelsAshishChiplunkar1SagarKale2SivaramakrishnanNatarajanRamamoorthy3Abstractitedbyalgorithmsthemselves.Currentlyusedalgorithmsfordatasummarizationhavebeenshownt...
in to How Massive Solve
2023-11-14 21:44:311759815.74 KB18
下载文档
Graph-based Nearest Neighbor Search From Practice to Theory
Graph-basedNearestNeighborSearch:FromPracticetoTheoryLiudmilaProkhorenkova123AleksandrShekhovtsov13Abstract1975;Meiser,1993).Inparticular,thealgorithmsbasedonrecursivepartitionsofthespace,likek-dth...
from to Search Graph-based Nearest
2023-11-14 21:44:278141.24 MB26
下载文档
Goal-Aware Prediction Learning to Model What Matters
Goal-AwarePrediction:LearningtoModelWhatMattersSurajNair1SilvioSavarese1ChelseaFinn1Abstractheavysupervisionistoleveragedatathattheagentcancollectautonomouslywithoutrewardsorlabels,termedLearneddyn...
Learning Model to Prediction Matters
2023-11-14 21:44:2417363.44 MB7
下载文档
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
GeneralizingConvolutionalNeuralNetworksforEquivariancetoLieGroupsonArbitraryContinuousDataMarcFinzi1SamuelStanton1PavelIzmailov1AndrewGordonWilson1AbstractFigure1.Manymodalitiesofspatialdatadonotli...
Neural for Networks Convolutional to
2023-11-14 21:44:221366864.87 KB27
下载文档
Generalization to New Actions in Reinforcement Learning
GeneralizationtoNewActionsinReinforcementLearningAyushJain1AndrewSzot1JosephJ.Lim1AbstractActionAfundamentaltraitofintelligenceistheabil-GoalGoalitytoachievegoalsinthefaceofnovelcircum-stances,such...
Learning Reinforcement in to generalization
2023-11-14 21:44:2117037.24 MB12
下载文档
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
FundamentalTradeoffsbetweenInvarianceandSensitivitytoAdversarialPerturbationsFlorianTramèr1JensBehrmann2NicholasCarlini3NicolasPapernot3Jörn-HenrikJacobsen4AbstractAdversarialexamplesarecommonlyf...
and to Tradeoffs Sensitivity Invariance
2023-11-14 21:44:2017441.67 MB29
下载文档
From Sets to Multisets Provable Variational Inference for Probabilistic Integer Submodular Models
FromSetstoMultisets:ProvableVariationalInferenceforProbabilisticIntegerSubmodularModelsAytuncSahin1YataoBian2JoachimM.Buhmann1AndreasKrause1Abstracttionperspective.Usingthecelebratedgreedyalgorithm...
from Inference Variational to Provable
2023-11-14 21:44:191183714.03 KB6
下载文档
FR-Train A mutual information-based approach to fair and robust training
FR-Train:AMutualInformation-BasedApproachtoFairandRobustTrainingYujiRoh1KangwookLee2StevenEuijongWhang1ChanghoSuh1Abstracttomersbasedonsensitiveattributesincludingage,sex,orreligion.Inaddition,asap...
and to Approach Fair Mutual
2023-11-14 21:44:18587808.58 KB5
下载文档
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
FromPACtoInstance-OptimalSampleComplexityinthePlackett-LuceModelAadirupaSaha1AdityaGopalan1Abstractetal.,2013;Radlinskietal.,2008),crowdsourcedranking(Chenetal.,2013),tournamentdesign(Graepel&Herbr...
from Complexity in to Sample
2023-11-14 21:44:181267631.58 KB14
下载文档
From Importance Sampling to Doubly Robust Policy Gradient
FromImportanceSamplingtoDoublyRobustPolicyGradientJiaweiHuang1NanJiang1AbstractSummaryofthePaperWeprovideasimpleandpositiveanswertotheabovequestionintheepisodicRLsetting.InWeshowthaton-policypolicy...
from Sampling Robust Policy to
2023-11-14 21:44:18973658.1 KB14
下载文档
From Local SGD to Local Fixed Point Methods for Federated Learning
FromLocalSGDtoLocalFixed-PointMethodsforFederatedLearningGrigoryMalinovsky1DmitryKovalev2ElnurGasanov2LaurentCondat2PeterRichtárik2Abstractoneplaceistocommunicate,tokeepmovingtowardsthesolutionoft...
from Methods Local to Point
2023-11-14 21:44:17861888.68 KB19
下载文档
From ImageNet to Image Classification Contextualizing Progress on Benchmarks
FromImageNettoImageClassiﬁcation:ContextualizingProgressonBenchmarksDimitrisTsipras1ShibaniSanturkar1LoganEngstrom1AndrewIlyas1AleksanderMa˛dry1Abstract(a)missile(b)stage(c)monasteryBuildingrichm...
from Image Classification to Progress
2023-11-14 21:44:1717622.55 MB21
下载文档
From Chaos to Order Symmetry and Conservation Laws in Game Dynamics
FromChaostoOrder:SymmetryandConservationLawsinGameDynamicsSaiGaneshNagarajan1DavidBalduzzi2GeorgiosPiliouras1Abstractassumptionisnotalwaysvalidinpractice.Indeed,innu-merouscasesofmulti-agentcompeti...
from and to Order Symmetry
2023-11-14 21:44:177556.06 MB11
下载文档

首页上页 3 4 5 6 7 下页尾页

确认删除?

VIP会员服务
限时5折优惠