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标签“with”的相关文档，共634条

Normalized Loss Functions for Deep Learning with Noisy Labels
NormalizedLossFunctionsforDeepLearningwithNoisyLabelsXingjunMa1HanxunHuang1YisenWang2SimoneRomanoSarahErfani1JamesBailey1Abstract2018;Hanetal.,2018b);and4)robustlossfunctionsthatareinherentlytolera...
Learning for with Deep Functions
2023-11-14 21:45:2511685.31 MB9
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Non-Stationary Bandits with Intermediate Observations
Non-StationaryDelayedBanditswithIntermediateObservationsClaireVernade1Andra´sGyo¨rgy1TimothyA.Mann1AbstractDelayedfeedbackinonlinelearninghavebeenaddressedbothinthefullinformationsetting(see,e.g....
with Bandits Observations Intermediate Non-stationary
2023-11-14 21:45:2518684.77 MB10
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Non-autoregressive Translation with Disentangled Context Transformer
Non-autoregressiveMachineTranslationwithDisentangledContextTransformerJungoKasai1JamesCross2MarjanGhazvininejad2JiataoGu2Abstractconditionalindependenceandpreventsthemodelfromprop-erlycapturingtheh...
with Translation Disentangled Transformer Context
2023-11-14 21:45:24519561.35 KB24
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Neural Topic Modeling with Continual Lifelong Learning
NeuralTopicModelingwithContinualLifelongLearningPankajGupta1YatinChaudhary12ThomasRunkler1HinrichSchu¨tze2Abstract(productline)(operatingKnowledgeBaseKnowledgeipad,apple,system)ofTopicsAccumulatio...
Learning Neural with Continual Modeling
2023-11-14 21:45:231438825.34 KB19
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Neural Network Control Policy Verification with Persistent Adversarial Perturbation
NeuralNetworkControlPolicyVeriﬁcationwithPersistentAdversarialPerturbationsYuh-ShyangWang1Tsui-WeiWeng2LucaDaniel2Abstractneuralnetworksaresurprisinglyvulnerabletoadversarialexamplesandattacks(Hua...
Neural with Persistent Policy Network
2023-11-14 21:45:211483881.88 KB13
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Neural Contextual Bandits with UCB-based Exploration
NeuralContextualBanditswithUCB-basedExplorationDongruoZhou1LihongLi2QuanquanGu1Abstracttheexpectedrewardateachroundislinearinthefeaturevector.Whilesuccessfulinboththeoryandpractice(LiWestudythestoc...
Neural with Contextual Exploration Bandits
2023-11-14 21:45:216505.38 MB2
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Near-linear time Gaussian process optimization with adaptive batching and resparsification
Near-lineartimeGaussianprocessoptimizationwithadaptivebatchingandresparsiﬁcationDanieleCalandriello1LuigiCarratino2AlessandroLazaric3MichalValko4LorenzoRosasco256Abstractsequentiallearningproblem,...
Adaptive Optimization with Gaussian Process
2023-11-14 21:45:1917682.21 MB22
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Multi-Task Learning with User Preferences Gradient Descent with Controlled Ascent in Pareto Optimization
Multi-TaskLearningwithUserPreferences:GradientDescentwithControlledAscentinParetoOptimizationDebabrataMahapatra1VaibhavRajan2Abstract2019a),naturallanguageprocessing(Liuetal.,2019b)andbioinformatic...
Learning with Gradient Descent Preferences
2023-11-14 21:45:181620872.7 KB8
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Multinomial Logit Bandit with Low Switching Cost
MultinomialLogitBanditwithLowSwitchingCostKefanDong1YingkaiLi2QinZhang3YuanZhou4Abstractthatno-purchaseisthemostfrequentchoice,whichisverynaturalinretailing.W.l.o.g.,weassumev0=1,andvi1Westudymul...
with low Bandit Multinomial switching
2023-11-14 21:45:161390605.9 KB3
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Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
Multi-ﬁdelityBayesianOptimizationwithMax-valueEntropySearchanditsParallelizationShionTakeno12HitoshiFukuoka3YuhkiTsukada34ToshiyukiKoyama3MotokiShiga245IchiroTakeuchi12MasayukiKarasuyama146Abstrac...
Optimization with Bayesian Search Max-value
2023-11-14 21:45:1614842.12 MB17
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Model-Based Reinforcement Learning with Value-Targeted Regression
Model-BasedReinforcementLearningwithValue-TargetedRegressionAlexAyoub1ZeyuJia2CsabaSzepesva´ri13MengdiWang43LinF.Yang5Abstractmains,suchasgames,roboticsandscience,haswitnessedphenomenalempiricalad...
Learning with Reinforcement Regression Model-Based
2023-11-14 21:45:127175.92 MB23
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Model Fusion with Kullback--Leibler Divergence
ModelFusionwithKullback–LeiblerDivergenceSebastianClaici12MikhailYurochkin23SoumyaGhosh23JustinSolomon12Abstract(a)BayesianneuralnetworktrainedonbiaseddataWeproposeamethodtofuseposteriordistribu-t...
with Model Divergence Fusion Kullback--Leibler
2023-11-14 21:45:121189895.45 KB2
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Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Minimax-OptimalOff-PolicyEvaluationwithLinearFunctionApproximationYaqiDuan1ZeyuJia2MengdiWang34Abstractvalue)tobeearnedbyanewpolicybasedonloggedhistory.Thispaperstudiesthestatisticaltheoryofoff-Int...
Approximation with Off-Policy Evaluation Linear
2023-11-14 21:45:1113212.5 MB14
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Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
MinimallyDistortedAdversarialExampleswithaFastAdaptiveBoundaryAttackFrancescoCroce1MatthiasHein1Abstracttherobustnessisevaluatedapproximatingthesolutionoftheminimaladversarialperturbationproblemthr...
Adaptive Adversarial with Fast Examples
2023-11-14 21:45:1010981.47 MB13
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Meta-Learning with Shared Amortized Variational Inference
Meta-LearningwithSharedAmortizedVariationalInferenceEkaterinaIakovleva1JakobVerbeek2KarteekAlahari1Abstract2016),nearestclass-meanapproaches(Dvorniketal.,2019;Mensinketal.,2012;Renetal.,2018;Snelle...
Inference Variational with Meta-Learning Shared
2023-11-14 21:45:1016084.4 MB18
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Meta-learning with Stochastic Linear Bandits
Meta-learningwithStochasticLinearBanditsLeonardoCella12AlessandroLazaric3MassimilianoPontil2AbstractsolidatedMABsettinginwhicheacharmisassociatedwithavectoroffeaturesandthearmpayofffunctionismod-We...
with Stochastic Bandits Linear Meta-Learning
2023-11-14 21:45:09527788.91 KB8
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MetaFun Meta-Learning with Iterative Functional Updates
MetaFun:Meta-LearningwithIterativeFunctionalUpdatesJinXu1Jean-FrancoisTon1HyunjikKim2AdamR.Kosiorek13YeeWhyeTeh1AbstractTheobjectiveofmeta-learningisthentolearntheencoderandthedecodersuchthatthepro...
with Updates Iterative Meta-Learning Functional
2023-11-14 21:45:0918171.53 MB22
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Margin-aware Adversarial Domain Adaptation with Optimal Transport
Margin-awareAdversarialDomainAdaptationwithOptimalTransportSoﬁenDhouib1IevgenRedko2CaroleLartizien1Abstract2010),tonameafew.Whilemanuallabelingmaybecon-sideredasatractablesolution,suchanapproachis...
Adversarial with Domain Adaptation Optimal
2023-11-14 21:45:071765683.57 KB10
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Logarithmic Regret for Online Control with Adversarial Noise
LogarithmicRegretforAdversarialOnlineControlDylanJ.Foster1MaxSimchowitz2Abstractbyawell-behavedstochasticprocessordrivenbyaworst-caseprocesstowhichthelearnermustremainrobustinWeintroduceanewalgorit...
for Online Adversarial with Regret
2023-11-14 21:45:0411113.14 MB30
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Logistic Regression for Massive Data with Rare Events
LogisticRegressionforMassiveDatawithRareEventsHaiYingWang1Abstractapplications.However,severalimportantquestionsremainunansweredthatareessentialforvaliddataanalysisandThispaperstudiesbinarylogistic...
for with Regression Data Massive
2023-11-14 21:45:041562337.51 KB20
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