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标签“with”的相关文档，共634条

When Does Data Augmentation Help with Membership Inference Attacks
WhenDoesDataAugmentationHelpwithMembershipInferenceAttacks?YigitcanKaya1TudorDumitras,1Abstractetal.,2018;Shokrietal.,2017).Inparticular,thisenablesmembershipinferenceattacks(MIAs)toﬁndoutwhetherD...
with Data Membership When Does
2023-11-16 19:41:279771.3 MB7
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Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint
RandomizedAlgorithmsforSubmodularFunctionMaximizationwithak-SystemConstraintShuangCui1KaiHan1TianshuaiZhu1JingTang2BenweiWu1HeHuang3Abstractsourcing(Singlaetal.,2016;Hanetal.,2018a),cluster-ing(Gom...
for Submodular Maximization Algorithms with
2023-11-16 19:28:38600394.43 KB12
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Quantum algorithms for reinforcement learning with a generative model
QuantumAlgorithmsforReinforcementLearningwithaGenerativeModelDaochenWang1AarthiSundaram2RobinKothari2AshishKapoor3MartinRoetteler2Abstractfasteralgorithmsforcertaintaskslikesearchandfactor-ing(Grov...
Learning for Generative Algorithms with
2023-11-16 19:28:371536405.27 KB14
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PsiPhi-Learning Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
PsiPhi-Learning:ReinforcementLearningwithDemonstrationsusingSuccessorFeaturesandInverseTemporalDifferenceLearningAngelosFilos1ClareLyle1YarinGal1SergeyLevine2NatashaJaques23GregoryFarquhar4Abstract...
Learning Using with Reinforcement Demonstrations
2023-11-16 19:28:359534.23 MB7
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Proximal Causal Learning with Kernels Two-Stage Estimation and Moment Restriction
ProximalCausalLearningwithKernels:Two-StageEstimationandMomentRestrictionAfsanehMastouri1YuchenZhu1LimorGultchin23AnnaKorba4RicardoSilva1MattJ.Kusner1ArthurGretton†1KrikamolMuandet†5AbstractGoalA...
Learning with Estimation Proximal Causal
2023-11-16 19:28:358861.16 MB6
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Provably Correct Optimization and Exploration with Non-linear Policies
ProvablyCorrectOptimizationandExplorationwithNon-linearPoliciesFeiFeng1WotaoYin1AlekhAgarwal2LinYang3Abstractrer&Geist,2014;Geistetal.,2019;Abbasi-Yadkorietal.,2019;Agarwaletal.,2020c;Bhandari&Russ...
Optimization and with Exploration Provably
2023-11-16 19:28:34539929.05 KB11
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Probabilistic Programs with Stochastic Conditioning
ProbabilisticProgramswithStochasticConditioningDavidTolpin1YuanZhou2TomRainforth3HongseokYang4Abstracttheprobability(massordensity)oftheobservationgiventhedistributionisusedininference(Carpentereta...
with Stochastic Probabilistic Programs Conditioning
2023-11-16 19:28:319131.83 MB10
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Privacy-Preserving Feature Selection with Secure Multiparty Computation
Privacy-PreservingFeatureSelectionwithSecureMultipartyComputationXilingLi1RafaelDowsley2MartineDeCock13Abstractnature.ProtectionofuserdatahasbecomeasigniﬁcantconcerninMLmodeldevelopmentanddeployme...
Feature Selection with Computation Secure
2023-11-16 19:28:31983462.88 KB22
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Privacy-Preserving Video Classification with Convolutional Neural Networks
Privacy-PreservingVideoClassiﬁcationwithConvolutionalNeuralNetworksSikhaPentyala1RafaelDowsley2MartineDeCock13AbstractMeinich-Bacheetal.,2020;Pengetal.,2020;Shahetal.,2019;Wuetal.,2019).Manyexisti...
Neural Networks with Classification Convolutional
2023-11-16 19:28:316421.18 MB20
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Principal Bit Analysis Autoencoding with Schur-Concave Loss
PrincipalBitAnalysis:AutoencodingwithSchur-ConcaveLossSourbhBhadane1AaronB.Wagner1JayadevAcharya1Abstractandgareselectedthroughtrainingfromtheclassoffunc-Weconsideralinearautoencoderinwhichthetions...
with Analysis Principal Loss Bit
2023-11-16 19:28:301575596.05 KB1
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Post-selection inference with HSIC-Lasso
Post-SelectionInferencewithHSIC-LassoTobiasFreidling1BenjaminPoignard23He´ctorClimente-Gonza´lez3MakotoYamada34AbstractThemoststraightforwardremedyissamplesplitting,whichusesonepartofthedataformo...
Inference with Post-Selection HSIC-Lasso
2023-11-16 19:28:301343705.47 KB23
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Poolingformer Long Document Modeling with Pooling Attention
Poolingformer:LongDocumentModelingwithPoolingAttentionHangZhang12YeyunGong3YelongShen4WeishengLi5JianchengLv1NanDuan3WeizhuChen4Abstract(a)Single-levellocalattention(b)Two-levelpoolingattentionInth...
with Modeling Attention Long Pooling
2023-11-16 19:28:291953641.42 KB18
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Policy Caches with Successor Features
PolicyCacheswithSuccessorFeaturesMarkNemecek1RonaldParr1Abstracttaskswhichvaryintheirrewardfunctions,butwherethedynamicsremainthesame.Althoughlimitedinscope,thisTransferinreinforcementlearningisbas...
with Policy Features Successor Caches
2023-11-16 19:28:2919765.25 MB19
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Pointwise Binary Classification with Pairwise Confidence Comparisons
PointwiseBinaryClassiﬁcationwithPairwiseConﬁdenceComparisonsLeiFeng1SenlinShu2NanLu34BoHan54MiaoXu64GangNiu4BoAn7MasashiSugiyama43Abstractweaklysupervisedlearningproblems(Zhou,2018)havebeenextens...
with Binary Classification Comparisons Confidence
2023-11-16 19:28:296023.01 MB4
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Perceiver General Perception with Iterative Attention
Perceiver:GeneralPerceptionwithIterativeAttentionAndrewJaegle1FelixGimeno1AndrewBrock1AndrewZisserman1OriolVinyals1JoaoCarreira1AbstractOneglaringissuewithstrongarchitecturalpriorsisthattheyareofte...
with Iterative General Attention Perception
2023-11-16 19:28:2819962.46 MB10
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PC-MLP Model-based Reinforcement Learning with Policy Cover Guided Exploration
PC-MLP:Model-basedReinforcementLearningwithPolicyCoverGuidedExplorationYudaSong1WenSun2Abstractsuccessrate0.5HandEgg0.4Model-basedReinforcementLearning(RL)isa0.3DeepPC-MPL200000popularlearningparad...
Learning with Reinforcement Cover Model-Based
2023-11-16 19:28:2817373.18 MB23
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PACOH Bayes-Optimal Meta-Learning with PAC-Guarantees
PACOH:Bayes-OptimalMeta-LearningwithPAC-GuaranteesJonasRothfuss1VincentFortuin1MartinJosifoski2AndreasKrause1Abstractmeta-trainingtargettrainingtargettestingMeta-learningcansuccessfullyacquireusefu...
with Meta-Learning PACOH Bayes-Optimal PAC-Guarantees
2023-11-16 19:28:2711101.27 MB28
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Optimizing Black-box Metrics with Iterative Example Weighting
OptimizingBlack-boxMetricswithIterativeExampleWeightingGaurushHiranandani†1JatinMathur1HarikrishnaNarasimhan2MahdiMilaniFard2OluwasanmiKoyejo31Abstractwherethegoalistooptimizeanunknownclassiﬁcati...
with Iterative Optimizing Black-box Metrics
2023-11-16 19:28:266261.18 MB18
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Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
OnlineSubmodularResourceAllocationwithApplicationstoRebalancingSharedMobilitySystemsPierGiuseppeSessa1IlijaBogunovic1AndreasKrause1MaryamKamgarpour1Abstracttion(i.e.,thequalitymeasureofagivenalloca...
Online Submodular with to Applications
2023-11-16 19:28:2413822.54 MB28
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Online Unrelated Machine Load Balancing with Predictions Revisited
OnlineUnrelatedMachineLoadBalancingwithPredictionsRevisitedShiLi1JiayiXian1Abstractlearnedeasily.Aspredictionsareoftenerror-prone,ide-allytheperformanceofthealgorithmshoulddeteriorateWestudytheonli...
Online with Machine Balancing Predictions
2023-11-16 19:28:241071325.55 KB11
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