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标签“with”的相关文档，共634条

Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Cluster for Extreme Multi-label Text Classification
PretrainedGeneralizedAutoregressiveModelwithAdaptiveProbabilisticLabelClustersforExtremeMulti-labelTextClassiﬁcationHuiYe1ZhiyuChen1Da-HanWang2BrianD.Davison1Abstracttextfeaturesisbag-of-words(BOW...
Adaptive with Model Probabilistic Generalized
2023-11-14 21:45:569901.53 MB11
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Preference modelling with context-dependent salient features
PreferenceModelingwithContext-DependentSalientFeaturesAmandaBower1LauraBalzano2Abstractmodelsaddressthisissuewithmodelingnoise,ignoringitssystematicnature.Weobserve,asothershavebeforeusWeconsiderth...
with Features Context-Dependent Preference Salient
2023-11-14 21:45:551234623.59 KB9
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Predictive Sampling with Forecasting Autoregressive Models
PredictiveSamplingwithForecastingAutoregressiveModelsAukeWiggers1EmielHoogeboom23AbstractFigure1.Overviewofpredictivesampling.Asequence-so-farofARMsamplesx0,...,xi−1isextendedwithforecastsAutoregr...
Sampling Models with Autoregressive Predictive
2023-11-14 21:45:541736509.74 KB7
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Predicting Choice with Set-Dependent Aggregation
PredictingChoicewithSet-DependentAggregationNirRosenfeld1KojinOshiba1YaronSinger1Abstractofitemss={x(1),...,x(n)},x(i)∈X=Rd,calledthechoiceset,withs∈S⊆2X.Fromthealternativesins,theProvidingusers...
Aggregation with Choice Predicting Set-Dependent
2023-11-14 21:45:548251.13 MB13
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PEGASUS Pre-training with Extracted Gap-sentences for Abstractive Summarization
PEGASUS:Pre-trainingwithExtractedGap-sentencesforAbstractiveSummarizationJingqingZhang1YaoZhao2MohammadSaleh2PeterJ.Liu2AbstractRecentworkpre-trainingTransformerswithFigure1:ThebasearchitectureofPE...
for with Pre-training Abstractive PEGASUS
2023-11-14 21:45:5015722.96 MB17
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Overparameterization hurts worst-group accuracy with spurious correlations
AnInvestigationofWhyOverparameterizationExacerbatesSpuriousCorrelationsShioriSagawa1AditiRaghunathan1PangWeiKoh1PercyLiang1AbstractUnderparameterizedOverparameterizedWestudywhyoverparameterization...
with Spurious Accuracy Overparameterization hurts
2023-11-14 21:45:485773.76 MB19
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Optimizing Dynamic Structures with Bayesian Generative Search
OptimizingDynamicStructureswithBayesianGenerativeSearchMinhHoang1CarlKingsford2Abstractspaceofarchitecturesencompassesneuralnetworkdesignchoicessuchasthenumberofhiddenlayers,dimensionKernelselectio...
Generative with Bayesian Dynamic Search
2023-11-14 21:45:451507752.87 KB22
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Optimizing Black-box Metrics with Adaptive Surrogates
OptimizingBlack-boxMetricswithAdaptiveSurrogatesQijiaJiang1OlaoluwaAdigun2HarikrishnaNarasimhan3MahdiMilaniFard3MayaGupta3Abstractinformationbeusedtoinﬂuencethetrainingloss?Similarexamplesalsoaris...
Adaptive with Optimizing Black-box Metrics
2023-11-14 21:45:441634767.51 KB26
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Optimistic Policy Optimization with Bandit Feedback
OptimisticPolicyOptimizationwithBanditFeedbackYonathanEfroni1LiorShani1AvivRosenberg2ShieMannor1AbstractDuetotheirpopularity,thereisarichliteraturethatpro-videsdifferenttypesoftheoreticalguarantees...
Optimization with Policy Bandit Feedback
2023-11-14 21:45:431195347.2 KB10
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Online Pricing with Offline Data Phase Transition and Inverse Square Law
OnlinePricingwithOfﬂineData:PhaseTransitionandInverseSquareLawJinzhiBu1DavidSimchi-Levi1YunzongXu1Abstractofﬂinehistoricaldataset(basedonhistoricalactions)atthetimethatthelearnerstartsanonlinelea...
Online with Data Phase transition
2023-11-14 21:45:40604471.85 KB27
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Online metric algorithms with untrusted predictions
OnlineMetricAlgorithmswithUntrustedPredictionsAntoniosAntoniadis1ChristianCoester2asdatacenters(Iranietal.,2003;Linetal.,2013),andareMarekElia´sˇ3AdamPolak4BertrandSimon5alsorelatedtotheexpertspr...
Online Algorithms with Metric Predictions
2023-11-14 21:45:391524306.82 KB7
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Online Multi-Kernel Learning with Graph-Structured Feedback
OnlineMulti-KernelLearningwithGraph-StructuredFeedbackPouyaMGhari1YanningShen1Abstractwhilethedata-drivenmulti-kernellearning(MKL)approachismorepowerful,asitlearnstheoptimalkernelfromadic-Multi-ker...
Learning Online with Feedback Graph-structured
2023-11-14 21:45:39930459.24 KB6
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Online Learning with Dependent Stochastic Feedback Graphs
OnlineLearningwithDependentStochasticFeedbackGraphsCorinnaCortes1GiuliaDeSalvo1ClaudioGentile1MehryarMohri1NingshanZhang2AbstractofonlinelearningintroducedbyMannor&Shamir(2011),wherelossobservabili...
Learning Online with Stochastic graphs
2023-11-14 21:45:399203.39 MB15
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Online Learning with Imperfect Hints
OnlineLearningwithImperfectHintsAdityaBhaskara1AshokCutkosky23RaviKumar2ManishPurohit2Abstracthencedesirable.Theframeworkofonlineconvexoptimiza-tionisquitepowerful,general,andhasbeenextensivelyWeco...
Learning Online with Imperfect Hints
2023-11-14 21:45:381885270.39 KB3
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Online Learned Continual Compression with Adaptive Quantization Modules
OnlineLearnedContinualCompressionwithAdaptiveQuantizationModulesLucasCaccia123EugeneBelilovsky42MassimoCaccia425JoellePineau123Abstractetal.,2017;Balle´etal.,2016;Johnstonetal.,2018).Yetitsapplica...
Adaptive Online with Continual Compression
2023-11-14 21:45:3813662.15 MB8
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On Thompson Sampling with Langevin Algorithms
OnThompsonSamplingwithLangevinAlgorithmsEricMazumdar1AldoPacchiano1Yi-AnMa23PeterL.Bartlett14MichaelI.Jordan14Abstractexploitationtradeoffs(Aueretal.,2002;LattimoreandSzepesva´ri,2020),whereinanal...
Sampling Algorithms with on Langevin
2023-11-14 21:45:361201341.36 KB14
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On the Power of Compressed Sensing with Generative Models
OnthePowerofCompressedSensingwithGenerativeModelsAkshayKamath1SushrutKarmalkar1EricPrice1Abstractofthecompressedrepresentationofxthantoitsambientdimensionn.Thegoalofcompressedsensingistolearnastruc...
of with on the Compressed
2023-11-14 21:45:341687381.33 KB28
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On Leveraging Pretrained GANs for Generation with Limited Data
OnLeveragingPretrainedGANsforGenerationwithLimitedDataMiaoyunZhao1YulaiCong1LawrenceCarin1AbstractAlthoughmanypowerfulGANmodelspretrainedonlarge-scaledatasetshavebeenreleased,feweffortshavebeenRece...
for Generation with on GANs
2023-11-14 21:45:305494.8 MB28
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On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
OnDifferentiallyPrivateStochasticConvexOptimizationwithHeavy-tailedDataDiWang12HanshenXiao3SriniDevadas3JinhuiXu1Abstractarethemostfundamentalproblemsinsupervisedlearningandstatistics.Theyﬁndnumer...
Optimization with on Stochastic Convex
2023-11-14 21:45:281156360.77 KB2
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Off-Policy Actor-Critic with Shared Experience Replay
Off-PolicyActor-CriticwithSharedExperienceReplaySimonSchmitt1MatteoHessel1KarenSimonyan1AbstractTable1.Comparisonofmodel-freestate-of-the-artagentson57Atarigamesinthestandardregime:Herenoexperience...
with Off-Policy Experience Replay Actor-Critic
2023-11-14 21:45:26831687.23 KB22
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