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标签“in”的相关文档，共437条

Frequency Bias in Neural Networks for input of Non-Uniform Density
FrequencyBiasinNeuralNetworksforinputofNon-UniformDensityRonenBasri1MeiravGalun1AmnonGeifman1DavidJacobs2YoniKasten1ShiraKritchman1AbstractEpoch=3Epoch=100Recentworkshavepartlyattributedthegenerali...
Neural for Networks in Input
2023-11-14 21:44:1614252.59 MB8
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Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games
Finite-TimeLast-IterateConvergenceforMulti-AgentLearninginGamesTianyiLin1ZhengyuanZhou2PanayotisMertikopoulos3Michael.I.Jordan4Abstractselectingarouteinatrafﬁcnetwork).inthispaper,weconsidermulti-...
Learning for Convergence in Multi-Agent
2023-11-14 21:44:15987346.26 KB8
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Finite-Time Convergence in Continuous-Time Optimization
Finite-TimeConvergenceinContinuous-TimeOptimizationOrlandoRomero1MouhacineBenosman2AbstractsmoothBanachspaceX(typicallyaEuclideanorotherwiseﬁnite-dimensionalrealvectorspaceinnonlinearprogram-inthi...
Optimization Convergence in Continuous-Time Finite-Time
2023-11-14 21:44:159131.43 MB22
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Fast computation of Nash Equilibria in Imperfect information Games
FastComputationofNashEquilibriainImperfectinformationGamesRemiMunos1JulienPerolat1Jean-BaptisteLespiau1MarkRowland1BartDeVylder1MarcLanctot1FinbarrTimbers1DanielHennes1ShayeganOmidshaﬁei1AudrunasG...
of in Fast Computation Nash
2023-11-14 21:44:111355364.28 KB15
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Extrapolation for Large-batch Training in Deep Learning
ExtrapolationforLarge-batchTraininginDeepLearningTaoLin1LingjingKong1SebastianU.Stich1MartinJaggi1Abstract2017)isusedtoreducethegradientcomputationroundssoastoacceleratethetraining.However,inpracti...
Learning for Deep in Training
2023-11-14 21:44:0812492.25 MB15
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Explaining Groups of Points in Low-Dimensional Representations
ExplainingGroupsofPointsinLow-DimensionalRepresentationsGregoryPlumb1JonathanTerhorst2SriramSankararaman3AmeetTalwalkar14AbstractFigure1:Arepresentationlearnedforasingle-cellRNAsequencedatasetusing...
of Representations in Points Low-Dimensional
2023-11-14 21:44:078111.6 MB18
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Estimating Model Uncertainty of Neural Network in Sparse information Form
EstimatingModelUncertaintyofNeuralNetworksinSparseinformationFormJongseokLee1MatthiasHumt1JianxiangFeng12RudolphTriebel12Abstractferencewhatlinearmapsareforalgebra.Forexample,oncetheposteriordistri...
of Neural Model in Network
2023-11-14 21:44:047711.15 MB15
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Entropy Minimization in Emergent Languages
EntropyMinimizationinEmergentLanguagesEugeneKharitonov1RahmaChaabouni12DianeBouchacourt1MarcoBaroni13AbstractChevalier-Boisvertetal.,2019).Thepursuitmightalsoprovidecomparativeevidenceabouthowcorep...
in Minimization Entropy Emergent Languages
2023-11-14 21:44:0318932.05 MB24
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Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
EmpiricalStudyoftheBeneﬁtsofOverparameterizationinLearningLatentVariableModelsRares-DariusBuhai1YoniHalpern2YoonKim3AndrejRisteski4DavidSontag1Abstractgoalisfrequentlytoconﬁrmorrejectwhetherapart...
of the in Empirical Study
2023-11-14 21:44:021960901.81 KB9
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Emergence of Separable Manifolds in Deep Language Representations
EmergenceofSeparableManifoldsinDeepLanguageRepresentationsJonathanMamou1HangLe2MiguelADelRio2CoryStephenson1HanlinTang1YoonKim3SueYeonChung24Abstract1.introductionandRelatedWorkDeepneuralnetworks(D...
of Deep in Manifolds Language
2023-11-14 21:44:0218467.44 MB20
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Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation
EfﬁcientOptimisticExplorationinLinear-QuadraticRegulatorsviaLagrangianRelaxationMarcAbeille1AlessandroLazaric2AbstractConﬁdence-basedexploration.Bittantietal.(2006)intro-ducedanadaptivecontrolsys...
Efficient via in Exploration Linear-Quadratic
2023-11-14 21:44:009941.28 MB24
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Efficient Continuous Pareto Exploration in Multi-Task Learning
EffcientContinuousParetoExplorationinMulti-TaskLearningPingchuanMa1TaoDu1WojciechMatusik1Abstractgiverisetoasetofsolutions,knownastheParetoset,withvaryingpreferencesondifferentobjectives.Tasksinmul...
Learning Efficient in Exploration Multi-task
2023-11-14 21:43:587486.5 MB18
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Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
EfﬁcientIdentiﬁcationinLinearStructuralCausalModelswithAuxiliaryCutsetsDanielKumor1CarlosCinelli2EliasBareinboim3Abstractysisintheﬁrstplace.Forinstance,ahealthscientistmaybeinterestedinknowingth...
Structural Efficient Identification Models in
2023-11-14 21:43:581320383.91 KB21
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Duality in RKHSs with infinite Dimensional Outputs Application to Robust Losses
DualityinRKHSswithinﬁniteDimensionalOutputs:ApplicationtoRobustLossesPierreLaforgue1AlexLambert1LucBrogat-Motte1Florenced’Alche´-Buc1Abstractandvariantscopewithdiscretestructures(Tsochantaridise...
with Infinite in Dimensional Duality
2023-11-14 21:43:5611483.03 MB12
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Double Trouble in Double Descent Bias and Variance(s) in the Lazy Regime
DoubleTroubleinDoubleDescent:BiasandVariance(s)intheLazyRegimeSte´phaned’Ascoli1MariaReﬁnetti1GiulioBiroli1FlorentKrzakala1Abstractrecognition(Hintonetal.,2012),andautomatictransla-tion(Sutskeve...
and Descent Variance in Bias
2023-11-14 21:43:5419251.08 MB12
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Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
DistributionallyRobustPolicyEvaluationandLearninginOfﬂineContextualBanditsNianSi1FanZhang1ZhengyuanZhou2JoseBlanchet1Abstractnomenonintheseapplications,canbeintelligentlyexploitedtoachievebetterou...
Learning and Robust in Evaluation
2023-11-14 21:43:518461.35 MB3
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Disentangling Trainability and Generalization in Deep Neural Networks
DisentanglingTrainabilityandGeneralizationinDeepNeuralNetworksLechaoXiao1JeffreyPennington1SamuelS.Schoenholz1Abstract2019),andplayinggames(Silveretal.,2018).Histori-cally,therampantsuccessofdeeple...
Neural and Deep in generalization
2023-11-14 21:43:511318653.28 KB20
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Discriminative Jackknife Quantifying Uncertainty in Deep Learning via Higher-Order influence Functions
DiscriminativeJackknife:QuantifyingUncertaintyinDeepLearningviaHigher-OrderinﬂuenceFunctionsAhmedM.Alaa1MihaelavanderSchaar12Abstractsupport(Alaa&vanderSchaar,2017),autonomousve-hicles,andﬁnancia...
Learning Deep in Uncertainty Discriminative
2023-11-14 21:43:5015742.15 MB12
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Discount Factor as a Regularizer in Reinforcement Learning
DiscountFactorasaRegularizerinReinforcementLearningRonAmit1RonMeir1KamilCiosek2Abstractetal.,2019;Zhaoetal.,2019).inparticular,generalizationiscriticalforsuccessfullydeployingRLagentsthatwereSpecif...
Learning Reinforcement in as Regularizer
2023-11-14 21:43:505351.16 MB30
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Curvature-corrected learning dynamics in deep neural networks
Curvature-correctedlearningdynamicsindeepneuralnetworksDongsungHuh1AbstractWhilerecentadvancesinapproximateNGDmethods(e.g.K-FAC)havedramaticallyimprovedthecomputationalef-Deepneuralnetworksexhibitc...
Learning Neural Networks Deep in
2023-11-14 21:43:4119552.1 MB6
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