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标签“the”的相关文档，共346条

Opening the Blackbox Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics
OpeningtheBlackbox:AcceleratingNeuralDifferentialEquationsbyRegularizingInternalSolverHeuristicsAvikPal12YingboMa2ViralShah2ChristopherRackauckas2345AbstractFigure1.TrainingandPredictionPerformance...
Neural the Differential Equations Accelerating
2023-11-16 19:28:25595520.38 KB24
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On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
On-PolicyDeepReinforcementLearningfortheAverage-RewardCriterionYimingZhang1KeithW.Ross21AbstractHaarnojaetal.,2018)orinaqueuingscenario(Tadepalli&Ok,1994;Sutton&Barto,2018),thereisnonaturalsep-Wede...
Learning for Reinforcement Deep the
2023-11-16 19:28:241004805.15 KB2
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Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
RecomposingtheReinforcementLearningBuildingBlockswithHypernetworksEladSaraﬁan1ShaiKeynan1SaritKraus1AbstractResBlockmetavariablePrimarynetLinearBlock256ResBlocktheReinforcementLearning(RL)building...
Learning with Reinforcement the Blocks
2023-11-16 19:28:2319871.17 MB27
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On the Optimality of Batch Policy Optimization Algorithms
OntheOptimalityofBatchPolicyOptimizationAlgorithmsChenjunXiao12YifanWu3TorLittlemore4BoDai2JinchengMei12LihongLi†5CsabaSzepesvari14DaleSchuurmans12Abstractaﬁxeddatasetofpreviouslycollectedexperie...
of Optimization on the Policy
2023-11-16 19:15:478443.58 MB11
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On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
OnthePowerofLocalizedPerceptronforLabel-OptimalLearningofHalfspaceswithAdversarialNoiseJieShen1Abstractthelearnermustpayforeachlabelitwishestoberevealed.thegoalistodesignqueryingstrategiestoavoidle...
of for on the Power
2023-11-16 19:15:471397334.74 KB26
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On the Inherent Regularization Effects of Noise Injection During Training
OntheInherentRegularizationEffectsofNoiseInjectionDuringTrainingOussamaDhifallah1YueM.Lu1Abstract2008)underGaussianinputandperturbationvectors.OuranalysisparticularlyshowsthatGaussiannoiseinjection...
of on the Regularization Noise
2023-11-16 19:15:471963808.45 KB29
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On the Implicit Bias of Initialization Shape Beyond Infinitesimal Mirror Descent
OntheImplicitBiasofInitializationShape:BeyondInﬁnitesimalMirrorDescentShaharAzulay1EdwardMoroshko2MorShpigelNacson2BlakeWoodworth3NathanSrebro3AmirGloberson1DanielSoudry2Abstractparameterizedmodel...
of on the Shape Implicit
2023-11-16 19:15:461926783.44 KB14
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On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
OntheGeneralizationPowerofOverﬁttedTwo-LayerNeuralTangentKernelModelsPeizhongJu1XiaojunLin1NessB.Shroff2AbstractMuthukumaretal.,2019;Juetal.,2020),aninteresting“double-descent”phenomenonhasbeeno...
of on the generalization Power
2023-11-16 19:15:46978532.24 KB12
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On the difficulty of unbiased alpha divergence minimization
OntheDifﬁcultyofUnbiasedAlphaDivergenceMinimizationTomasGeffner1JustinDomke1AbstractExistingalpha-divergenceminimizationalgorithmscanbeclassiﬁedintotwobroadgroups:biasedmethods(Li&Severalapproxim...
of on the Divergence Unbiased
2023-11-16 19:15:466437.43 MB15
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On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
OntheExplicitRoleofInitializationontheConvergenceandImplicitBiasofOverparametrizedLinearNetworksHanchengMin12SalmaTarmoun13Rene´Vidal14EnriqueMallada12Abstractwithoutexplicitregularization,enjoysg...
of on on the Explicit
2023-11-16 19:15:46661520.57 KB9
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On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients
OntheConvergenceofHamiltonianMonteCarlowithStochasticGradientsDifanZou1QuanquanGu1AbstracttionssuchasBayesianinference,reinforcementlearning,andcomputervision.Inthepastdecades,manyMCMCHamiltonianMo...
of on Convergence the Monte
2023-11-16 19:15:4614633.97 MB27
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On Perceptual Lossy Compression the Cost of Perceptual Reconstruction and An Optimal Training Framework
OnPerceptualLossyCompression:theCostofPerceptualReconstructionandAnOptimalTrainingFrameworkZeyuYan1FeiWen1RendongYing1ChaoMa1PeilinLiu1Abstract2017;Santurkaretal.,2018;Shaham&Michaeli,2018).Forloss...
of on the Compression Lossy
2023-11-16 19:15:446842.11 MB14
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On the Random Conjugate Kernel and Neural Tangent Kernel
OntheRandomConjugateKernelandNeuralTangentKernelZhengmianHu1HengHuang1Abstractduetothedifﬁcultiesraisedbythenon-convexityofthelossfunctionandthecomplicationofoptimizationmethods.Weinvestigatethedi...
Neural Kernel and on the
2023-11-16 19:15:251629450.89 KB12
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On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
OntheProofofGlobalConvergenceofGradientDescentforDeepReLUNetworkswithLinearWidthsQuynhNguyen1Abstracttrainingdata,thentheoutputatlayerlisgivenbyWegiveasimpleprooffortheglobalconver-genceofgradien...
of Gradient on Convergence the
2023-11-16 19:15:251764262.2 KB19
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On the Problem of Underranking in Group-Fair Ranking
OntheProblemofUnderrankinginGroup-FairRankingSruthiGorantla1AmitDeshpande2AnandLouis1Abstractethicalconcernsandcanpotentiallycauselong-termeco-nomicandsocietalharmtodemographicsandbusinessesBiasinr...
of on the in Problem
2023-11-16 19:15:2510952.67 MB16
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On the price of explainability for some clustering problems
OnthepriceofexplainabilityforsomeclusteringproblemsEduardoLaber1LucasMurtinho1Abstractdecisiontreewith3leaves.Asanexample,theblueclustercanbeexplainedasthesetofpointsthatsatisfyFeaturethepriceofexp...
of for on the Price
2023-11-16 19:15:251396450.88 KB26
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On the Predictability of Pruning Across Scales
OnthePredictabilityofPruningAcrossScalesJonathanRosenfeld1JonathanFrankle1MichaelCarbin1NirShavit1AbstractAsaﬁrsttry,wecouldattempttoanswerthisquestionusingbruteforce:wecouldpruneeverymemberofanet...
of on the Across Pruning
2023-11-16 19:15:2512081.31 MB12
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Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
LowerBoundsonCross-EntropyLossinthePresenceofTest-timeAdversariesArjunNitinBhagoji1DanielCullina2VikashSehwag3PrateekMittal3Abstractonestablishingfundamentalboundsonlearninginthepres-enceoftest-tim...
on the in bounds Loss
2023-11-16 19:05:11551344.13 KB23
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Mind the Box $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
MindtheBox:l1-APGDforSparseAdversarialAttacksonImageClassiﬁersFrancescoCroce1MatthiasHein1Abstractexistasetofl1-basedattacks(Chenetal.,2018;Modasetal.,2019;Brendeletal.,2019;Croce&Hein,2020a;Wesho...
for Sparse Adversarial the Box
2023-11-16 19:04:5617353.69 MB2
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Mixed Nash Equilibria in the Adversarial Examples Game
MixedNashEquilibriaintheAdversarialExamplesGameLaurentMeunier12MeyerScetbon3RafaelPinot4JamalAtif1YannChevaleyre1AbstractAlongthisline,(Pinotetal.,2020)demonstrated,usinggametheory,thatrandomizedcl...
Adversarial the in Nash Mixed
2023-11-16 19:04:5610251.21 MB9
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