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标签“of”的相关文档，共557条

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 19:15:46660520.57 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 Monotonic Linear Interpolation of Neural Network Parameters
AnalyzingMonotonicLinearInterpolationinNeuralNetworkLossLandscapesJamesLucas12JuhanBae12MichaelR.Zhang12StanislavFort3RichardZemel12RogerGrosse12AbstractFigure1.MonotoniclinearinterpolationforaResN...
of Neural on Network Linear
2023-11-16 19:15:447182.9 MB29
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On Linear Identifiability of Learned Representations
OnLinearIdentiﬁabilityofLearnedRepresentationsGeoffreyRoeder1LukeMetz2DiederikP.Kingma2Abstractetal.,2018;Devlinetal.,2018),andsequentialdecisionmaking(Oordetal.,2018).Identiﬁabilityisadesirablep...
of Representations on Linear Learned
2023-11-16 19:15:43840969.85 KB16
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On Explainability of Graph Neural Networks via Subgraph Explorations
OnExplainabilityofGraphNeuralNetworksviaSubgraphExplorationsHaoYuan1HaiyangYu1JieWang2KangLi3ShuiwangJi1Abstract2018;Wangetal.,2019),andgraphpooling(Yuan&Ji,2020;Gao&Ji,2019;Zhangetal.,2018).Howeve...
of Neural Networks Graph on
2023-11-16 19:15:4313281.22 MB30
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On a Combination of Alternating Minimization and Nesterov’s Momentum
OnaCombinationofAlternatingMinimizationandNesterov’sMomentumSergeyGuminov123PavelDvurechensky423NazariiTupitsa123AlexanderGasnikov123Abstractandsparserecovery(Daubechiesetal.,2010).ThefamousExpect...
of and on Nesterov Minimization
2023-11-16 19:15:4217601.13 MB12
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of Moments and Matching A Game-Theoretic Framework for Closing the Imitation Gap
ofMomentsandMatching:AGame-TheoreticFrameworkforClosingtheImitationGapGokulSwamy1SanjibanChoudhury2J.AndrewBagnell12ZhiweiStevenWu3AbstractE()f()E()f()E()f()Weprovideaunifyingviewofalargefamilyof(a...
of for Matching and Moments
2023-11-16 19:15:40835766.88 KB25
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Nonparametric Decomposition of Sparse Tensors
NonparametricDecompositionofSparseTensorsConorTillinghast1ShandianZhe1Abstractdecompositionisafundamentalframeworkformultiwaydataanalysis.Ingeneral,tensordecompositionaimstoes-Tensordecompositionis...
of Sparse Nonparametric Decomposition Tensors
2023-11-16 19:15:38715609.63 KB3
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Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent
NoiseandFluctuationofFiniteLearningRateStochasticGradientDescentKangqiaoLiu1LiuZiyin1MasahitoUeda123AbstractandTeh,2011).Whenthenoiseisduetominibatchsam-pling,thenoiseiscalledtheSGDnoiseorminibatch...
Learning of and Rate Noise
2023-11-16 19:15:3712061.05 MB3
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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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Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
MaximumMeanDiscrepancyTestisAwareofAdversarialAttacksRuizeGao12FengLiu3JingfengZhang4BoHan1TongliangLiu5GangNiu4MasashiSugiyama46AbstractsupinEq.(1),Grettonetal.(2012b)restrictedFtobeaunitballinthe...
of Test Mean is Maximum
2023-11-16 19:05:1515843.64 MB15
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Lossless Compression of Efficient Private Local Randomizers
LosslessCompressionofEfﬁcientPrivateLocalRandomizersVitalyFeldman1KunalTalwar1AbstractTheconceptofalocalrandomizerdatesbacktotheworkofWarner(1965)whereitwasusedtoencouragetruthful-LocallyDifferent...
of Efficient Local Private Compression
2023-11-16 19:05:10817460.31 KB2
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LogME Practical Assessment of Pre-trained Models for Transfer Learning
LogME:PracticalAssessmentofPre-trainedModelsforTransferLearningKaichaoYou∗1YongLiu∗1JianminWang1MingshengLong1Abstracttrainedwithlarge-scalesuperviseddata(Dengetal.,2009;Russakovskyetal.,2015)and...
of for Models Practical Assessment
2023-11-16 19:05:1011681018.62 KB24
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LIME Learning Inductive Bias for Primitives of Mathematical Reasoning
LIME:LearningInductiveBiasforPrimitivesofMathematicalReasoningYuhuaiWu12MarkusRabe3WendaLi4JimmyBa12RogerGrosse12ChristianSzegedy3Abstractmathematicalreasoning.Attemptstodesignelaboratear-chitectur...
Learning of for Bias Inductive
2023-11-16 19:05:081396289.21 KB9
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Learning de-identified representations of prosody from raw audio
LearningDe-identiﬁedRepresentationsofProsodyfromRawAudioJackWeston1RaphaëlLenain1UdeepaMeepegama1EmilFristed1AbstractThephoneticproblemhasautomaticspeechrecognition(ASR)asitsobvioususe-case.Inrec...
Learning of from Representations Prosody
2023-11-16 19:04:591894878.26 KB8
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