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标签“Deep”的相关文档，共250条

Reverse-engineering Deep ReLU networks
Reverse-EngineeringDeepReLUNetworksDavidRolnick1KonradP.Ko¨rding1Abstractconstructadversarialattacks.TheoutputofaneuralnetworkdependsonitsarTherelatedquestionofreverse-engineeringbiologicalneu...
Networks Deep ReLU Reverse-engineering
2023-11-14 21:46:1113354.92 MB2
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Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
RandomMatrixTheoryProvesthatDeepLearningRepresentationsofGAN-dataBehaveasGaussianMixturesMohamedElAmineSeddik12CosmeLouart13MohamedTamaazousti1RomainCouillet23Abstractontopofitthatareaccurateforthe...
Learning Matrix Deep random Theory
2023-11-14 21:46:037414.65 MB14
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Q-value Path Decomposition for Deep Multiagent Reinforcement Learning
Q-valuePathDecompositionforDeepMultiagentReinforcementLearningYaodongYang1JianyeHao12GuangyongChen3HongyaoTang1YingfengChen4YujingHu4ChangjieFan4ZhongyuWei5Abstract1.IntroductionRecently,Deepmultia...
for Reinforcement Deep Decomposition Path
2023-11-14 21:46:02633979.05 KB26
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Overfitting in adversarially robust Deep learning
OverﬁttinginadversariallyrobustDeeplearningLeslieRice1EricWong2J.ZicoKolter1AbstractTestrobustTeststandardTrainrobustTrainstandardItiscommonpracticeinDeeplearningtouseover-parameterizednetworksand...
Learning Deep Robust in Adversarially
2023-11-14 21:45:4711502.21 MB26
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On Breaking Deep Generative Model-based Defenses and Beyond
OnBreakingDeepGenerativeModel-basedDefensesandBeyondYanzhiChen1RenjieXie2ZhanxingZhu3Abstract2018),featuredenoising(Liaoetal.,2018;Xieetal.,2019),randomizedsmoothing(Salmanetal.,2019;Cohenetal.,Dee...
and Generative on Deep Breaking
2023-11-14 21:45:27890664.01 KB29
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Normalized Loss Functions for Deep Learning with Noisy Labels
NormalizedLossFunctionsforDeepLearningwithNoisyLabelsXingjunMa1HanxunHuang1YisenWang2SimoneRomanoSarahErfani1JamesBailey1Abstract2018;Hanetal.,2018b);and4)robustlossfunctionsthatareinherentlytolera...
Learning for with Deep Functions
2023-11-14 21:45:2511685.31 MB9
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More Information Supervised Probabilistic Deep Face Embedding Learning
MoreInformationSupervisedProbabilisticDeepFaceEmbeddingLearningYingHuang1ShangfengQiu1WenweiZhang1XianghuiLuo1JinzhuoWang2AbstractFigure1.Examplesofgeneratedfrontalfacefromdifferentiden-tity.Inrows...
Deep Probabilistic Supervised Information More
2023-11-14 21:45:14797632.09 KB25
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Leveraging Frequency Analysis for Deep Fake Image Recognition
LeveragingFrequencyAnalysisforDeepFakeImageRecognitionJoelFrank1ThorstenEisenhofer1LeaScho¨nherr1AsjaFischer1DorotheaKolossa1ThorstenHolz1AbstracttheFlicker-Faces-HQdatasetandonegeneratedbyStyle-G...
for Analysis Deep Image Fake
2023-11-14 21:45:0217185.49 MB4
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Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
LearningFairPoliciesinMultiobjective(Deep)ReinforcementLearningwithAverageandDiscountedRewardsUmerSiddique1PaulWeng12MatthieuZimmer1AbstractcurrentAImethodsdonothandlewellsituationswheretheyimpactm...
Learning Reinforcement Deep in Multi-objective
2023-11-14 21:44:529401.73 MB12
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Learning Deep Kernels for Non-Parametric Two-Sample Tests
LearningDeepKernelsforNon-ParametricTwo-SampleTestsFengLiu12WenkaiXu2JieLu1GuangquanZhang1ArthurGretton2D.J.Sutherland3Abstracttremelylow-dimensionalspaces.Abroadsetofrecentworkinstatisticsandmachi...
Learning for Deep Kernels Tests
2023-11-14 21:44:518935.2 MB14
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Inter-domain Deep Gaussian Processes with RKHS Fourier Features
Inter-domainDeepGaussianProcessesTimG.J.Rudner1DinoSejdinovic2YarinGal1Abstractpoints-basedinferenceforGPsreliesonpointevaluationsandthus,byconstruction,createslocalapproximationstoInter-domainGaus...
with Deep Gaussian Processes Fourier
2023-11-14 21:44:4119871.7 MB25
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Interferometric Graph Transform a Deep Unsupervised Graph Representation
InterferometricGraphTransform:aDeepUnsupervisedGraphRepresentationEdouardOyallon1Abstract(Defferrardetal.,2016),whichheavilyrelyonspectralrepresentationsestimatedfromagivenLaplacianoperator.Wepropo...
Graph Deep Unsupervised Representation Transform
2023-11-14 21:44:411389797.33 KB22
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Infinite attention NNGP and NTK for Deep attention networks
Inﬁniteattention:NNGPandNTKforDeepattentionnetworksJiriHron1YasamanBahri2JaschaSohl-Dickstein2RomanNovak2Abstractetal.,2019;Novaketal.,2019;Li&Liang,2018;Allen-Zhuetal.,2019;Duetal.,2019;Aroraetal...
for and Infinite Deep Attention
2023-11-14 21:44:3913383.92 MB6
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Incidence Networks for Geometric Deep Learning
IncidenceNetworksforGeometricDeepLearningMarjanAlbooyeh1DanieleBertoliniSiamakRavanbakhsh23Abstracttwo(edges).Moreovereachedge(column)isincidenttoexactlytwonodes(rows).Thesparsitypatternoftheinci-S...
Learning for Networks Deep Geometric
2023-11-14 21:44:3613791.62 MB23
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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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Evaluating Lossy Compression Rates of Deep Generative Models
EvaluatingLossyCompressionRatesofDeepGenerativeModelsSicongHuang123AlirezaMakhzani12YanshuaiCao3RogerGrosse12Abstracttance(FID)(Heuseletal.,2017),whichdonothavenearlythesamedegreeoftheoreticalunder...
of Generative Deep Evaluating Compression
2023-11-14 21:44:057296.12 MB7
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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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Dynamics of Deep Neural Networks and Neural Tangent Hierarchy
DynamicsofDeepNeuralNetworksandNeuralTangentHierarchyJiaoyangHuang1Horng-TzerYau2Abstractproblems,thereisnoguaranteethatagradientbasedalgo-rithmwillbeabletoﬁndtheoptimalparametersefﬁcientlyTheevo...
of Neural Networks and Deep
2023-11-14 21:43:571793305.48 KB1
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dS^2LBI Exploring Structural Sparsity on Deep Network via Differential Inclusion Paths
DessiLBI:ExploringStructuralSparsityofDeepNetworksviaDifferentialInclusionPathsYanweiFu1ChenLiu1DonghaoLi12XinweiSun3JinshanZeng24YuanYao2Abstract1IntroductionOver-parameterizationisubiquitousnowad...
Structural on Deep Sparsity Exploring
2023-11-14 21:43:5612582.99 MB10
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DROCC Deep Robust One-Class Classification
DROCC:DeepRobustOne-ClassClassiﬁcationSachinGoyal1AditiRaghunathan2MokshJain3HarshaSimhadri1PrateekJain1Abstractthatdonotbelongtothetypicaldata(specialclass).Anotherrelatedsettingunderthisframewor...
Deep Robust Classification One-Class DROCC
2023-11-14 21:43:551425478.91 KB13
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