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标签“Networks”的相关文档，共232条

Weight-covariance alignment for adversarially robust neural Networks
Weight-CovarianceAlignmentforAdversariallyRobustNeuralNetworksPanagiotisEustratiadis1HenryGouk1DaLi12TimothyHospedales12Abstract2013).Inordertotacklethisproblem,manyadversarialdefensealgorithmshave...
Neural for Networks Robust Adversarially
2023-11-16 19:42:257483.39 MB30
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Watermarking Deep Neural Networks with Greedy Residuals
WatermarkingDeepNeuralNetworkswithGreedyResidualsHanwenLiu1ZhenyuWeng1YueshengZhu1Abstractandprivacyissues(Shokrietal.,2017;Songetal.,2017;Salemetal.,2019),andthusthemodelsareconsideredtoDeepneural...
Neural Networks with Deep Greedy
2023-11-16 19:42:248987.82 MB7
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Training Recurrent Neural Networks via Forward Propagation Through Time
TrainingRecurrentNeuralNetworksviaForwardPropagationThroughTimeAnilKag1VenkateshSaligrama1Abstractempiricalriskfunction:Back-propagationthroughtime(BPTT)hasbeen[W∗,v∗]=argminL(W,v)=1NT(yi,yˆti)w...
Neural Networks Recurrent via Forward
2023-11-16 19:42:14923784.66 KB5
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Training Quantized Neural Networks to Global Optimality via Semidefinite Programming
TrainingQuantizedNeuralNetworkstoGlobalOptimalityviaSemideﬁniteProgrammingBurakBartan1MertPilanci1Abstractdimensionsusingsemideﬁniteprogramming(Bartan&Pi-lanci,2021).Inthiswork,wetakeasimilarconv...
Neural Networks to Global Training
2023-11-16 19:42:141343883.91 KB1
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Training Graph Neural Networks with 1000 Layers
TrainingGraphNeuralNetworkswith1000LayersGuohaoLi12MatthiasMu¨ller1BernardGhanem2VladlenKoltun1AbstractRevGNN-WideResGNN-224DeepgraphneuralNetworks(GNNs)have88achievedexcellentresultsonvarioustask...
Neural Networks with Graph Training
2023-11-16 19:42:1314264.07 MB11
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Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
TrainingAdversariallyRobustSparseNetworksviaBayesianConnectivitySamplingOzanO¨zdenizci12RobertLegenstein1AbstractSeminalworkby(Szegedyetal.,2013)showedthatsuchadversarialexamplescanbecreatedviaper...
Networks Sparse Bayesian via Robust
2023-11-16 19:42:13774366.9 KB1
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Towards Understanding Learning in Neural Networks with Linear Teachers
TowardsUnderstandingLearninginNeuralNetworkswithLinearTeachersRoeiSarussi1AlonBrutzkus1AmirGloberson1Abstractwillseparatethedata.Whichofthesewillbefoundbygradientdescent?Cananeuralnetworkminimizing...
Learning Neural Networks with in
2023-11-16 19:42:121477594.64 KB4
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Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
TowardsCertifying∞RobustnessusingNeuralNetworkswith∞-distNeuronsBohangZhang1TianleCai23ZhouLu4DiHe5LiweiWang16Abstract1.IntroductionItiswell-knownthatstandardneuralNetworks,ModernneuralNetworksar...
Neural Using Networks Robustness Towards
2023-11-16 19:42:101820885.14 KB1
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Structured Convolutional Kernel Networks for Airline Crew Scheduling
StructuredConvolutionalKernelNetworksforAirlineCrewSchedulingYassineYaakoubi12FrançoisSoumis1SimonLacoste-Julien†23Abstractlarge-scalemonthlyCPPs(upto50,000ﬂights)andbuild-ingonthecolumngenerati...
for Kernel Networks Convolutional Structured
2023-11-16 19:41:591000377.11 KB11
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Sparsifying Networks via Subdifferential Inclusion
SparsifyingNetworksviaSubdifferentialInclusionSagarVerma1Jean-ChristophePesquet1Abstracthumancapabilities,neuralNetworksmayremaindifﬁculttoapplyinreal-worldscenarios.DeepneuralNetworksSparsifyingd...
Networks via Sparsifying Subdifferential Inclusion
2023-11-16 19:41:541318501.27 KB18
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SiameseXML Siamese Networks meet Extreme Classifiers with 100M Labels
SiameseXML:SiameseNetworksmeetExtremeClassiﬁerswith100MLabelsKunalDahiya1AnanyeAgarwal1DeepakSaini2GururajK3JianJiao3AmitSingh3SumeetAgarwal1PurushottamKar42ManikVarma21Abstractdescriptionse.g.,pr...
Networks with Classifiers Extreme meet
2023-11-16 19:41:4718851.17 MB6
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Scaling Properties of Deep Residual Networks
ScalingPropertiesofDeepResidualNetworksAlain–SamCohen1RamaCont2AlainRossier21RenyuanXu2Abstractwhereh(kL)isthehiddenstateatlayerk=0,...,L,h(0L)=x∈Rdtheinput,h(LL)∈Rdtheoutput,σ:R→Risanon-Resid...
of Networks Deep Scaling Properties
2023-11-16 19:41:421301834.44 KB26
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Revealing the Structure of Deep Neural Networks via Convex Duality
RevealingtheStructureofDeepNeuralNetworksviaConvexDualityTolgaErgen1MertPilanci1Abstractwheretwo-layerReLUNetworkswiththeminimumEu-clideannormsolutionandzerotrainingerrorareprovenWestudyregularized...
of Neural Networks Deep the
2023-11-16 19:41:3312261.51 MB22
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Re-understanding Finite-State Representations of Recurrent Policy Networks
Re-understandingFinite-StateRepresentationsofRecurrentPolicyNetworksMohamadH.Danesh1AnuragKoul1AlanFern1SaeedKhorram1Abstracttivehumaninterpretationoftheunderlying“strategicrole"oftheattended-toel...
of Representations Networks Recurrent Policy
2023-11-16 19:41:335781.68 MB6
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Z-GCNETs Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Z-GCNETs:TimeZigzagsatGraphConvolutionalNetworksforTimeSeriesForecastingYuzhouChen12IgnacioSegovia-Dominguez34YuliaR.Gel32Abstract1.IntroductionThererecentlyhasbeenasurgeofinterestinde-Manyrealworl...
Networks Graph Time at Convolutional
2023-11-16 19:41:291838910.25 KB22
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Whittle Networks A Deep Likelihood Model for Time Series
WhittleNetworks:ADeepLikelihoodModelforTimeSeriesZhongjieYu1FabrizioVentola1KristianKersting12Abstract2015).Consider,e.g.,thestockpricechangesofindus-trialsectorsshowninFig.1(Left).Thedropinlate201...
for Networks Model Deep Time
2023-11-16 19:41:2717722.17 MB21
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Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise
ProvableGeneralizationofSGD-trainedNeuralNetworksofAnyWidthinthePresenceofAdversarialLabelNoiseSpencerFrei1YuanCao2QuanquanGu2AbstractdeﬁneWeconsideraone-hidden-layerleakyReLUnet-OPT:=minP(x,y)∼D...
of Neural Networks generalization Provable
2023-11-16 19:28:321598455.14 KB12
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Privacy-Preserving Video Classification with Convolutional Neural Networks
Privacy-PreservingVideoClassiﬁcationwithConvolutionalNeuralNetworksSikhaPentyala1RafaelDowsley2MartineDeCock13AbstractMeinich-Bacheetal.,2020;Pengetal.,2020;Shahetal.,2019;Wuetal.,2019).Manyexisti...
Neural Networks with Classification Convolutional
2023-11-16 19:28:316421.18 MB20
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Principled Simplicial Neural Networks for Trajectory Prediction
PrincipledSimplicialNeuralNetworksforTrajectoryPredictionT.MitchellRoddenberry1NicholasGlaze1SantiagoSegarra1Abstractintheirabilitytoincorporatearbitrarypairwiserelationalstructuresintheircomputati...
Neural for Networks Prediction Principled
2023-11-16 19:28:31670450.21 KB2
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PHEW Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
PHEW:ConstructingSparseNetworksthatLearnFastandGeneralizeWellWithoutTrainingDataShreyasMalakarjunPatil1ConstantineDovrolis1Abstracterally,suchmethodsuseanedgescoringmechanismforeliminatingthelessim...
Networks Sparse Fast Learn that
2023-11-16 19:28:287941.03 MB7
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