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WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points
WGANwithanInﬁnitelyWideGeneratorHasNoSpuriousStationaryPointsAlbertNo1TaeHoYoon2SehyunKwon2ErnestK.Ryu2AbstractﬁnitelyWidegeneratortrainedwithstochasticgradientascent-descent.Speciﬁcally,weshowt...
An with Wide Infinitely Generator
2023-11-16 19:42:251499788.81 KB2
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Unique Properties of Wide Minima in Deep Networks
UniquePropertiesofFlatMinimainDeepNetworksRotemMulayoff1TomerMichaeli1Abstractmodels(Gunasekaretal.,2018b)anddeepnonlinearnet-workswithhomogeneousactivationfunctions(Lyu&Li,Itiswellknownthat(stocha...
of Deep in Minima Wide
2023-11-14 21:46:5512801.32 MB23
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Go Wide, Then Narrow Efficient Training of Deep Thin Networks
GoWide,ThenNarrow:EfﬁcientTrainingofDeepThinNetworksDennyZhou1MaoYe2ChenChen1TianjianMeng1MingxingTan1XiaodanSong1QuocLe1QiangLiu2DaleSchuurmans1Abstractfeletal.,2019;Brownetal.,2020).Toenlargeamo...
of Efficient Wide Training Go
2023-11-14 21:44:241790338.72 KB28
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Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions
NeuralNetworksShouldBeWideEnoughtoLearnDisconnectedDecisionRegionsQuynhNguyen1MaheshChandraMukkamala1MatthiasHein2AbstractTheﬁrstimportantresultsaretheuniversalapproximationtheorems(Cybenko,1989;H...
Neural Networks Be to Wide
2023-11-13 12:00:151840495.47 KB1
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The Loss Surface of Deep and Wide Neural Networks
TheLossSurfaceofDeepandWideNeuralNetworksQuynhNguyen1MatthiasHein1Abstractdoesnotencounterproblemswithsuboptimallocalmin-ima.However,astheauthorsadmitthemselvesin(Good-Whiletheoptimizationproblembe...
of and Deep the Loss
2023-11-12 20:45:221684277.44 KB18
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WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points

Unique Properties of Wide Minima in Deep Networks

Go Wide, Then Narrow Efficient Training of Deep Thin Networks

Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions

The Loss Surface of Deep and Wide Neural Networks