"Need"的相关文档

When All We Need is a Piece of the Pie A Generic Framework for Optimizing Two-way Partial AUC
WhenAllWeNeedisaPieceofthePie:AGenericFrameworkforOptimizingTwo-wayPartialAUCZhiyongYang12QianqianXu3ShilongBao12YuanHe4XiaochunCao12QingmingHuang3567Abstractframework.TheAreaUndertheROCCurve(AUC)i...
of is When All We
2023-11-16 19:41:277931.76 MB27
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Is Space-Time Attention All You Need for Video Understanding
IsSpace-TimeAttentionAllYouNeedforVideoUnderstanding?GedasBertasius1HengWang1LorenzoTorresani12AbstractVideounderstandingsharesseveralhigh-levelsimilaritieswithNLP.Firstofall,videosandsentencesareb...
for Attention is All Need
2023-11-16 18:47:0515338.17 MB11
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Do We Actually Need Dense Over-Parameterization In-Time Over-Parameterization in Sparse Training
DoWeActuallyNeedDenseOver-Parameterization?In-TimeOver-ParameterizationinSparseTrainingShiweiLiu1LuYin1DecebalConstantinMocanu12MykolaPechenizkiy1AbstractFigure1.Astheﬁgureproceeds,weperformanOver...
Do Dense We Need Over-Parameterization
2023-11-16 18:30:498245.65 MB2
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Attention is not all you Need pure attention loses rank doubly exponentially with depth
AttentionisnotallyouNeed:pureattentionlosesrankdoublyexponentiallywithdepthYiheDong1Jean-BaptisteCordonnier2AndreasLoukas3Abstractattentionlayers.Surprisingly,weﬁndthatpureself-attentionnetworks(S...
Attention is All Not Need
2023-11-16 18:00:189421.2 MB21
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Do We Really Need to Access the Source Data Source Hypothesis Transfer for Unsupervised Domain Adaptation
DoWeReallyNeedtoAccesstheSourceData?SourceHypothesisTransferforUnsupervisedDomainAdaptationJianLiang1DapengHu1JiashiFeng1Abstractsegmentation(Zhangetal.,2017;Hoffmanetal.,2018),etc.Overthelastdecad...
to Source Do Access We
2023-11-14 21:43:53515620.33 KB20
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Do We Need Zero Training Loss After Achieving Zero Training Error
DoWeNeedZeroTrainingLossAfterAchievingZeroTrainingError?TakashiIshida12IkkoYamane1TomoyaSakai3GangNiu2MasashiSugiyama21Abstract(a)w/oFlooding(b)w/FloodingOverparameterizeddeepnetworkshavethecapac-[...
Loss Training Do We Need
2023-11-14 21:43:5215841.24 MB16
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To Understand Deep Learning We Need to Understand Kernel Learning
ToUnderstandDeepLearningWeNeedtoUnderstandKernelLearning†MikhailBelkin1SiyuanMa1SoumikMandal1Abstractdeeplearningwillbedifﬁcultuntilmoretractable“shallow”kernelmethodsarebetterunderstood.Genera...
Learning Deep to to Understand
2023-11-13 12:00:531179973.5 KB17
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