"Size"的相关文档

Run-Sort-ReRun Escaping Batch Size Limitations in Sliced Wasserstein Generative Models
Run-Sort-ReRun:EscapingBatchSizeLimitationsinSlicedWassersteinGenerativeModelsJose´Lezama1WeiChen2QiangQiu2Abstract2017;Lietal.,2017;Mrouehetal.,2017;Heuseletal.,2017;Deshpandeetal.,2018).However,...
in Batch Sliced Escaping Limitations
2023-11-16 19:41:395178.22 MB6
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Guarantees for Tuning the Step Size using a Learning-to-Learn Approach
GuaranteesforTuningtheStepSizeusingaLearning-to-LearnApproachXiangWang1ShuaiYuan1ChenweiWu1RongGe1Abstractrinetal.(2015)consideredtheideaoftuningtheseparame-tersbyoptimization—thatis,considerameta...
for Using Guarantees the Tuning
2023-11-16 18:46:52717372.01 KB23
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From Local Structures to Size Generalization in Graph Neural Networks
FromLocalStructurestoSizeGeneralizationinGraphNeuralNetworksGiladYehudai1EthanFetaya2EliMeirom1GalChechik12HaggaiMaron1AbstractFigure1.WestudytheabilityofGNNstogeneralizefromsmalltolargegraphs,focu...
from Local in to generalization
2023-11-16 18:37:541331967.61 KB17
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Train Big, Then Compress Rethinking Model Size for Efficient Training and Inference of Transformers
TrainLarge,ThenCompress:RethinkingModelSizeforEfﬁcientTrainingandInferenceofTransformersZhuohanLi1EricWallace1ShengShen1KevinLin1KurtKeutzer1DanKlein1JosephE.Gonzalez1AbstractCommonTrainSmallStopT...
Model Compress Rethinking Big Then
2023-11-14 21:46:4915551.79 MB12
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Sample Amplification Increasing Dataset Size even when Learning is Impossible
SampleAmpliﬁcation:IncreasingDatasetSizeevenwhenLearningisImpossibleBrianAxelrod1ShivamGarg1VatsalSharan1GregoryValiant1AbstractordoesitsufﬁcetohaveaccesstoasmallerdatasetofSizen<mdrawnfromD,andt...
Sample When Dataset Even Increasing
2023-11-14 21:46:161035861.71 KB21
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One Size Fits All Can We Train One Denoiser for All Noise Levels
OneSizeFitsAll:CanWeTrainOneDenoiserforAllNoiseLevels?AbhiramGnansambandam1StanleyH.Chan12Abstractarguablyuniversalforalllearning-basedestimators.Whensuchaproblemarises,themoststraight-forwardsolut...
Can All One We Size
2023-11-14 21:45:377451 MB18
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History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
History-GradientAidedBatchSizeAdaptationforVarianceReducedAlgorithmsKaiyiJi1ZheWang1BowenWeng1YiZhou2WeiZhang3YingbinLiang1AbstracthavebeenproposedtoreducethevarianceofSGD.Suchvariancereductiontech...
for Adaptation Variance Batch Aided
2023-11-14 21:44:3011336.46 MB1
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