"Weight"的相关文档

标签“Weight”的相关文档，共13条

Lottery Ticket Preserves Weight Correlation Is It Desirable or Not
LotteryTicketPreservesWeightCorrelation:IsitDesirableorNot?NingLiu1GengYuan2ZhengpingChe3XuanShen2XiaolongMa2QingJin2JianRen4JianTang1†SijiaLiu5YanzhiWang2†Abstracttypicalpruningpipelinehasthreem...
IT is Weight Correlation Lottery
2023-11-16 19:05:1110256.23 MB14
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Linear Transformers Are Secretly Fast Weight Programmers
LinearTransformersAreSecretlyFastWeightProgrammersImanolSchlag∗1KazukiIrie∗1Ju¨rgenSchmidhuber1Abstractﬁeldnetwork(Ramsaueretal.,2021;Krotov&Hopﬁeld,2016;Demircigiletal.,2017).Itextendsaformof...
Fast Are Linear Weight Transformers
2023-11-16 19:05:089921.27 MB10
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Learning to Weight Imperfect Demonstrations
LearningtoWeightImperfectDemonstrationsYunkeWang1ChangXu2BoDu1HonglakLee34Abstractanyaccesstorewardsignal,hasachievedgreatsuccessinmanysequentialdecisionmakingproblems(Stadieetal.,Thispaperinvestig...
Learning to Weight Demonstrations Imperfect
2023-11-16 19:05:0411474.34 MB22
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Approximating a Distribution Using Weight Queries
ApproximatingaDistributionUsingWeightQueriesNadavBarak1SivanSabato1Abstractinterest.However,inmanycases,obtainingsucharan-domsampleisdifﬁcultorimpossible.Inthiswork,weWeconsideranovelchallenge:app...
Using Approximating Distribution Weight Queries
2023-11-16 18:00:32667471.72 KB26
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Soft Threshold Weight Reparameterization for Learnable Sparsity
SoftThresholdWeightReparameterizationforLearnableSparsityAdityaKusupati1VivekRamanujan2RaghavSomani1MitchellWortsman1PrateekJain3ShamKakade1AliFarhadi1Abstractbottleneckinthereal-worlddeploymentoft...
for Sparsity Weight Learnable Reparameterization
2023-11-14 21:46:2618791.99 MB5
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Minimax Weight and Q-Function Learning for Off-Policy Evaluation
MinimaxWeightandQ-FunctionLearningforOff-PolicyEvaluationMasatoshiUehara1JiaweiHuang2NanJiang2Abstractfromthecommunity(Liuetal.,2018;Xieetal.,2019),astheyovercomethecurseofhorizonwithrelativelymild...
Learning for and Off-Policy Minimax
2023-11-14 21:45:111945440.35 KB14
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Low-loss connection of Weight vectors distribution-based approaches
Low-lossconnectionofWeightvectors:distribution-basedapproachesIvanAnokhin1DmitryYarotsky1AbstractRecentresearchprovidessomefurtherevidenceinfavorofthe“connectedsublevelset”scenario.Aparticulareas...
of Approaches Weight Connection Low-loss
2023-11-14 21:45:0610712.32 MB11
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Learning Factorized Weight Matrix for Joint Image Filtering
LearningFactorizedWeightMatrixforJointFilteringXiangyuXu1YongruiMa2WenxiuSun3Abstractetal.,2010;Suetal.,2019),textureremoval(Xuetal.,2011;Lietal.,2019),super-resolution(Xuetal.,2019a),Jointﬁlterin...
Learning for Matrix Image Joint
2023-11-14 21:44:528193.09 MB6
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SWALP Stochastic Weight Averaging in Low Precision Training
SWALP:StochasticWeightAveraginginLow-PrecisionTrainingGuandaoYang1TianyiZhang1PolinaKirichenko1JunwenBai1AndrewGordonWilson1ChristopherDeSa1Abstractandaccumulategradientinformationinhigherprecision...
Precision Stochastic in low Weight
2023-11-13 14:48:421126790.03 KB6
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Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning
Dimension-WiseImportanceSamplingWeightClippingforSample-EfﬁcientReinforcementLearningSeungyulHan1YoungchulSung1Abstractsamplesgeneratedbythebehaviorpolicywhichcanbedif-ferentfromthetargetpolicy.Of...
for Sampling Importance Weight Dimension-Wise
2023-11-13 14:46:5312902.68 MB3
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Kernelized Synaptic Weight Matrices
KernelizedSynapticWeightMatricesLorenzK.Muller1JulienN.P.Martel1GiacomoIndiveri1Abstract1.1.RelatedWorkInthispaperweintroduceanovelneuralnet-ThereexistmanyapproachesthatreparametrizetheWeightworkar...
Synaptic Kernelized Weight Matrices
2023-11-13 11:59:5018162.59 MB8
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Invariance of Weight Distributions in Rectified MLPs
InvarianceofWeightDistributionsinRectiﬁedMLPsRussellTsuchida1FarbodRoosta-Khorasani23MarcusGallagher1Abstractplicationratherthananunderstandingofthecapabilitiesandtrainingofneuralnetworks.Recently...
of in Weight Distributions Invariance
2023-11-13 11:59:4816031.92 MB9
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Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
TheoreticalPropertiesforNeuralNetworkswithWeightMatricesofLowDisplacementRankLiangZhao1SiyuLiao1YanzhiWang2ZheLi2JianTang2BoYuan1AbstractFigure1.ExamplesofcommonlyusedLDR(structured)matri-ces,i.e.,...
Neural for Networks with Theoretical
2023-11-12 20:45:241387413.54 KB24
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