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标签“with”的相关文档，共634条

Estimating $α$-Rank from A Few Entries with Low Rank Matrix Completion
Estimating↵-RankfromAFewEntrieswithLowRankMatrixCompletionYaliDu1XueYan2XuChen3JunWang1HaifengZhang2Abstractetal.,2018;Omidshaﬁeietal.,2019).TheEloandTrueSkillbothdealwithratingsofagentsinthepair...
from with low Estimating few
2023-11-16 18:38:0211142.47 MB10
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Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams
EfﬁcientMessagePassingfor0–1ILPswithBinaryDecisionDiagramsJan-HendrikLange1PaulSwoboda2Abstractent,Frank-Wolfeanddualblockcoordinateascent(DBCA)methods.TheDBCAapproach,alsocalledmessagepass-Wepre...
for Efficient with Binary Message
2023-11-16 18:37:57771356.39 KB3
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Distributed Nyström Kernel Learning with Communications
DistributedNystro¨mKernelLearningwithCommunicationsRongYin12YongLiu34WeipingWang12DanMeng12Abstractetal.,2021;Lietal.,2019;Rudietal.,2016;Avronetal.,2017),randomprojections(Lin&Cevher,2020;Liuetal...
Learning Kernel Distributed with Nystr
2023-11-16 18:31:111396324.77 KB27
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Discriminative Complementary-Label Learning with Weighted Loss
DiscriminativeComplementary-LabelLearningwithWeightedLossYiGao12Min-LingZhang23Abstracttion,includingbutnotlimitedto,semi-supervisedlearning(Chapelleetal.,2006;Oliveretal.,2018;Calderetal.,Compleme...
Learning with Loss Weighted Complementary-Label
2023-11-16 18:31:108201.66 MB24
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Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
Discrete-ValuedLatentPreferenceMatrixEstimationwithGraphSideInformationChanghunJo1KangwookLee2Abstracthavestartedtouseasocialgraphtoresolvethecoldstartproblem.Forinstance,Jamali&Ester(2010)providea...
Matrix with Graph Estimation Latent
2023-11-16 18:31:10978662.39 KB20
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Discovering symbolic policies with deep reinforcement learning
DiscoveringsymbolicpolicieswithdeepreinforcementlearningMikelLandajuela1BrendenK.Petersen1SookyungKim1ClaudioP.Santiago1RubenGlatt1T.NathanMundhenk1JacobF.Pettit1DanielM.Faissol1AbstractFigure1:Alg...
Learning with Reinforcement Deep Symbolic
2023-11-16 18:31:0913991.64 MB9
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Diffusion Source Identification on Networks with Statistical Confidence
DiffusionSourceIdentiﬁcationonNetworkswithStatisticalConﬁdenceQuinlanDawkins1TianxiLi2HaifengXu1Abstractleakageproblems(Newmanetal.,2002;Halperin&Al-mogy,2002;Xu&Ren,2016).ThenegativeimpactsstemD...
Networks Identification with on Statistical
2023-11-16 18:31:081456567.08 KB27
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Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
DifferentiableDynamicQuantizationwithMixedPrecisionandAdaptiveResolutionZhangZhaoyang1ShaoWenqi1GuJinwei23WangXiaogang1LuoPing4Abstractdynamicrangeandstepsizearefreezedineachlayer.Sec-ondly,gradien...
and with Precision Dynamic Differentiable
2023-11-16 18:31:0517001.38 MB12
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Deep Learning for Functional Data Analysis with Adaptive Basis Layers
DeepLearningforFunctionalDataAnalysiswithAdaptiveBasisLayersJunwenYao1JonasMueller2Jane-LingWang1Abstractindividualsubjectinourdataset.withoutlossofgeneral-ityweassumethattheintervalis[0,1].Thecurv...
Learning for with Analysis Deep
2023-11-16 18:31:01746604.1 KB30
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Dataset Condensation with Differentiable Siamese Augmentation
DatasetCondensationwithDifferentiableSiameseAugmentationBoZhao1HakanBilen1Abstractmassivedatasets(e.g.(Kuznetsovaetal.,2020;Chenetal.,2020a;Kwiatkowskietal.,2019)).Forexample,ittakesInmanymachinele...
with Differentiable Augmentation Dataset Condensation
2023-11-16 18:30:5714563.19 MB2
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Dash Semi-Supervised Learning with Dynamic Thresholding
Dash:Semi-SupervisedLearningwithDynamicThresholdingYiXuu1LeiShang1JinxingYe1QiQian1Yu-FengLiu2BaiguiSun1HaoLi1RongJin1Abstractamountoflabeleddataisavailable,butthereisahugeamountofdatawithoutlabel....
Learning with Dynamic Thresholding Semi-Supervised
2023-11-16 18:30:566021.74 MB29
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DAGs with No Curl An Efficient DAG Structure Learning Approach
DAGswithNoCurl:AnEfﬁcientDAGStructureLearningApproachYueYu1TianGao2NaiyuYin3QiangJi3AbstractHowever,DAGlearningisproventobeNP-hard(Chicker-ingetal.,2004)andscalabilitybecomesamajorissue.Recentlydi...
Efficient An with No DAG
2023-11-16 18:30:551924353.69 KB12
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Crystallization Learning with the Delaunay Triangulation
CrystallizationLearningwiththeDelaunayTriangulationJiaqiGu1GuoshengYin1AbstractandE(2i)<∞.Nonparametricregressionisacollectionofmethodsforestimatingtheconditionalexpectationfunc-BasedontheDelaunay...
Learning with the Crystallization Delaunay
2023-11-16 18:30:541654940.73 KB12
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DouZero Mastering DouDizhu with Self-Play Deep Reinforcement Learning
DouZero:MasteringDouDizhuwithSelf-PlayDeepReinforcementLearningDaochenZha1JingruXie2WenyeMa2ShengZhang3XiangruLian2XiaHu1JiLiu2Abstractexample,AlphaGo(Silveretal.,2016),AlphaZero(Sil-veretal.,2018)...
with Reinforcement Deep Self-Play DouZero
2023-11-16 18:30:5015941.14 MB11
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Distributed Second Order Methods with Fast Rates and Compressed Communication
DistributedSecondOrderMethodswithFastRatesandCompressedCommunicationRustemIslamov12XunQian1PeterRichta´rik1Abstract1.IntroductionWedevelopseveralnewcommunication-efﬁcientTheprevalentparadigmfortr...
Distributed with Methods Fast Rates
2023-11-16 18:30:487673.99 MB28
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Distributionally Robust Optimization with Markovian Data
DistributionallyRobustOptimizationwithMarkovianDataMengmengLi1TobiasSutter1DanielKuhn1Abstractrespondingtothetrainingsamplesandsolvestheresultingempiricalriskminimizationproblem(Shapiroetal.,2014)....
Optimization with Data Robust Distributionally
2023-11-16 18:30:48893936.36 KB16
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Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
ConditionalVariationalAutoencoderwithAdversarialLearningforEnd-to-EndText-to-SpeechJaehyeonKim1JungilKong1JuheeSon12Abstractetal.,2016)fromthepreprocessedtext,1andthesecondstageistogeneraterawwavef...
Learning for Adversarial Variational with
2023-11-16 18:11:2516671.35 MB19
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Conditional Temporal Neural Processes with Covariance Loss
ConditionalTemporalNeuralProcesseswithCovarianceLossBoseonYoo1JiwooLee2JanghoonJu2SeijunChung1SoyeonKim1JaesikChoi13Abstractducedin(Garneloetal.,2018a),whicharethenoveleffortsthatimplementsuchGPswi...
Neural with Conditional Processes Loss
2023-11-16 18:11:256026.12 MB14
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Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
ConditionalDistributionalTreatmentEffectwithKernelConditionalMeanEmbeddingsandU-StatisticRegressionJunhyungPark1UriShalit2BernhardScho¨lkopf1KrikamolMuandet1Abstractontheanalysisoftheaveragetreatm...
Kernel with Conditional Mean treatment
2023-11-16 18:11:241912535.21 KB28
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Compositional Video Synthesis with Action Graphs
CompositionalVideoSynthesiswithActionGraphsAmirBar1RoeiHerzig1XiaolongWang23AnnaRohrbach3GalChechik45TrevorDarrell3AmirGloberson1AbstractFigure1.WeproposeanewtaskcalledActionGraphtoVideo.Torepresen...
with graphs Synthesis Video Action
2023-11-16 18:11:247677.29 MB3
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