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标签“of”的相关文档，共557条

FOP Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
FOP:FactorizingOptimalJointPolicyofMaximum-EntropyMulti-AgentReinforcementLearningTianhaoZhang1YuehengLi1ChenWang1GuangmingXie1ZongqingLu1Abstractvalue-basedandactor-criticMARLmethods,whereglobalin...
of Optimal Policy Joint Factorizing
2023-11-16 18:37:5413371.84 MB3
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Disambiguation of Weak Supervision leading to Exponential Convergence rates
DisambiguationofWeakSupervisionleadingtoExponentialConvergenceratesVivienCabannes1FrancisBach1AlessandroRudi1Abstractsupervisedlearningareusuallybasedoncleverheuristics,andtheoreticalfoundationsofl...
of to Weak Exponential Supervision
2023-11-16 18:31:091454522.68 KB23
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Differentially-Private Clustering of Easy Instances
Differentially-PrivateClusteringofEasyInstancesEdithCohen12HaimKaplan12YishayMansour12UriStemmer13EliadTsfadia12Abstractandmanydifferentalgorithmshavebeensuggested.1How-ever,tothebestofourknowledge...
of Clustering Differentially-Private Easy Instances
2023-11-16 18:31:081773543.8 KB23
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Detection of Signal in the Spiked Rectangular Models
DetectionofSignalintheSpikedRectangularModelsJiHyungJung1HyeWonChung2JiOonLee13Abstractv∈RNwithu=v=1.Theparameterλcorrespondstothesignal-to-noiseratio(SNR).Weconsidertheproblemofdetectingsignalsi...
of the in Detection Signal
2023-11-16 18:31:04893469.61 KB26
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Dense for the Price of Sparse Improved Performance of Sparsely Initialized Networks via a Subspace offset
DenseforthePriceofSparse:ImprovedPerformanceofSparselyInitializedNetworksviaaSubspaceoffsetIlanPrice12JaredTanner12Abstract1.1.CompetingPrioritiesforSparseNetworksThatneuralnetworksmaybeprunedtohig...
of for Sparse the Improved
2023-11-16 18:31:038851.86 MB22
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Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
Data-drivenPredictionofGeneralHamiltonianDynamicsviaLearningExactly-SymplecticMapsRenyiChen1MoleiTao1Abstract1.IntroductionWeconsiderthelearningandpredictionofnon-Givenacollectionofsequences,eachbe...
of via Prediction General Hamiltonian
2023-11-16 18:30:5617912.46 MB5
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Cumulants of Hawkes Processes are Robust to Observation Noise
CumulantsofHawkesProcessesareRobusttoObservationNoiseWilliamTrouleau1JalalEtesami2MatthiasGrossglauser1NegarKiyavash2PatrickThiran1Abstracttheyareusedtomodelthestochastictimeevolutionoflimitorderbo...
of Robust Processes to Are
2023-11-16 18:30:5417681.82 MB20
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CountSketches, Feature Hashing and the Median of Three
CountSketches,FeatureHashingandtheMedianofThreeKasperGreenLarsen1RasmusPagh2JakubTeˇtek2Abstractmultitasklearning(Weinbergeretal.,2009)—seesec-tion1.5formoredetails.Inthispaper,werevisittheclassi...
of Feature and the Hashing
2023-11-16 18:30:521052450.1 KB8
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Double-Win Quant Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
Double-WinQuant:AggressivelyWinningRobustnessofQuantizedDeepNeuralNetworksviaRandomPrecisionTrainingandInferenceYongganFu1QixuanYu1MengLi2VikasChandra2YingyanLin1AbstractWuetal.,2018).However,DNNs...
of Robustness Quantized Double-Win Quant
2023-11-16 18:30:491994634.18 KB18
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Concentric mixtures of Mallows models for top-$k$ rankings sampling and identifiability
ConcentricMixturesofMallowsModelsforTop-kRankings:SamplingandIdentiﬁabilityFabienCollas1EkhineIrurozki12Abstractmillionsofresults.Inthispaper,westudymixturesoftwoMallowsTheMallowsmodel(MM)(Fligner...
of for Top-Models Mixtures
2023-11-16 18:11:241256465.25 KB1
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CLOCS Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
CLOCS:ContrastiveLearningofCardiacSignalsAcrossSpace,Time,andPatientsDaniKiyasseh1TingtingZhu1DavidA.Clifton12Abstractsharesomecontext.Bycapturingthishigh-levelsharedcontext(e.g.,medicaldiagnosis),...
Learning of Signals Across Contrastive
2023-11-16 18:11:2014161.57 MB30
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CIFS Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
CIFS:ImprovingAdversarialRobustnessofCNNsviaChannel-wiseImportance-basedFeatureSelectionHanshuYan1JingfengZhang2GangNiu2JiashiFeng1VincentY.F.Tan13MasashiSugiyama24Abstracttonomousvehicles(Grigores...
of Adversarial via Improving Robustness
2023-11-16 18:11:207461.74 MB22
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Characterizing Structural Regularities of Labeled Data in Overparameterized Models
CharacterizingStructuralRegularitiesofLabeledDatainOverparameterizedModelsZihengJiang123ChiyuanZhang4KunalTalwar45MichaelC.Mozer46Abstract(KISS!KISSED,KICK!KICKED,BREW!BREWED,etc.).Generalizationto...
Structural of Data in Labeled
2023-11-16 18:11:1918057.65 MB10
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Characterizing Fairness Over the Set of Good Models Under Selective Labels
CharacterizingFairnessOvertheSetofGoodModelsUnderSelectiveLabelsAmandaCoston1AsheshRambachan2AlexandraChouldechova3Abstractousmethodsforlearninganewthebestperformingmodelamongthosethatsatisfyachose...
of the Set Good Fairness
2023-11-16 18:11:19629413.99 KB3
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Calibrate Before Use Improving Few-shot Performance of Language Models
CalibrateBeforeUse:ImprovingFew-ShotPerformanceofLanguageModelsTonyZ.Zhao1EricWallace1ShiFeng2DanKlein1SameerSingh3AbstractInput:Subparacting.Sentiment:NegativeGPT-3canperformnumeroustaskswhenpro-I...
of Use Improving Performance Few-shot
2023-11-16 18:11:1712462.49 MB2
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Breaking the Limits of Message Passing Graph Neural Networks
BreakingtheLimitsofMessagePassingGraphNeuralNetworksMuhammetBalcilar12PierreHe´roux1BenoitGau¨ze`re3PascalVasseur14Se´bastienAdam1PaulHoneine1Abstractableweights.Theseweightscanbesharedwithrespe...
of Graph the Breaking Message
2023-11-16 18:11:161189464.44 KB8
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Bayesian Algorithm Execution Estimating Computable Properties of Black-box Functions Using Mutual Information
BayesianAlgorithmExecution:EstimatingComputablePropertiesofBlack-boxFunctionsUsingMutualInformationWillieNeiswanger1KeAlexanderWang1StefanoErmon1AbstracttackledbyBayesianoptimizationmethods(Shahria...
of Algorithm Bayesian Execution Estimating
2023-11-16 18:07:426161.55 MB3
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BASE Layers Simplifying Training of Large, Sparse Models
BASELayers:SimplifyingTrainingofLarge,SparseModelsMikeLewis1ShrutiBhosale1TimDettmers12NamanGoyal1LukeZettlemoyer12AbstractWorker1Worker2Weintroduceanewbalancedassignmentofex-Re-routetooriginalwork...
of Sparse Training Large Base
2023-11-16 18:07:41903199.92 KB19
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Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
BackpropagatedNeighborhoodAggregationforAccurateTrainingofSpikingNeuralNetworksYukunYang1WenruiZhang1PengLi1Abstractetal.,2014;Daviesetal.,2018).WhilerecentSNNresearchadvanceshaveledtoimprovedperfo...
of for Aggregation Accurate Training
2023-11-16 18:07:4117741.61 MB11
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Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size
BoostingtheThroughputandAcceleratorUtilizationofSpecializedCNNInferenceBeyondIncreasingBatchSizeJackKosaian1AmarPhanishayee2MatthaiPhilipose2DebadeeptaDey2K.V.Rashmi1AbstractHsiehetal.,2018;Kangeta...
of and the Boosting Throughput
2023-11-16 18:07:381156932 KB13
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