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标签“with”的相关文档，共634条

Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
Zero-ShotTaskGeneralizationwithMulti-TaskDeepReinforcementLearningJunhyukOh1SatinderSingh1HonglakLee12PushmeetKohli3AbstractFigure1:Exampleof3Dworldandinstructions.Theagentistaskedtoexecutelongerse...
with Reinforcement Deep Zero-Shot Multi-task
2023-11-12 20:45:318251.37 MB26
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Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
VariantsofRMSPropandAdagradwithLogarithmicRegretBoundsMaheshChandraMukkamala12MatthiasHein1AbstractThegoalofthispaperistwofold.First,weproposeSC-AdagradwhichisavariantofAdagradadaptedtotheAdaptiveg...
of and with Logarithmic Variants
2023-11-12 20:45:2911794.33 MB29
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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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Tensor Decomposition with Smoothness
TensorDecompositionwithSmoothnessMasaakiImaizumi1KoheiHayashi23AbstractTosolvetheseproblems,thelow-rankassumption,i.e.,giventensorisgeneratedfromasmallnumberoflatentRealdatatensorsaretypicallyhighd...
with Tensor Decomposition Smoothness
2023-11-12 20:45:2211661.15 MB20
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Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
StrongNP-HardnessforSparseOptimizationwithConcavePenaltyFunctionsYichenChen1DongdongGe2MengdiWang1ZizhuoWang3YinyuYe4HaoYin4AbstractWeareinterestedinthecomputationalcomplexityofProb-lem1undergenera...
for Sparse Optimization with Strong
2023-11-12 20:45:201022237.77 KB5
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Second-Order Kernel Online Convex Optimization with Adaptive Sketching
Second-OrderKernelOnlineConvexOptimizationwithAdaptiveSketchingDanieleCalandriello1AlessandroLazaric1MichalValko1Abstractminimizetheregret,deﬁnedasthedifferencebetweenthelossesofthepredictionsobta...
Adaptive Kernel Online Optimization with
2023-11-12 20:45:12830331.73 KB23
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Schema Networks Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
SchemaNetworks:Zero-shotTransferwithaGenerativeCausalModelofIntuitivePhysicsKenKanskyTomSilverDavidA.Me´lyMohamedEldawyMiguelLa´zaro-GredillaXinghuaLouNimrodDorfmanSzymonSidorScottPhoenixDileepGe...
Networks Generative with Causal Zero-Shot
2023-11-12 20:45:12621853.04 KB30
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Scalable Generative Models for Multi-label Learning with Missing Labels
ScalableGenerativeModelsforMulti-labelLearningwithMissingLabelsVikasJain1NirbhayModhe1PiyushRai1Abstracttisingandrecommendersystems(Prabhu&Varma,2014;Jainetal.,2016),etc.Wepresentascalable,generati...
Learning for Models Generative with
2023-11-12 20:45:111748448.86 KB5
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Robust Structured Estimation with Single-Index Models
RobustStructuredEstimationwithSingle-IndexModelsShengChen1ArindamBanerjee1Abstractplicatedscenarios.Tointroducemoreﬂexibility,oneop-tionistoconsiderthegeneralsingle-indexmodels(SIMs)Inthispaper,we...
Models with Robust Estimation Structured
2023-11-12 20:45:101944169.79 KB11
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Robust Probabilistic Modeling with Bayesian Data Reweighting
RobustProbabilisticModelingwithBayesianDataReweightingYixinWang1AlpKucukelbir1DavidM.Blei1Abstractobservations,oringeneral,measurementsthatdonotbelongDensitytotheprocesswearemodeling.Robustmodelssh...
with Bayesian Data Robust Probabilistic
2023-11-12 20:45:101443576.68 KB4
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Robust Gaussian Graphical Model Estimation with Arbitrary Corruption
RobustGaussianGraphicalModelEstimationwithArbitraryCorruptionLingxiaoWang1QuanquanGu1Abstracttheprecisionmatrix⇥⇤correspondstoparameterestima-tion,andspecifyingthenon-zerosetof⇥⇤correspondstoWe...
with Model Gaussian Robust Estimation
2023-11-12 20:45:091232855.65 KB29
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Risk Bounds for Transferring Representations with and without Fine-Tuning
RiskBoundsforTransferringRepresentationswithandwithoutFine-TuningDanielMcNamara1Maria-FlorinaBalcan2Abstractneuralnetworks.1Underthis‘representation-as-a-service’model,ausermayexpecttoaccessthere...
for Representations and with bounds
2023-11-12 20:45:081031426.04 KB23
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Reinforcement Learning with Deep Energy-Based Policies
ReinforcementLearningwithDeepEnergy-BasedPoliciesTuomasHaarnoja1HaoranTang2PieterAbbeel134SergeyLevine1Abstractstochasticpoliciesaredesirableforexploration,thisex-plorationistypicallyattainedheuris...
Learning with Reinforcement Deep Energy-Based
2023-11-12 20:45:0719112.18 MB28
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Programming with a Differentiable Forth Interpreter
ProgrammingwithaDifferentiableForthInterpreterMatkoBosˇnjak1TimRockta¨schel2JasonNaradowsky3SebastianRiedel1Abstractpartialproceduralbackgroundknowledge:onemayknowtheroughstructureoftheprogram,or...
with Differentiable Programming Forth Interpreter
2023-11-12 20:45:03545499.02 KB15
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Prediction and Control with Temporal Segment Models
PredictionandControlwithTemporalSegmentModelsNikhilMishra1PieterAbbeel12IgorMordatch2Abstracttasksinthesameenvironment.Additionally,learningdif-ferentiabledynamicsmodels(suchasthosebasedonneuralWei...
Models and with Prediction Control
2023-11-12 20:45:02575850.03 KB21
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PixelCNN Models with Auxiliary Variables for Natural Image Modeling
PixelCNNModelswithAuxiliaryVariablesforNaturalImageModelingAlexanderKolesnikov1ChristophH.Lampert1Abstracttypemodels(vandenOordetal.,2016a;b;Salimansetal.,2017),haveshowntodeliverthebestperformance...
for Models with Variables Auxiliary
2023-11-12 20:45:0113581.21 MB9
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Pain-Free Random Differential Privacy with Sensitivity Sampling
Pain-FreeRandomDifferentialPrivacywithSensitivitySamplingBenjaminI.P.Rubinstein1FrancescoAlda`2Abstracttentrequirementistheneedtoboundglobalsensitivity—aLipschitzconstantofthetarget,non-privatefun...
Sampling with random Pain-Free Differential
2023-11-12 20:45:001524447.75 KB16
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Online Learning with Local Permutations and Delayed Feedback
OnlineLearningwithLocalPermutationsandDelayedFeedbackOhadShamir1LiranSzlak1Abstracttiveandinsomecasesinferiortoalgorithmsnottailoredtocopewithworst-casebehavior.Indeed,anemerginglineofWeproposeanOn...
Learning Online and with Local
2023-11-12 20:44:571447776.77 KB12
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On orthogonality and learning recurrent networks with long term dependencies
OnorthogonalityandlearningrecurrentnetworkswithlongtermdependenciesEugeneVorontsov12ChihebTrabelsi12SamuelKadoury13ChrisPal12Abstractstabilizethenormofpropagatingsignalsdirectlybypenal-izingdiffere...
Learning Networks and with on
2023-11-12 20:44:5613574.04 MB22
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Nyström Method with Kernel K-means++ Samples as Landmarks
Nystro¨mMethodwithKernelK-means++SamplesasLandmarksDinoOglic12ThomasGa¨rtner2AbstractoreigendecompositionwhichscaleasOn3.ToovercomethiscomputationalshortcomingandscalekernelmethodsWeinvestigate,t...
Kernel with Method Nystr K-means++
2023-11-12 20:44:541776415.39 KB12
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