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Unifying Vision-and-Language Tasks via Text Generation
UnifyingVision-and-LanguageTasksviaTextGenerationJaeminCho1JieLeiHaoTanMohitBansalUNCChapelHill{jmincho,jielei,haotan,mbansal}@cs.unc.eduAbstract21Existingmethodsforvision-and-languagelearn-ingtypi...
Text Generation Unifying via Tasks
2023-11-16 19:42:199644.1 MB25
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Unifying Orthogonal Monte Carlo Methods
UnifyingOrthogonalMonteCarloMethodsKrzysztofChoromanski1MarkRowland2WenyuChen3AdrianWeller24Abstractetal.,2018b).WerefertotheclassofmethodsusingsuchorthogonalcouplingsasorthogonalMonteCarlo(OMC).Ma...
Unifying Methods Orthogonal Monte Carlo
2023-11-13 14:48:5413421.13 MB17
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Probability Functional Descent A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning
ProbabilityFunctionalDescent:AUnifyingPerspectiveonGANs,VariationalInference,andReinforcementLearningCaseyChu1JoseBlanchet2PeterGlynn2Abstractreinforcementlearning.Thegoalofthispaperistoprovideauni...
Unifying Descent on GANs Perspective
2023-11-13 14:48:17766310.25 KB10
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Unifying Task Specification in Reinforcement Learning
UnifyingTaskSpeciﬁcationinReinforcementLearningMarthaWhite1Abstractjectives,includingoptions(Suttonetal.,1999),state-baseddiscounting(Sutton,1995;Suttonetal.,2011)andinter-Reinforcementlearningtas...
Learning Unifying Reinforcement in Task
2023-11-12 20:45:281532539.43 KB10
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Adversarial Variational Bayes Unifying Variational Autoencoders and Generative Adversarial Networks
AdversarialVariationalBayes:UnifyingVariationalAutoencodersandGenerativeAdversarialNetworksLarsMescheder1SebastianNowozin2AndreasGeiger13AbstractfVariationalAutoencoders(VAEs)areexpressiveFigure1.W...
Adversarial Variational Bayes Unifying Autoencoders
2023-11-12 20:43:491878654.03 KB14
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Unifying Vision-and-Language Tasks via Text Generation

Unifying Orthogonal Monte Carlo Methods

Probability Functional Descent A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning

Unifying Task Specification in Reinforcement Learning

Adversarial Variational Bayes Unifying Variational Autoencoders and Generative Adversarial Networks