FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313361126> ?p ?o ?g. }

• W4313361126 endingPage "155" @default.
• W4313361126 startingPage "155" @default.
• W4313361126 abstract "Deep generative models, such as deep Boltzmann machines, focused on models that provided parametric specification of probability distribution functions. Such models are trained by maximizing intractable likelihood functions, and therefore require numerous approximations to the likelihood gradient. This underlying difficulty led to the development of generative machines such as generative stochastic networks, which do not represent the likelihood functions explicitly, like the earlier models, but are trained with exact backpropagation rather than the numerous approximations. These models use piecewise linear units that are having well behaved gradients. Generative machines were further extended with the introduction of an associative adversarial network leading to the generative adversarial nets (GANs) model by Goodfellow in 2014. The estimations in GANs process two multilayer perceptrons, called the generative model and the discriminative model. These are learned jointly by alternating the training of the two models, using game theory principles. However, GAN has many difficulties, including: the difficulty of training the models; criticality in the selection of hyper-parameters; difficulty in the control of generated samples; balancing the convergence of the discriminator and generator; and the problem of modal collapse. Since its inception, efforts have been made to tackle these issues one at a time or in multiples at several stages by many researchers. However, most of these have been handled efficiently in the boundary equilibrium generative adversarial networks (BEGAN) model introduced by Berthelot et al. in 2017. In this work we presented the advent of adversarial networks, starting with the history behind the models and c developments done on GANs until the BEGAN model was introduced. Since some time has elapsed since the proposal of BEGAN, we provided an up-to-date study, as well as future directions for various aspects of adversarial learning." @default.
• W4313361126 created "2023-01-06" @default.
• W4313361126 creator A5001764311 @default.
• W4313361126 creator A5017610833 @default.
• W4313361126 creator A5041854978 @default.
• W4313361126 creator A5070261372 @default.
• W4313361126 creator A5072291893 @default.
• W4313361126 date "2022-12-29" @default.
• W4313361126 modified "2023-10-18" @default.
• W4313361126 title "From Beginning to BEGANing: Role of Adversarial Learning in Reshaping Generative Models" @default.
• W4313361126 cites W1515020792 @default.
• W4313361126 cites W1586727544 @default.
• W4313361126 cites W2050215344 @default.
• W4313361126 cites W2130325614 @default.
• W4313361126 cites W2136655611 @default.
• W4313361126 cites W2194775991 @default.
• W4313361126 cites W2524608787 @default.
• W4313361126 cites W2622612680 @default.
• W4313361126 cites W2772844003 @default.
• W4313361126 cites W2797061331 @default.
• W4313361126 cites W2895547114 @default.
• W4313361126 cites W2911925130 @default.
• W4313361126 cites W2963073614 @default.
• W4313361126 cites W2963130832 @default.
• W4313361126 cites W2972785266 @default.
• W4313361126 cites W2984648456 @default.
• W4313361126 cites W2995831381 @default.
• W4313361126 cites W3041579012 @default.
• W4313361126 cites W3096831136 @default.
• W4313361126 cites W3127690492 @default.
• W4313361126 cites W3140120701 @default.
• W4313361126 cites W3142772534 @default.
• W4313361126 cites W3152507878 @default.
• W4313361126 cites W3174529016 @default.
• W4313361126 cites W3208107602 @default.
• W4313361126 cites W4291653124 @default.
• W4313361126 doi "https://doi.org/10.3390/electronics12010155" @default.
• W4313361126 hasPublicationYear "2022" @default.
• W4313361126 type Work @default.
• W4313361126 citedByCount "0" @default.
• W4313361126 crossrefType "journal-article" @default.
• W4313361126 hasAuthorship W4313361126A5001764311 @default.
• W4313361126 hasAuthorship W4313361126A5017610833 @default.
• W4313361126 hasAuthorship W4313361126A5041854978 @default.
• W4313361126 hasAuthorship W4313361126A5070261372 @default.
• W4313361126 hasAuthorship W4313361126A5072291893 @default.
• W4313361126 hasBestOaLocation W43133611261 @default.
• W4313361126 hasConcept C105795698 @default.
• W4313361126 hasConcept C117251300 @default.
• W4313361126 hasConcept C119857082 @default.
• W4313361126 hasConcept C121332964 @default.
• W4313361126 hasConcept C154945302 @default.
• W4313361126 hasConcept C163258240 @default.
• W4313361126 hasConcept C167966045 @default.
• W4313361126 hasConcept C2780992000 @default.
• W4313361126 hasConcept C33923547 @default.
• W4313361126 hasConcept C39890363 @default.
• W4313361126 hasConcept C41008148 @default.
• W4313361126 hasConcept C50644808 @default.
• W4313361126 hasConcept C60908668 @default.
• W4313361126 hasConcept C62520636 @default.
• W4313361126 hasConcept C97931131 @default.
• W4313361126 hasConceptScore W4313361126C105795698 @default.
• W4313361126 hasConceptScore W4313361126C117251300 @default.
• W4313361126 hasConceptScore W4313361126C119857082 @default.
• W4313361126 hasConceptScore W4313361126C121332964 @default.
• W4313361126 hasConceptScore W4313361126C154945302 @default.
• W4313361126 hasConceptScore W4313361126C163258240 @default.
• W4313361126 hasConceptScore W4313361126C167966045 @default.
• W4313361126 hasConceptScore W4313361126C2780992000 @default.
• W4313361126 hasConceptScore W4313361126C33923547 @default.
• W4313361126 hasConceptScore W4313361126C39890363 @default.
• W4313361126 hasConceptScore W4313361126C41008148 @default.
• W4313361126 hasConceptScore W4313361126C50644808 @default.
• W4313361126 hasConceptScore W4313361126C60908668 @default.
• W4313361126 hasConceptScore W4313361126C62520636 @default.
• W4313361126 hasConceptScore W4313361126C97931131 @default.
• W4313361126 hasIssue "1" @default.
• W4313361126 hasLocation W43133611261 @default.
• W4313361126 hasOpenAccess W4313361126 @default.
• W4313361126 hasPrimaryLocation W43133611261 @default.
• W4313361126 hasRelatedWork W1576360539 @default.
• W4313361126 hasRelatedWork W2019680624 @default.
• W4313361126 hasRelatedWork W2093104230 @default.
• W4313361126 hasRelatedWork W2105231718 @default.
• W4313361126 hasRelatedWork W2214198805 @default.
• W4313361126 hasRelatedWork W2523469089 @default.
• W4313361126 hasRelatedWork W2751624083 @default.
• W4313361126 hasRelatedWork W2770426046 @default.
• W4313361126 hasRelatedWork W3014948380 @default.
• W4313361126 hasRelatedWork W4285327185 @default.
• W4313361126 hasVolume "12" @default.
• W4313361126 isParatext "false" @default.
• W4313361126 isRetracted "false" @default.
• W4313361126 workType "article" @default.