FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893744206> ?p ?o ?g. }

• W2893744206 abstract "In this paper, we investigate the underlying factor that leads to failure and success in the training of GANs. We study the property of the optimal discriminative function and show that in many GANs, the gradient from the optimal discriminative function is not reliable, which turns out to be the fundamental cause of failure in training of GANs. We further demonstrate that a well-defined distance metric does not necessarily guarantee the convergence of GANs. Finally, we prove in this paper that Lipschitz-continuity condition is a general solution to make the gradient of the optimal discriminative function reliable, and characterized the necessary condition where Lipschitz-continuity ensures the convergence, which leads to a broad family of valid GAN objectives under Lipschitz-continuity condition, where Wasserstein distance is one special case. We experiment with several new objectives, which are sound according to our theorems, and we found that, compared with Wasserstein distance, the outputs of the discriminator with new objectives are more stable and the final qualities of generated samples are also consistently higher than those produced by Wasserstein distance." @default.
• W2893744206 created "2018-10-05" @default.
• W2893744206 creator A5000092497 @default.
• W2893744206 creator A5001571390 @default.
• W2893744206 creator A5028747644 @default.
• W2893744206 creator A5039537757 @default.
• W2893744206 creator A5047145588 @default.
• W2893744206 creator A5047580482 @default.
• W2893744206 creator A5068559249 @default.
• W2893744206 creator A5090720315 @default.
• W2893744206 date "2018-07-02" @default.
• W2893744206 modified "2023-09-27" @default.
• W2893744206 title "Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets" @default.
• W2893744206 cites W2099471712 @default.
• W2893744206 cites W2178768799 @default.
• W2893744206 cites W2186118494 @default.
• W2893744206 cites W2521028896 @default.
• W2893744206 cites W2523469089 @default.
• W2893744206 cites W2524985544 @default.
• W2893744206 cites W2529989861 @default.
• W2893744206 cites W2548275288 @default.
• W2893744206 cites W2552465644 @default.
• W2893744206 cites W2554314924 @default.
• W2893744206 cites W2564591810 @default.
• W2893744206 cites W2577946330 @default.
• W2893744206 cites W2585630030 @default.
• W2893744206 cites W2605135824 @default.
• W2893744206 cites W2605287558 @default.
• W2893744206 cites W2617322972 @default.
• W2893744206 cites W2619503996 @default.
• W2893744206 cites W2632772789 @default.
• W2893744206 cites W2733819076 @default.
• W2893744206 cites W2749617271 @default.
• W2893744206 cites W2751565964 @default.
• W2893744206 cites W2751842161 @default.
• W2893744206 cites W2759973161 @default.
• W2893744206 cites W2766290211 @default.
• W2893744206 cites W2766527293 @default.
• W2893744206 cites W2767358676 @default.
• W2893744206 cites W2775288145 @default.
• W2893744206 cites W2785678896 @default.
• W2893744206 cites W2788549480 @default.
• W2893744206 cites W2788819334 @default.
• W2893744206 cites W2792263949 @default.
• W2893744206 cites W2804078698 @default.
• W2893744206 cites W2949496494 @default.
• W2893744206 cites W2951140085 @default.
• W2893744206 cites W2952745707 @default.
• W2893744206 cites W2963373786 @default.
• W2893744206 cites W2963508732 @default.
• W2893744206 cites W2963873275 @default.
• W2893744206 cites W2963981733 @default.
• W2893744206 cites W2964201867 @default.
• W2893744206 cites W3037695135 @default.
• W2893744206 doi "https://doi.org/10.48550/arxiv.1807.00751" @default.
• W2893744206 hasPublicationYear "2018" @default.
• W2893744206 type Work @default.
• W2893744206 sameAs 2893744206 @default.
• W2893744206 citedByCount "6" @default.
• W2893744206 countsByYear W28937442062018 @default.
• W2893744206 countsByYear W28937442062019 @default.
• W2893744206 countsByYear W28937442062020 @default.
• W2893744206 crossrefType "posted-content" @default.
• W2893744206 hasAuthorship W2893744206A5000092497 @default.
• W2893744206 hasAuthorship W2893744206A5001571390 @default.
• W2893744206 hasAuthorship W2893744206A5028747644 @default.
• W2893744206 hasAuthorship W2893744206A5039537757 @default.
• W2893744206 hasAuthorship W2893744206A5047145588 @default.
• W2893744206 hasAuthorship W2893744206A5047580482 @default.
• W2893744206 hasAuthorship W2893744206A5068559249 @default.
• W2893744206 hasAuthorship W2893744206A5090720315 @default.
• W2893744206 hasBestOaLocation W28937442061 @default.
• W2893744206 hasConcept C126255220 @default.
• W2893744206 hasConcept C134306372 @default.
• W2893744206 hasConcept C14036430 @default.
• W2893744206 hasConcept C154945302 @default.
• W2893744206 hasConcept C162324750 @default.
• W2893744206 hasConcept C176217482 @default.
• W2893744206 hasConcept C21547014 @default.
• W2893744206 hasConcept C22324862 @default.
• W2893744206 hasConcept C2777303404 @default.
• W2893744206 hasConcept C2779803651 @default.
• W2893744206 hasConcept C28826006 @default.
• W2893744206 hasConcept C33923547 @default.
• W2893744206 hasConcept C41008148 @default.
• W2893744206 hasConcept C50522688 @default.
• W2893744206 hasConcept C76155785 @default.
• W2893744206 hasConcept C78458016 @default.
• W2893744206 hasConcept C86803240 @default.
• W2893744206 hasConcept C94915269 @default.
• W2893744206 hasConcept C97931131 @default.
• W2893744206 hasConceptScore W2893744206C126255220 @default.
• W2893744206 hasConceptScore W2893744206C134306372 @default.
• W2893744206 hasConceptScore W2893744206C14036430 @default.
• W2893744206 hasConceptScore W2893744206C154945302 @default.
• W2893744206 hasConceptScore W2893744206C162324750 @default.
• W2893744206 hasConceptScore W2893744206C176217482 @default.
• W2893744206 hasConceptScore W2893744206C21547014 @default.
• W2893744206 hasConceptScore W2893744206C22324862 @default.
• W2893744206 hasConceptScore W2893744206C2777303404 @default.

• next