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Conference

L’électronique pour la conversion - Projet ciblé VERTIGO: Vertical GaN for High Voltage

Subjects: [SPI.TRON]Engineering Sciences [physics]/ElectronicsPoitier; France

  • Source: Lancement et première journée scientifique annuelle du PEPR Électronique ; https://hal.science/hal-04388116 ; Lancement et première journée scientifique annuelle du PEPR Électronique, Mar 2023,

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Conference

Wasserstein Loss for Semantic Editing in the Latent Space of GANs

Subjects: GAN; Wasserstein distance; image editionOrléans; France

  • Source: CBMI '23: Proceedings of the 20th International Conference on Content-based Multimedia Indexing ; 20th International Conference on Content-based Multimedia Indexing ; https://hal.science/hal-04036414

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Conference

Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities

Subjects: multi-user (MU) precoding; massive multipleinput multiple-output (MIMO); energy-efficiencyAustin; United States

  • Source: IEEE Wireless Communications and Networking Conference ; https://hal.science/hal-03551457 ; IEEE Wireless Communications and Networking Conference, Apr 2022, Austin, United States ;

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Conference

Why is the prediction wrong? Towards underfitting case explanation via meta-classification

Subjects: Machine learning; Interpretability; ExplainabilityShenzhen; China

  • Source: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)https://cnam.hal.science/hal-039962062022 IEEE 9th International Conference on Data Science and Advanced

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Academic Journal

Multi-attribute balanced sampling for disentangled GAN controls

Subjects: GANs; Image editing; Latent space

  • Source: ISSN: 0167-8655 ; Pattern Recognition Letters ; https://hal.science/hal-03404279 ; Pattern Recognition Letters, 2022, 162, pp.56-62. ⟨10.1016/j.patrec.2022.08.012⟩ ;

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Conference

Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning

Subjects: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Glasgow; United Kingdom

  • Source: ECCV 2020 workshop Transferring and adapting source knowledge in computer vision (TASK-CV) ; https://hal.science/hal-03003689 ; ECCV 2020 workshop Transferring and adapting source knowledge in

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Conference

Webly Supervised Semantic Embeddings for Large Scale Zero-Shot Learning

Subjects: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Kyoto; JapanKyoto, Japan

  • Source: 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 – December 4, 2020, Revised Selected Papers,Asian Conference on Computer Visionhttps://hal.science/hal-04569731

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