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Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes.

, , and . IEEE Trans. Neural Networks Learn. Syst., 33 (8): 3498-3509 (2022)

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Adversarial Learning of Disentangled and Generalizable Representations for Visual Attributes., , and . CoRR, (2019)Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization., , , , , , , and . CoRR, (2024)Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes., , and . IEEE Trans. Neural Networks Learn. Syst., 33 (8): 3498-3509 (2022)Cluster-guided Image Synthesis with Unconditional Models., , , and . CVPR, page 11533-11542. IEEE, (2022)Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer., , , , and . Int. J. Comput. Vis., 129 (7): 2288-2307 (2021)ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences., , , and . CoRR, (2022)Shared-Space Autoencoders with Randomized Skip Connections for Building Footprint Detection with Missing Views., , , , and . ICPR Workshops (7), volume 12667 of Lecture Notes in Computer Science, page 536-549. Springer, (2020)Enhancing Facial Data Diversity with Style-based Face Aging., , , , and . CVPR Workshops, page 66-74. Computer Vision Foundation / IEEE, (2020)Tensor Component Analysis for Interpreting the Latent Space of GANs., , , , and . BMVC, page 222. BMVA Press, (2021)Detecting Early Parkinson's Disease from Keystroke Dynamics using the Tensor-Train Decomposition., , and . EUSIPCO, page 1-5. IEEE, (2019)