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@inproceedings{bb149559,
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@inproceedings{bb149560,
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Generative Adversarial Models",
        BOOKTITLE = DICTA21,
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@inproceedings{bb149561,
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@inproceedings{bb149562,
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        TITLE = "Cluster-wise Hierarchical Generative Model for Deep Amortized
Clustering",
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@inproceedings{bb149563,
        AUTHOR = "Hyun, S. and Kim, J. and Heo, J.P.",
        TITLE = "Self-Supervised Video GANs: Learning for Appearance Consistency and
Motion Coherency",
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@inproceedings{bb149564,
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        TITLE = "Task-Aware Variational Adversarial Active Learning",
        BOOKTITLE = CVPR21,
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@inproceedings{bb149565,
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        TITLE = "Discovering Interpretable Latent Space Directions of GANs Beyond
Binary Attributes",
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@inproceedings{bb149566,
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        TITLE = "AdCo: Adversarial Contrast for Efficient Learning of Unsupervised
Representations from Self-Trained Negative Adversaries",
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@inproceedings{bb149567,
        AUTHOR = "Daunhawer, I. and Sutter, T.M. and Marcinkevics, R. and Vogt, J.E.",
        TITLE = "Self-supervised Disentanglement of Modality-Specific and Shared Factors
Improves Multimodal Generative Models",
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@inproceedings{bb149568,
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        TITLE = "Interpreting the Latent Space of GANs via Correlation Analysis for
Controllable Concept Manipulation",
        BOOKTITLE = ICPR21,
        YEAR = "2021",
        PAGES = "1942-1948",
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@inproceedings{bb149569,
        AUTHOR = "Zheng, W.B. and Yan, L. and Wang, F.Y. and Gou, C.",
        TITLE = "Learning from the Negativity: Deep Negative Correlation Meta-learning
for Adversarial Image Classification",
        BOOKTITLE = MMMod21,
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@inproceedings{bb149570,
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        TITLE = "Uncertainty Estimates in Deep Generative Models Using Gaussian
Processes",
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@inproceedings{bb149571,
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@inproceedings{bb149572,
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gradient descent",
        BOOKTITLE = ICPR21,
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@inproceedings{bb149573,
        AUTHOR = "Turinici, G.",
        TITLE = "Convergence Dynamics of Generative Adversarial Networks:
The Dual Metric Flows",
        BOOKTITLE = "CADL20",
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@inproceedings{bb149574,
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        TITLE = "EvolGAN: Evolutionary Generative Adversarial Networks",
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@inproceedings{bb149575,
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        TITLE = "Topogan: A Topology-aware Generative Adversarial Network",
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@inproceedings{bb149576,
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        TITLE = "Adversarial T-shirt! Evading Person Detectors in a Physical World",
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@inproceedings{bb149577,
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@inproceedings{bb149578,
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Adversarial Networks",
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@inproceedings{bb149579,
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@inproceedings{bb149581,
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@inproceedings{bb149582,
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@inproceedings{bb149584,
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@inproceedings{bb149585,
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@inproceedings{bb149586,
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@inproceedings{bb149587,
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@inproceedings{bb149588,
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@inproceedings{bb149589,
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@inproceedings{bb149590,
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@inproceedings{bb149592,
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@inproceedings{bb149593,
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@inproceedings{bb149594,
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@inproceedings{bb149595,
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@inproceedings{bb149596,
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@inproceedings{bb149597,
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        YEAR = "2019",
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@inproceedings{bb149598,
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@inproceedings{bb149599,
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Remote Sensing Image Classification",
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