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Empirical Analysis of Overfitting and Mode Drop in GAN Training., , , , and . CoRR, (2020)The Unusual Effectiveness of Averaging in GAN Training., , , , , and . CoRR, (2018)Classify and generate: Using classification latent space representations for image generations., , , , , and . Neurocomputing, (2022)Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions., , , , , , and . CoRR, (2019)Revisiting pretraining for semi-supervised learning in the low-label regime., , , , , , , and . Neurocomputing, (January 2024)Mixed Membership Generative Adversarial Networks., , , , , , and . ICIP, page 1026-1030. IEEE, (2022)Autoregressive Generative Adversarial Networks., , and . ICLR (Workshop), OpenReview.net, (2018)Classification Representations Can be Reused for Downstream Generations., , , , , and . CoRR, (2020)SemiCurv: Semi-Supervised Curvilinear Structure Segmentation., , , , , and . CoRR, (2022)Group happiness assessment using geometric features and dataset balancing., , , and . ICMI, page 479-486. ACM, (2016)