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cs.LG2021★ 2 cited
Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift
Emanuela Haller, Elena Burceanu, Marius Leordeanu
The human ability to synchronize the feedback from all their senses inspired recent works in multi-task and multi-modal learning. While these works rely on expensive supervision, o…
cs.LG2019
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu +1
Despite the significant advances in recent years, Generative Adversarial Networks (GANs) are still notoriously hard to train. In this paper, we propose three novel curriculum learn…