no code implementations • 14 Jun 2022 • Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli, Ioanna Skampardoni, Lasya P. Sreepada, Dushyant Sahoo, Konstantina Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields.
no code implementations • 28 Dec 2020 • Vasiliki Tassopoulou, George Retsinas, Petros Maragos
In our work, we utilize a Multi-task Learning scheme, training the model to perform decompositions of the target sequence with target units of different granularity, from fine to coarse.