In this paper, we propose Task-Adversarial co-Generative Nets (TAGN) for learning from multiple tasks. It aims to address the two fundamental issues of ...

Aug 4, 2019 · In this paper, we propose Task-Adversarial co-Generative. Nets (TAGN) for learning from multiple tasks. It aims to address the two fundamental ...

In this paper, we propose Task-Adversarial co-Generative Nets (TAGN) for learning from multiple tasks. It aims to address the two fundamental issues of ...

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Posted: Jul 2, 2019

Jul 25, 2019 · The goal is to use an adversarial-and-cooperative strategy to decouple the task-common and task-specific knowledge, facilitating the fine- ...

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets · A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications · Safe sample ...

Oct 14, 2021 · Bibliographic details on Task-Adversarial Co-Generative Nets.

Abstract—Generating sequential decision process from huge amounts of measured process data is a future research direction for.

We propose the coupled generative adversarial nets (CoGAN) framework for generating pairs of corresponding images in two different domains.

A dynamic multi-objective task allocation model is formulated, and an end-to-end algorithm based on generative adversarial network (GAN) is proposed as its ...