Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation

no code implementations • 19 Feb 2020 • Hai H. Tran, Sumyeong Ahn, Taeyoung Lee, Yung Yi

In this paper, we propose an idea of empowering the discriminativeness: Adding a new, artificial class and training the model on the data together with the GAN-generated samples of the new class.

Unsupervised Domain Adaptation

Solving Continual Combinatorial Selection via Deep Reinforcement Learning

no code implementations • 9 Sep 2019 • Hyungseok Song, Hyeryung Jang, Hai H. Tran, Se-eun Yoon, Kyunghwan Son, Donggyu Yun, Hyoju Chung, Yung Yi

IS-MDP decomposes a joint action of selecting K items simultaneously into K iterative selections resulting in the decrease of actions at the expense of an exponential increase of states.

reinforcement-learning Reinforcement Learning (RL)