no code implementations • 2 Aug 2017 • Takuya Hiraoka, Masaaki Tsuchida, Yotaro Watanabe
This paper is the first attempt to learn the policy of an inquiry dialog system (IDS) by using deep reinforcement learning (DRL).
no code implementations • 26 Dec 2021 • Hideyuki Tachibana, Mocho Go, Muneyoshi Inahara, Yotaro Katayama, Yotaro Watanabe
Diffusion generative models have emerged as a new challenger to popular deep neural generative models such as GANs, but have the drawback that they often require a huge number of neural function evaluations (NFEs) during synthesis unless some sophisticated sampling strategies are employed.
no code implementations • 26 Mar 2024 • Chihiro Yano, Akihiko Fukuchi, Shoko Fukasawa, Hideyuki Tachibana, Yotaro Watanabe
Prior work on multilingual sentence embedding has demonstrated that the efficient use of natural language inference (NLI) data to build high-performance models can outperform conventional methods.
no code implementations • NAACL (maiworkshop) 2021 • Shunta Nagasawa, Yotaro Watanabe, Hitoshi Iyatomi
In image captioning, multiple captions are often provided as ground truths, since a valid caption is not always uniquely determined.