Search Results for author: Yotaro Watanabe

Found 7 papers, 0 papers with code

Validity-Based Sampling and Smoothing Methods for Multiple Reference Image Captioning

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.

Image Captioning

Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives

no code implementations26 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.

Denoising Image Generation +1

Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings

no code implementations2 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).

reinforcement-learning reinforcement Learning

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