Search Results for author: Yotaro Watanabe

Found 8 papers, 0 papers with code

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 (RL)

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

Multilingual Sentence-T5: Scalable Sentence Encoders for Multilingual Applications

no code implementations26 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.

Natural Language Inference Sentence +2

Cannot find the paper you are looking for? You can Submit a new open access paper.