no code implementations • 4 Mar 2024 • Tong Zheng, Shusaku Sone, Yoshitaka Ushiku, Yuki Oba, Jiaxin Ma
This paper presents a Tri-branch Neural Fusion (TNF) approach designed for classifying multimodal medical images and tabular data.
1 code implementation • 19 Oct 2023 • Shusaku Sone, Jiaxin Ma, Atsushi Hashimoto, Naoya Chiba, Yoshitaka Ushiku
Matching, a task to optimally assign limited resources under constraints, is a fundamental technology for society.
1 code implementation • 4 Feb 2022 • rintaro yanagi, Atsushi Hashimoto, Shusaku Sone, Naoya Chiba, Jiaxin Ma, Yoshitaka Ushiku
Instead of only optimizing the feature extractor for a matching algorithm, we propose a learning-based matching module optimized to the jointly-trained feature extractor.
no code implementations • 29 Sep 2021 • Shusaku Sone, Atsushi Hashimoto, Jiaxin Ma, rintaro yanagi, Naoya Chiba, Yoshitaka Ushiku
Assignment, a task to match a limited number of elements, is a fundamental problem in informatics.
no code implementations • NeurIPS 2021 • Shusaku Sone, Jiaxin Ma, Atsushi Hashimoto, Naoya Chiba, Yoshitaka Ushiku
Assignment, a task to match a limited number of elements, is a fundamental problem in informatics.
no code implementations • 18 Aug 2020 • Jiaxin Ma, Ryo Yonetani, Zahid Iqbal
This paper addresses the problem of decentralized learning to achieve a high-performance global model by asking a group of clients to share local models pre-trained with their own data resources.