Zobrazeno 1 - 10
of 7 995
pro vyhledávání: '"Takezawa A"'
Autor:
Yamazaki Akira, Takezawa Ao, Nakano Ryohei, Nishimura Kazusa, Motoki Ko, Hosokawa Munetaka, Nakazaki Tetsuya
Publikováno v:
Journal of Horticultural Research, Vol 30, Iss 2, Pp 105-116 (2023)
“Autonomous fruit set” refers to self-pollination and fruit set without pollen vectors such as vibration or insects. Autonomous fruit set under high-temperature stress is an important breeding goal as climate change can reduce fruit yields in Cap
Externí odkaz:
https://doaj.org/article/b1b88135cb5d40b88b89c767305d157b
Gradient descent and its variants are de facto standard algorithms for training machine learning models. As gradient descent is sensitive to its hyperparameters, we need to tune the hyperparameters carefully using a grid search. However, the method i
Externí odkaz:
http://arxiv.org/abs/2405.15010
SimSiam is a prominent self-supervised learning method that achieves impressive results in various vision tasks under static environments. However, it has two critical issues: high sensitivity to hyperparameters, especially weight decay, and unsatisf
Externí odkaz:
http://arxiv.org/abs/2405.14650
Autor:
Takezawa, Haruki, Hsu, Han, Hirose, Kei, Sakai, Fumiya, Fu, Suyu, Gomi, Hitoshi, Miwa, Shiro, Sakamoto, Naoya
We report the formations of fcc and distorted hcp iron-helium compounds with x in FeHex up to 0.13 and 0.48, respectively, based on experiments at 5-54 GPa and ~1000-2820 K. Upon releasing pressure under room temperature, these fcc and distorted hcp
Externí odkaz:
http://arxiv.org/abs/2405.11810
Autor:
Yamada, Makoto, Takezawa, Yuki, Houry, Guillaume, Dusterwald, Kira Michaela, Sulem, Deborah, Zhao, Han, Tsai, Yao-Hung Hubert
In this study, we delve into the problem of self-supervised learning (SSL) utilizing the 1-Wasserstein distance on a tree structure (a.k.a., Tree-Wasserstein distance (TWD)), where TWD is defined as the L1 distance between two tree-embedded vectors.
Externí odkaz:
http://arxiv.org/abs/2310.10143
Autor:
Takezawa, Mikio, Suzuki, Ryota, Takahashi, Junichi, Shimizu, Kaito, Naruki, Ayumu, Katsumata, Kazutaka, Nemoto, Kae, Sadgrove, Mark, Sanaka, Kaoru
Publikováno v:
Physical Review Applied 20, 044038 (2023)
Rare-earth (RE) atoms in solid-state materials are attractive components for photonic quantum information systems because of their coherence properties even in high-temperature environments. We have experimentally performed the single-site optical sp
Externí odkaz:
http://arxiv.org/abs/2310.10974
We propose Easymark, a family of embarrassingly simple yet effective watermarks. Text watermarking is becoming increasingly important with the advent of Large Language Models (LLM). LLMs can generate texts that cannot be distinguished from human-writ
Externí odkaz:
http://arxiv.org/abs/2310.08920
In recent years, large language models (LLMs) have achieved remarkable performances in various NLP tasks. They can generate texts that are indistinguishable from those written by humans. Such remarkable performance of LLMs increases their risk of bei
Externí odkaz:
http://arxiv.org/abs/2310.00833
Autor:
Hironori Matsumoto, Suguru Annen, Naoki Mukai, Muneaki Ohshita, Shirou Ogawa, Mitsuo Okita, Tsunenori Tanabe, Mitsuaki Takezawa, Yuki Nakabayashi, Satoshi Kikuchi, Jun Takeba, Norio Sato
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract We carried out a retrospective observational investigation to explore the association of endotheliopathy with coagulofibrinolytic reactions and the progression of disseminated intravascular coagulation (DIC) in adult trauma patients. We meas
Externí odkaz:
https://doaj.org/article/79d03bd69cc54f0c934856cea440aca2
Decentralized learning has recently been attracting increasing attention for its applications in parallel computation and privacy preservation. Many recent studies stated that the underlying network topology with a faster consensus rate (a.k.a. spect
Externí odkaz:
http://arxiv.org/abs/2305.11420