Zobrazeno 1 - 10
of 7 853
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
While helium is a representative noble gas element characterized by its chemical inertness at ambient conditions, recent experiments and calculations argued that a minor amount of helium is incorporated into molten iron from silicate under high press
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
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
Autor:
Aika Yamaguchi, Chihiro Miyazaki, Yunosuke Takezawa, Goichiro Seo, Yuki Saito, Ryosuke Ohnuki, Shinya Yoshioka, Kaname Kanai
Publikováno v:
Carbon Trends, Vol 16, Iss , Pp 100396- (2024)
Poly(heptazine imide) (PHI), a carbon nitride polymer, is a highly efficient visible-light-driven photocatalytic material. We aimed to improve its photocatalytic performance for CO2 conversion. We prepared M-PHIs by encapsulating different metals (M
Externí odkaz:
https://doaj.org/article/7862959892c84404816160e48342be95