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横田理央研究室
Showing the original Japanese · View translation
世界最大級のスパコンで、大規模な深層学習に挑む研究室。
AboutAbout the lab
スパコンの力で、大きな学習を回す。
横田理央研究室は、
深層学習で
既存の
今の
Key terms
- 分散並列
- 多数の
計算機や GPUに 仕事を 分けて 同時に 進め、 大きな 計算を 短い 時間で 終わらせる やり方 - 大規模言語モデル
- 膨大な
文章から 言葉の つながりを 学び、 文章を 作ったり 質問に 答えたりする 機械学習の モデル - 専門家混合モデル
- 入力ごとに
一部の 「専門家」だけを 働かせる ことで、 大きな モデルを 効率よく 動かす 仕組み。 MoEとも 呼ぶ
NewsLab news
学生らの
共著論文が、 CVPR 2026に 採択 学生らの
共著論文が、 ICLR 2026に Oralと して 採択 学生らの
共著論文が、 ICLR 2026に 採択 博士課程の
学生らの 共著論文が、 AAAI 2026に 採択 博士課程の
学生の 共著論文が、 NeurIPS 2025に 採択
ResearchResearch themes
横田理央研究室では、
*Illustrative image大規模言語モデルの事前学習
岡崎研究室、
*Illustrative image専門家混合モデルの疎性と推論
専門家混合モデル
画像と言葉を細かく結びつける
画像の
*Illustrative image言語モデルの計算を軽くする
大規模言語モデルで
MembersFaculty
横田理央研究室の
- Professor横田 理央Publications ↗
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Dutch national supercomputer "Huygens"” Dennis van Zuijlekom / CC BY-SA 2.0 (cropped)
- 大規模言語モデルの
事前学習: “Fugaku” 文部科学省 / CC BY 4.0 (cropped) - 専門家混合モデルの
疎性と 推論: “TSUBAME 3.0 PA075079” Kestrel / CC BY-SA 4.0 (cropped) - 言語モデルの
計算を 軽くする : “TSUBAME4.0 P5160989” Fukumoto / CC BY-SA 4.0 (cropped) - Related lab (デファゴ研究室): “Kilobot robot swarm” asuscreative / CC BY-SA 4.0 (cropped)
- Related lab (吉瀬研究室): “Cray 1 IMG 9126” Rama / CC BY-SA 2.0 fr (cropped)
- Related lab (佐藤研究室): “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Related lab (金崎研究室): “Atlas frontview 2013” DARPA / Public domain (cropped)
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