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機械学習・データマイニング研究室
Showing the original Japanese · View translation
データの偏りに強い、信頼できる機械学習の研究室。
AboutAbout the lab
データの偏りに強い、信頼できる機械学習を。
機械学習・
とくに、
研究室の
Key terms
- データバイアス
- 訓練に
使う データが、 モデルを 学習させる 人の 意図から 外れて 偏っている 状態 - 転移学習
- 少量の
予測先の データを 使い、 学習済みモデルを 予測先の データの 分布に 適応させる 方法 - スプリアス相関
- 予測対象と、
因果関係の ない 属性との 間に ある 見かけの 相関。 牛と 草原の 背景が 例
NewsLab news
ICML 2025採択論文が、
R7年度システム情報系ベストペーパー賞に 選出 国際会議AISTATS 2026と
ICLR 2026に 論文が 採択 国際会議ICML2025に
論文が 採択 国際会議AISTATS2025に
論文が 採択
ResearchResearch themes
機械学習は
*Illustrative image公平性を保つ機械学習
人種・性別・年齢などの
*Illustrative imageデータ分布の違いに適応する学習
訓練時の
*Illustrative image見かけの相関に惑わされない予測
予測対象の
MembersFaculty
機械学習・
- Assistant Professor福地 一斗
VoicesStudent voices
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Write a lab reviewAnonymous · Your draft is saved if you stopRelatedLabs similar to 機械学習・データマイニング研究室
ブラックボックス最適化研究室情報学群 情報科学類複雑な
自然言語処理 on the Web 研究室情報学群 情報科学類言語データを
計算幾何学と
暗号・情報セキュリティ研究室情報学群 情報科学類大切なThe information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
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: “Face Recognition Field Test at Südkreuz 17” This image is a work by Wikipedia and Wikimedia Commons user C.Suthorn. When reusing, credit me as described in the Licensing information below. I would appreciate being notified (wikimail, talk page, , Social Media) if you use my work outside Wikimedia. Do not copy this image illegally by ignoring the terms of the license below, as it is not in the public domain. If you would like special permission to use, license, or purchase the image please contact me to negotiate terms. More of my work can be found in my personal gallery or at my Peertube channel. A prepared attribution especially for use in Social Media and Print (newspapers, flyers, books, murals, mousepads, mugs, posters, t-shirts) can be copied here / CC BY-SA 4.0 (cropped)
- 公平性を
保つ機械学習: “Balance scale IMGP9755” Nikodem Nijaki / CC BY-SA 3.0 (cropped) - データ分布の
違いに 適応する 学習: “AI relation to Generative Models subset, venn diagram” The Original Benny C / CC BY-SA 4.0 (cropped) - 見かけの
相関に 惑わされない 予測: “Camel in Gobi Desert 01” Bernard Gagnon / CC0 (cropped) - Related lab (ブラックボックス最適化研究室): “Server Room Terminals ( )” Jon Parise / CC BY-SA 2.0 (cropped)
- Related lab (自然言語処理 on the Web 研究室): “Vecteezy stack-of-newspaper 1961329” Bernerlover / CC BY 4.0 (cropped)
- Related lab (計算幾何学と
グラフィックス研究室): “Apophysis 3D fractal ball” Garden / CC BY-SA 3.0 (cropped) - Related lab (暗号・情報セキュリティ研究室): “Padlock and key - 17c - Ryazan Kremlin Museum” Лапоть / CC0 (cropped)
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