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U-Tokyo Matsuo Lab
U-Tokyo Matsuo Lab
Make the world differentiable
  • ABOUT
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  • RESEARCH
    • Deep Learning
    • Web & Business
    • Collaborative Research
  • EDUCATION
    • Overview
    • Deep Learning
    • Data Science (GCI)
    • PSI Motivational project
    • Download course materials
  • PUBLICATIONS
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  • Language: English
    • 日本語 日本語
    • English English
  • ABOUT
    • Missions & Activities
    • Members
    • HPC
  • RESEARCH
    • Deep Learning
    • Web & Business
    • Collaborative Research
  • EDUCATION
    • Overview
    • Deep Learning
    • Data Science (GCI)
    • PSI Motivational project
    • Download course materials
  • PUBLICATIONS
    • Journals
    • Articles
    • International Conferences
    • Japanese Conferences
    • Books
    • Awards
    • Press
    • Invited Lectures
  • JOIN US
    • Students
    • Jobs
  • CONTACT
  • Language: English
    • 日本語 日本語
    • English English
  • WEBLAB
    AI & WEB
    松尾研究室では
    人工知能、ウェブ、ビジネスモデルの研究を軸に
    本格研究から社会実装まで一気通貫で活動を行っています。
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    ABOUT US
    Matsuo Lab. has a range of research areas
    including AI, Web Mining and business models.
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  • RESEARCH
    ARTIFICIAL INTELLIGENCE & DEEP LEARNING
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    RESEARCH
    ARTIFICIAL INTELLIGENCE & DEEP LEARNING
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  • EDUCATION
    GCI/AIL/WEB ENGINEERING & BUSINESS MODEL
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    EDUCATION
    GCI / AIL / WEB ENGINEERING & BUSINESS MODEL
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  • COLLABORATION
    COLLABORATIVE RESEARCH WITH ENTERPRISES
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    COLLABORATION
    COLLABORATIVE RESEARCH WITH ENTERPRISES

RECENT NEWS

Lab News

【松尾研主催Deep Learning 輪読会】記念すべき第256回が開催
January 15, 2021
【東大松尾研】2020年の活動報告
December 30, 2020
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective (IJCAI2020)
October 13, 2020
転移学習研究で汎用人工知能に挑む 特任助教熊谷さんインタビュー
September 25, 2020
【東大松尾研】2019年の活動報告
December 31, 2019
【松尾研主催DeepLearning勉強会】DL輪読会のご紹介
August 7, 2019
The exercise contents of DeepLearning Basics are now available for free.
June 13, 2019
【松尾研主催DeepLearning勉強会】DL輪読会のご紹介
May 10, 2019

Research News

Our paper was accepted for ICLR2021.
January 14, 2021
Our paper was accepted for ICLR2021.
January 14, 2021
Our paper was accepted for AAAI 2021.
December 4, 2020
Our paper was accepted for Frontiers in Robotics & AI.
December 3, 2020
当研究室の研究がキオクシア株式会社による「2020年度 キオクシア奨励研究」に採択されました
October 9, 2020
Our paper was accepted for EMNLP2020.
September 16, 2020
当研究室の論文が人工知能学会論文誌に採録されました
August 28, 2020
当研究室の論文がIJCAI2020に採択されました
July 10, 2020

For Students/Researchers

2019 Data Science Courses (Komaba & Online)
July 17, 2020
2019 Data Science Courses (Komaba & Online)
November 28, 2019
Job: Infrastructure Engineer
November 20, 2019
Job: Infrastructure Engineer
November 13, 2019
CFP: DL4US
October 2, 2019
The exercise contents of DeepLearning Basics are now available for free.
June 13, 2019
The exercise contents of DeepLearning Basics are now available for free.
May 15, 2019
Job: Infrastructure Engineer
January 24, 2019
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Virtual Reality as a User-friendly Interface for Learning from Demonstration

We use Virtual Reality as an intuitive interface for Imitation Learning to supervise a deep neural network based visual attention model.

スタディサプリ

リクルートとの共同研究で、進行中のプロジェクトの一つです。大学受験の学習支援サービス「受験サプリ」における学習者のモデル分析を行っています。機会学習などを用いた継続的学習に寄与するサービス要素の特定や、継続的利用を促す仕組みの実現を目指しています。

FacialVAE – Conditional VAE-GAN with Attribute Inference for Faces

A generative model for faces based on Conditional VAE-GAN. – M. Suzuki

The network of job-change in the start-up business community

We analysed big data concerning movements of human resources between companies.  It is shown that  the movement of highly-skilled professionals to start-up companies within the West Coast region is a leading indicator of growth of business.

Website Optimization

We research machine learning system for evolving website more attractive through user interaction.  We tackled website optimization applied to medium-sized sites and automatic variation generation system for A/B testing.

Consumer Intelligence

We may read consumption behavior we have never known by analysing the histories of users’ actions in website such as Niconico Douga, Zexy net and Study Supri. We investigate consumer needs and mechanism of consumption that usually discussed qualitatively.

Analysis of social media

Our lab is the most active research group in the field of analysis of social media. The figure shows the world’s first successful research detecting occurrence of an earthquake (or an event) by only Twitter. The number of its citations is more than 1500. In 2014, prof. Matsuo was a track chair of web mining in WWW Conference.  We continuously engage in election and market trend prediction and analysis.

ゼクシィ.net

国内最大の結婚情報サイト「ゼクシィ」の利用ログデータを用いて、商品の種類をまたいだユーザの嗜好を的確に捉える推薦エンジンの研究開発に取り組みました。研究成果は実際サイトでの推薦エンジンの開発に活用されただけではなく、電子情報通信学会誌に採録されました。

WACUL

人工知能によるウェブサイト解析を行う株式会社 WACUL と共同で、高度なウェブサイト改善提案を行う機械学習システムの研究を行いました。ウェブページごとの成約率を比較するだけではなく、ウェブページの特徴を捉えたウェブサイト最適化を目指しています。

social gear

Facebook広告のlog情報から、それぞれのAdsetのConversion数などの将来予測を行っています。 Adsetのパフォーマンスの将来予測により、予算のポートフォリオや、広告運用の最適化を行うことを目指しています。 kaggleなどのコンペティションを参考に、より高い精度を出せるように日々研究しています。

ドワンゴ

ニコニコ動画の動画のログを用いて様々なデータ分析を行っています。具体的には、マクロなユーザの視聴の遷移の可視化や、ユーザ遷移のパターンの仮説検証、次に見る動画のコンテンツ予測などを行っています。

PROJECTS

  • Virtual Reality as a User-friendly Interface for Learning from Demonstration

    DeepLearning, Projects
  • スタディサプリ

    Collaboration, Projects
  • FacialVAE – Conditional VAE-GAN with Attribute Inference for Faces

    DeepLearning, Projects
  • The network of job-change in the start-up business community

    Projects, Web&Business
  • Website Optimization

    Projects, Web&Business
  • Consumer Intelligence

    Projects, Web&Business
  • Analysis of social media

    Projects, Web&Business
  • ゼクシィ.net

    Collaboration, Projects
  • WACUL

    Collaboration, Projects
  • social gear

    Collaboration, Projects
  • ドワンゴ

    Collaboration, Projects
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