Personal Information
Organization / Workplace
Japan, Tokyo Japan
Occupation
Researcher, Deep Learning - ABEJA, Inc.
Industry
Education
About
My current interests are (1) applying deep learning to several fields including images / videos, natural languages, and graphs / networks, (2) developing new algorithms/methodologies for problems which current technology cannot solve efficiently, (3) finding new problems, (4) and finding emerging technologies.
Tags
deep learning
machine learning
ai
abeja
hyperbolic geometry
psychology
bert
word2vec
retail
nips2016
uncertainty
ranking
fairness
neurips2021
unsupervised
phrase extraction
kdd2021_reading
kdd2021
ml
nlp
alphafold
corona
covid-19
feature disentanglement
face recognition
distillation
computer vision
internal learning
iccv2019
meetup
face analysis
deep leanring
machine leanring
poincare embeddings
embeddings
human
annotation
personality psychology
cvpr
deep learnign
transfer learning
neurips2018
gyrovector space
riemannian geometry
data augmentation
nips2017
icml2017
cnn
variational autoencoder
vae
variational inference
See more
Presentations
(15)Likes
(33)トピックモデルの評価指標 Coherence 研究まとめ #トピ本
hoxo_m
•
7 years ago
ICLR2018におけるモデル軽量化(ICLR2018読み会@ PFN)
tomohiro kato
•
5 years ago
State of the Cloud Report 2018 - Bessemer Venture Partners
Bessemer Venture Partners
•
5 years ago
[DL輪読会] “Asymmetric Tri-training for Unsupervised Domain Adaptation (ICML2017)” and Neural Domain Adaptation
Yusuke Iwasawa
•
6 years ago
サイカのカスタマーサクセス部立ち上げ奮闘記
Ayumu Takahashi
•
6 years ago
NIPS2016論文紹介 Riemannian SVRG fast stochastic optimization on riemannian manifolds
Takami Sato
•
6 years ago
Quoraコンペ参加記録
Takami Sato
•
6 years ago
5分でわかるブロックチェーンの基本的な仕組み
Ryo Shimamura
•
7 years ago
機械学習に取り組んでいる企業の紹介
Kazuma Kadomae
•
7 years ago
データベース設計徹底指南
Mikiya Okuno
•
10 years ago
Topological data analysis
Sunghyon Kyeong
•
9 years ago
文字認識はCNNで終わるのか?
Seiichi Uchida
•
7 years ago
為替と株の予測の話
Kentaro Imajo
•
6 years ago
チームワーク、努力、勝利 / スタートアップのチームワークとコミュニケーション
Takaaki Umada
•
8 years ago
Learning Convolutional Neural Networks for Graphs
Takuya Akiba
•
7 years ago
神経科学をカジュアルにトーク
Yuki Yoshida
•
7 years ago
カスタマーサポートのことは嫌いでも、カスタマーサクセスは嫌いにならないでください
Takaaki Umada
•
8 years ago
ゼロからはじめるプロダクトマネージャー生活
Takaaki Umada
•
7 years ago
スタートアップの戦略&ビジネスモデルの考え方
Takaaki Umada
•
7 years ago
Docker/Aarukas入門ハンズオン資料~第1回さくらとコンテナの夕べ #さくらの夕べ 番外編
Masahito Zembutsu
•
7 years ago
2016-10-25 product manager conference 資料
Takeo Iyo
•
7 years ago
160924 Deep Learning Tuningathon
Takanori Ogata
•
7 years ago
Tensor flow usergroup 2016 (公開版)
Hiroki Nakahara
•
7 years ago
画像処理ライブラリ OpenCV で 出来ること・出来ないこと
Norishige Fukushima
•
7 years ago
論文紹介: Fast R-CNN&Faster R-CNN
Takashi Abe
•
8 years ago
失敗から学ぶデータ分析グループのチームマネジメント変遷 (デブサミ2016) #devsumi
Tokoroten Nakayama
•
7 years ago
プロダクトマネージャのお仕事
Shohei Hido
•
7 years ago
あなたの業務に機械学習を活用する5つのポイント
Shohei Hido
•
9 years ago
試行錯誤と改善を繰り返し、チームの開発力を高めた方法
Mitsuhiro Amano
•
7 years ago
Juliaで学ぶ Hamiltonian Monte Carlo (NUTS 入り)
Kenta Sato
•
9 years ago
Personal Information
Organization / Workplace
Japan, Tokyo Japan
Occupation
Researcher, Deep Learning - ABEJA, Inc.
Industry
Education
About
My current interests are (1) applying deep learning to several fields including images / videos, natural languages, and graphs / networks, (2) developing new algorithms/methodologies for problems which current technology cannot solve efficiently, (3) finding new problems, (4) and finding emerging technologies.
Tags
deep learning
machine learning
ai
abeja
hyperbolic geometry
psychology
bert
word2vec
retail
nips2016
uncertainty
ranking
fairness
neurips2021
unsupervised
phrase extraction
kdd2021_reading
kdd2021
ml
nlp
alphafold
corona
covid-19
feature disentanglement
face recognition
distillation
computer vision
internal learning
iccv2019
meetup
face analysis
deep leanring
machine leanring
poincare embeddings
embeddings
human
annotation
personality psychology
cvpr
deep learnign
transfer learning
neurips2018
gyrovector space
riemannian geometry
data augmentation
nips2017
icml2017
cnn
variational autoencoder
vae
variational inference
See more