"Yuichiro Ueno,Kazuki Osawa,Yohei Tsuji,Akira Naruse,Rio Yokota","Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC","24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining",,,,,,2021,Aug.
"Kazuki Oosawa","Second-order Optimization for Large-scale Deep Learning",,,,,,,2021,Mar.
"Kazuki Osawa","Second-order Optimization for Large-scale Deep Learning",,,,,,,2021,Mar.
"Kazuki Osawa","Second-order Optimization for Large-scale Deep Learning",,,,,,,2021,Mar.
"Kazuki Osawa,Yohei Tsuji,Yuichiro Ueno,Akira Naruse,Chuan-Sheng Foo,Rio Yokota","Scalable and Practical Natural Gradient for Large-Scale Deep Learning",,"IEEE Transactions on Pattern Analysis and Machine Intelligence",,,,,2020,June
"Rio Yokota,Yohei Tsuji,Kazuki Osawa","Second Order Optimization for Distributed Data-parallel Deep Learning on 4000 GPUs","I2R-TokyoTech Co-workshop on DL 2.0",,,,,,2020,Mar.
"Kazuki Osawa,Siddarth Swaroop,Anirudh Jain,Runa Eschenhagen,Richard E. Turner,Rio Yokota,Mohammad Emtiyaz Khan","Practical Deep Learning with Bayesian Principles","The 33rd Conference on Neural Information Processing Systems",,,,,,2019,Dec.
"Yohei Tsuji,Kazuki Osawa,Yuichiro Ueno,Akira Naruse,Rio Yokota,Satoshi Matsuoka","Performance Optimizations and Analysis of Distributed Deep Learning with Approximated Second-Order Optimization Method","International Conference on Parallel Processing: The 1st Workshop on Parallel and Distributed Machine Learning","Proceedings of the 48th International Conference on Parallel Processing: Workshops",,,"No. 21",,2019,Aug.
"Kazuki Osawa,Yohei Tsuji,Yuichiro Ueno,Akira Naruse,Rio Yokota,Satoshi Matsuoka","Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs","IEEE/CVF Conference on Computer Vision and Pattern Recognition",,,,,,2019,June
"大沢和樹,横田理央,Chuan-Sheng Foo,Vijay Chandrasekhar","Fisher情報行列の解析に基づく大規模深層学習のための二次最適化手法","第81回情報処理学会全国大会",,,,,,2019,Mar.
"中田光,大沢和樹,横田理央","自然勾配法に基づく変分深層学習","第81回情報処理学会全国大会",,,,,,2019,Mar.
"横田理央,大沢和樹,辻陽平,上野裕一郎,成瀬彰","大規模並列深層学習における2次の最適化手法の効果","電子情報通信学会総合大会",,,,,,2019,Mar.
"大友 広幸,大沢 和樹,横田 理央","フィッシャー情報行列のクロネッカー因子分解を用いた深層ニューラルネットワークの分散学習","第163回ハイパフォーマンスコンピューティング研究発表会",,,,,,2018,Mar.
"大友広幸,大沢和樹,横田理央","フィッシャー情報行列のクロネッカー因子分解を用いた深層学習","情報処理学会 全国大会",,,,,,2018,Mar.
"桑村祐二,大沢和樹,横田理央","自然勾配法の近似手法における学習パラメータの調整","情報処理学会全国大会",,,,,,2018,Mar.
"長沼大樹,関谷翠,大沢和樹,大友広幸,桑村裕二,横田理央","深層学習における低精度演算を用いた高速化及びアクセラレーターの性能評価","パターン認識・メディア理解研究会",,,,,,2017,Oct.
"大沢和樹,関谷翠,長沼大樹,横田理央","低ランクテンソル分解を用いた畳み込みニューラルネットワークの高速化","パターン認識・メディア理解研究会",,,,,,2017,Oct.
"Kazuki Oosawa,Rio Yokota","Evaluating the Compression Efficiency of the Filters in Convolutional Neural Networks","The 26th International Conference on Artificial Neural Networks",,,,,,2017,Sept.
"長沼大樹,大沢和樹,関谷翠,横田理央","深層学習における半精度演算を用いた圧縮モデルの高速化","日本応用数理学会年会",,,,,,2017,Sept.
"Kazuki Oosawa,Akira Sekiya,Hiroki Naganuma,Rio Yokota","Accelerating Matrix Multiplication in Deep Learning by Using Low-Rank Approximation","The 2017 International Conference on High Performance Computing & Simulation",,,,,,2017,July
"大沢和樹,関谷翠,長沼大樹,横田理央","畳み込みニューラルネットワークの低ランク近似を用いた高速化","第22回計算工学講演会","計算工学講演会論文集 Vol.22",,,,,2017,May
"関谷翠,大沢和樹,長沼大樹,横田理央","低ランク近似を用いた深層学習の行列積の高速化","第158回ハイパフォーマンスコンピューティング研究発表会",,,,,,2017,Mar.