Kazuki Osawa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
5
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. | Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa |
| 2022 | SC | Efficient Quantized Sparse Matrix Operations on Tensor Cores. | Shigang Li, Kazuki Osawa, Torsten Hoefler |
| 2020 | KDD | Rich Information is Affordable: A Systematic Performance Analysis of Second-order Optimization Using K-FAC. | Yuichiro Ueno, Kazuki Osawa, Yohei Tsuji, Akira Naruse, Rio Yokota |
| 2019 | CVPR | Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks. | Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka |
| 2017 | ICANN | Evaluating the Compression Efficiency of the Filters in Convolutional Neural Networks. | Kazuki Osawa, Rio Yokota |