| Practical deep learning with Bayesian principles K Osawa, S Swaroop, MEE Khan, A Jain, R Eschenhagen, RE Turner, ... Advances in neural information processing systems 32, 2019 | 281 | 2019 |
| Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks K Osawa, Y Tsuji, Y Ueno, A Naruse, R Yokota, S Matsuoka The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp …, 2019 | 151* | 2019 |
| Scalable and practical natural gradient for large-scale deep learning K Osawa, Y Tsuji, Y Ueno, A Naruse, CS Foo, R Yokota IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (1), 404-415, 2020 | 38 | 2020 |
| Efficient quantized sparse matrix operations on tensor cores S Li, K Osawa, T Hoefler SC22: International Conference for High Performance Computing, Networking …, 2022 | 29 | 2022 |
| Understanding approximate fisher information for fast convergence of natural gradient descent in wide neural networks R Karakida, K Osawa Advances in neural information processing systems 33, 10891-10901, 2020 | 27 | 2020 |
| Accelerating matrix multiplication in deep learning by using low-rank approximation K Osawa, A Sekiya, H Naganuma, R Yokota 2017 International Conference on High Performance Computing & Simulation …, 2017 | 26 | 2017 |
| Rich information is affordable: A systematic performance analysis of second-order optimization using K-FAC Y Ueno, K Osawa, Y Tsuji, A Naruse, R Yokota Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 15 | 2020 |
| PipeFisher: Efficient training of large language models using pipelining and Fisher information matrices K Osawa, S Li, T Hoefler Proceedings of Machine Learning and Systems 5, 708-727, 2023 | 14 | 2023 |
| Neural graph databases M Besta, P Iff, F Scheidl, K Osawa, N Dryden, M Podstawski, T Chen, ... Learning on Graphs Conference, 31: 1-31: 38, 2022 | 13 | 2022 |
| Asdl: A unified interface for gradient preconditioning in pytorch K Osawa, S Ishikawa, R Yokota, S Li, T Hoefler arXiv preprint arXiv:2305.04684, 2023 | 10 | 2023 |
| Understanding gradient regularization in deep learning: Efficient finite-difference computation and implicit bias R Karakida, T Takase, T Hayase, K Osawa International Conference on Machine Learning, 15809-15827, 2023 | 9 | 2023 |
| Performance optimizations and analysis of distributed deep learning with approximated second-order optimization method Y Tsuji, K Osawa, Y Ueno, A Naruse, R Yokota, S Matsuoka Workshop Proceedings of the 48th International Conference on Parallel …, 2019 | 7 | 2019 |
| Second-order Optimization Method for Large Mini-batch: Training ResNet-50 on ImageNet in 35 Epochs.(2018) K Osawa, Y Tsuji, Y Ueno, A Naruse, R Yokota, S Matsuoka arXiv preprint arXiv:1811.12019, 2018 | 5 | 2018 |
| Evaluating the compression efficiency of the filters in convolutional neural networks K Osawa, R Yokota Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 5 | 2017 |
| Improving Continual Learning by Accurate Gradient Reconstructions of the Past E Daxberger, S Swaroop, K Osawa, R Yokota, RE Turner, ... Transactions on Machine Learning Research, 2023 | 1 | 2023 |
| Efficient cluster mapping for conditions of weather based on combination of self-organizing map and hierarchical clustering K Osawa, K Kamei, M Ishikawa IEICE Technical Report; IEICE Tech. Rep. 119 (453), 213-218, 2020 | 1 | 2020 |
| Accelerating Convolutional Neural Networks Using Low-Rank Tensor Decomposition K Osawa, A Sekiya, H Naganuma, R Yokota IEICE Technical Report; IEICE Tech. Rep. 117 (238), 1-6, 2017 | | 2017 |
| Examination about the salt solution filling packing method of sea urchin (Strongylocentrotus nudus) gonad K Osawa, Y Kado, N Notoya, M Koizumi, S Ishikawa Report of Aomori Prefectural Local Food Research Center (Japan), 2004 | | 2004 |
| Research and development of new processed foods M Koizumi, S Ishikawa, N Notoya, Y Kado, K Osawa Report of Aomori Prefectural Local Food Research Center (Japan), 2004 | | 2004 |
| Effect of calcium ion on gelation of meat of scallop (Patinopecten yessoensis) Y Kado, N Notoya, K Osawa, M Koizumi, S Ishikawa Report of Aomori Prefectural Local Food Research Center (Japan), 2004 | | 2004 |
Rio YokotaProfessor, Tokyo Institute of TechnologyVerified email at gsic.titech.ac.jp
