Yoshihide Sawada

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 25

Top Topics

Transfer Learning

Biologically Plausible

Top Venues

Trans. Mach. Learn. Res.

Publications

Fusataka Kuniyoshi, Yoshihide Sawada
Can Transformers Predict Vibrations? CoRR (2024)
Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024)
Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada
Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Ryuji Saiin, Tomoya Shirakawa, Sota Yoshihara, Yoshihide Sawada, Hiroyuki Kusumoto
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. Trans. Mach. Learn. Res. 2024 (2024)
Naoki Hayashi, Yoshihide Sawada
Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM. CoRR (2024)
Yoshihide Sawada, Ryuji Saiin, Kazuma Suetake
Magic for the Age of Quantized DNNs. CoRR (2024)
Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada
S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks. Neural Networks 159 (2023)
Ryuji Saiin, Tomoya Shirakawa, Sota Yoshihara, Yoshihide Sawada, Hiroyuki Kusumoto
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks. CoRR (2023)
Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. CoRR (2023)
Naoki Hayashi, Yoshihide Sawada
Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation. CoRR (2023)
Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada
Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training. CoRR (2023)
Yoshihide Sawada, Keigo Nakamura
Concept Bottleneck Model with Additional Unsupervised Concepts. CoRR (2022)
Masakazu Tobeta, Yoshihide Sawada, Ze Zheng, Sawa Takamuku, Naotake Natori
E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation. IROS (2022)
Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori
Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks. Sensors 22 (8) (2022)
Kazuma Suetake, Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada
NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks. CoRR (2022)
Yoshihide Sawada, Keigo Nakamura
C-SENN: Contrastive Self-Explaining Neural Network. CoRR (2022)
Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada, Naotake Natori
Rethinking the role of normalization and residual blocks for spiking neural networks. CoRR (2022)
Yoshihide Sawada, Keigo Nakamura
Concept Bottleneck Model With Additional Unsupervised Concepts. IEEE Access 10 (2022)
Yoshihide Sawada, Koji Morikawa, Mikiya Fujii
Study of Deep Generative Models for Inorganic Chemical Compositions. CoRR (2019)
Fusataka Kuniyoshi, Takuya Funatomi, Hiroyuki Kubo, Yoshihide Sawada, Yumiko O. Kato, Yasuhiro Mukaigawa
Visibility Enhancement by Integrating Refocusing and Direct-Global Separation with Contact Imaging. Int. J. Comput. Vis. 127 (8) (2019)
Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel D. Sellier, Yoshua Bengio
Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. CoRR (2019)
Yoshihide Sawada
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World. CoRR (2018)
Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification. CoRR (2017)
Yoshihide Sawada, Yoshikuni Sato, Toru Nakada, Kei Ujimoto, Nobuhiro Hayashi
All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification. ECAI (2016)
Yoshikuni Sato, Yoshihide Sawada, Toru Nakada, Tadayoshi Nonoyama, Masafumi Kubota, Yusuke Koie, Masaki Yasutake, Osamu Yamamura
Long-Time Sensor Data Analysis for Estimation of Physical Capacity. ECAI (2016)
Yoshihide Sawada, Kazuki Kozuka
Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset. MVA (2015)
Yoshikuni Sato, Kazuki Kozuka, Yoshihide Sawada, Masaki Kiyono
Learning Multiple Complex Features Based on Classification Results. ICPR (2014)
Hidekata Hontani, Yuto Tsunekawa, Yoshihide Sawada
Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model. CVPR (2013)
Hidekata Hontani, Takamiti Matsuno, Yoshihide Sawada
Robust nonrigid ICP using outlier-sparsity regularization. CVPR (2012)
Yoshihide Sawada, Hidekata Hontani
A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model. MICCAI (2) (2012)
Yoshihide Sawada, Hidekata Hontani
A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image. MLMI (2011)
Hidekata Hontani, Yoshihide Sawada
Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images. ICPR (2008)