Yoshihide Sawada

Orcid: 0000-0001-7267-8660

According to our database1, Yoshihide Sawada authored at least 27 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Synaptic Interaction Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks.
Trans. Mach. Learn. Res., 2024

Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks.
Trans. Mach. Learn. Res., 2024

Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training.
Trans. Mach. Learn. Res., 2024

Magic for the Age of Quantized DNNs.
CoRR, 2024

Upper Bound of Bayesian Generalization Error in Partial Concept Bottleneck Model (CBM): Partial CBM outperforms naive CBM.
CoRR, 2024

Can Transformers Predict Vibrations?
CoRR, 2024

2023
S3NN: Time step reduction of spiking surrogate gradients for training energy efficient single-step spiking neural networks.
Neural Networks, February, 2023

Bayesian Generalization Error in Linear Neural Networks with Concept Bottleneck Structure and Multitask Formulation.
CoRR, 2023

Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks.
CoRR, 2023

2022
Rethinking the Role of Normalization and Residual Blocks for Spiking Neural Networks.
Sensors, 2022

C-SENN: Contrastive Self-Explaining Neural Network.
CoRR, 2022

S<sup>2</sup>NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Neural Networks.
CoRR, 2022

Concept Bottleneck Model With Additional Unsupervised Concepts.
IEEE Access, 2022

E2Pose: Fully Convolutional Networks for End-to-End Multi-Person Pose Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2019
Visibility Enhancement by Integrating Refocusing and Direct-Global Separation with Contact Imaging.
Int. J. Comput. Vis., 2019

Study of Deep Generative Models for Inorganic Chemical Compositions.
CoRR, 2019

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures.
CoRR, 2019

2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World.
CoRR, 2018

2016
All-Transfer Learning for Deep Neural Networks and Its Application to Sepsis Classification.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Long-Time Sensor Data Analysis for Estimation of Physical Capacity.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015
Transfer learning method using multi-prediction deep Boltzmann machines for a small scale dataset.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014
Learning Multiple Complex Features Based on Classification Results.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A Study on Graphical Model Structure for Representing Statistical Shape Model of Point Distribution Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Robust nonrigid ICP using outlier-sparsity regularization.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2008
Stability evaluation of a classifier for detecting abdominal tumors in FDG-PET/CT images.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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