Shin'ya Yamaguchi

According to our database, Shin'ya Yamaguchi authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching.

Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda

CoRR, 2024

Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift.

Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi

CoRR, 2024

Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks.

Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi, Daiki Chijiwa

CoRR, 2024

2023

On the Limitation of Diffusion Models for Synthesizing Training Datasets.

Shin'ya Yamaguchi, Takuma Fukuda

CoRR, 2023

Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples.

Shin'ya Yamaguchi

CoRR, 2023

Revisiting Permutation Symmetry for Merging Models between Different Datasets.

Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa

CoRR, 2023

Regularizing Neural Networks with Meta-Learning Generative Models.

Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training.

Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida

Proceedings of the International Conference on Machine Learning, 2023

Covariance-Aware Feature Alignment with Pre-Computed Source Statistics for Test-Time Adaptation to Multiple Image Corruptions.

Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai

Proceedings of the IEEE International Conference on Image Processing, 2023

Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff.

Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Switching One-Versus-the-Rest Loss to Increase the Margin of Logits for Adversarial Robustness.

Sekitoshi Kanai, Shin'ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Yasutoshi Ida

CoRR, 2022

Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation.

Kazuki Adachi, Shin'ya Yamaguchi, Atsutoshi Kumagai

CoRR, 2022

Transfer Learning with Pre-trained Conditional Generative Models.

Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima

CoRR, 2022

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks.

Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Robust Convolutional Neural Networks with Relevant Feature Focusing Via Explanations.

Kazuki Adachi, Shin'ya Yamaguchi

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Pruning Randomly Initialized Neural Networks with Iterative Randomization.

Daiki Chijiwa, Shin'ya Yamaguchi, Yasutoshi Ida, Kenji Umakoshi, Tomohiro Inoue

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Constraining Logits by Bounded Function for Adversarial Robustness.

Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida

Proceedings of the International Joint Conference on Neural Networks, 2021

Image Enhanced Rotation Prediction for Self-Supervised Learning.

Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain.

Shin'ya Yamaguchi, Sekitoshi Kanai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Effective Data Augmentation with Multi-Domain Learning GANs.

Shin'ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multiple Pretext-Task for Self-Supervised Learning via Mixing Multiple Image Transformations.

Shin'ya Yamaguchi, Sekitoshi Kanai, Tetsuya Shioda, Shoichiro Takeda

CoRR, 2019

2017

A Fusion Technique of Schema and Syntax Rules for Validating Open Data.

Shin'ya Yamaguchi, Kimio Kuramitsu

Proceedings of the Advanced Topics in Intelligent Information and Database Systems,, 2017