Yamada, Masanori

10 publications

ICLR 2025 Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods Akira Ito, Masanori Yamada, Atsutoshi Kumagai

ICML 2025 Linear Mode Connectivity Between Multiple Models Modulo Permutation Symmetries Akira Ito, Masanori Yamada, Atsutoshi Kumagai

NeurIPSW 2024 Concept Unlearning for Large Language Models Tomoya Yamashita, Takayuki Miura, Yuuki Yamanaka, Toshiki Shibahara, Masanori Yamada

ACML 2024 One-Shot Machine Unlearning with Mnemonic Code Tomoya Yamashita, Masanori Yamada, Takashi Shibata

ACML 2024 Toward Data Efficient Model Merging Between Different Datasets Without Performance Degradation Masanori Yamada, Tomoya Yamashita, Shin’ya Yamaguchi, Daiki Chijiwa

ICML 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

AAAI 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai, Yasutoshi Ida, Yasuhiro Fujiwara, Masanori Yamada, Shuichi Adachi

ACML 2020 Disentangled Representations for Sequence Data Using Information Bottleneck Principle Masanori Yamada, Heecheol Kim, Kosuke Miyoshi, Tomoharu Iwata, Hiroshi Yamakawa

AAAI 2019 Variational Autoencoder with Implicit Optimal Priors Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi

IJCAI 2018 Student-T Variational Autoencoder for Robust Density Estimation Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi