Takeru Miyato - RankMe

31 papers A* 7Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Artificial Kuramoto Oscillatory Neurons. ICLR Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling
2025	J	`jnl`	Kuramoto Orientation Diffusion Models. CoRR Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling
2024	J	`jnl`	Artificial Kuramoto Oscillatory Neurons. CoRR Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling
2024	A*	`conf`	GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. ICLR Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
2024	A*	`conf`	Neural Fourier Transform: A General Approach to Equivariant Representation Learning. ICLR Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
2023	J	`jnl`	GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. CoRR Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
2023	J	`jnl`	Neural Fourier Transform: A General Approach to Equivariant Representation Learning. CoRR Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
2022	J	`jnl`	Invariance-adapted decomposition and Lasso-type contrastive learning. CoRR Masanori Koyama, Takeru Miyato, Kenji Fukumizu
2022	A*	`conf`	Unsupervised Learning of Equivariant Structure from Sequences. NeurIPS Takeru Miyato, Masanori Koyama, Kenji Fukumizu
2022	J	`jnl`	Unsupervised Learning of Equivariant Structure from Sequences. CoRR Takeru Miyato, Masanori Koyama, Kenji Fukumizu
2021	J	`jnl`	Contrastive Representation Learning with Trainable Augmentation Channel. CoRR Masanori Koyama, Kentaro Minami, Takeru Miyato, Yarin Gal
2019	A*	`conf`	Robustness to Adversarial Perturbations in Learning from Incomplete Data. NeurIPS Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
2019	J	`jnl`	Robustness to Adversarial Perturbations in Learning from Incomplete Data. CoRR Amir Najafi, Shin-ichi Maeda, Masanori Koyama, Takeru Miyato
2019	—	`ch.`	Unsupervised Discrete Representation Learning. Explainable AI Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
2019	J	`jnl`	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
2018	J	`jnl`	Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration. CoRR Ryohei Suzuki, Masanori Koyama, Takeru Miyato, Taizan Yonetsuji
2018	—	`conf`	Neural Multi-scale Image Compression. ACCV (6) Ken M. Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara
2018	J	`jnl`	Neural Multi-scale Image Compression. CoRR Ken Nakanishi, Shin-ichi Maeda, Takeru Miyato, Daisuke Okanohara
2018	—	`conf`	Spectral Normalization for Generative Adversarial Networks. ICLR Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
2018	J	`jnl`	Spectral Normalization for Generative Adversarial Networks. CoRR Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
2018	—	`conf`	cGANs with Projection Discriminator. ICLR (Poster) Takeru Miyato, Masanori Koyama
2018	J	`jnl`	cGANs with Projection Discriminator. CoRR Takeru Miyato, Masanori Koyama
2017	—	`conf`	Adversarial Training Methods for Semi-Supervised Text Classification. ICLR (Poster) Takeru Miyato, Andrew M. Dai, Ian J. Goodfellow
2017	J	`jnl`	Learning Discrete Representations via Information Maximizing Self Augmented Training. CoRR Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
2017	A*	`conf`	Learning Discrete Representations via Information Maximizing Self-Augmented Training. ICML Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
2017	J	`jnl`	Parameter Reference Loss for Unsupervised Domain Adaptation. CoRR Jiren Jin, Richard G. Calland, Takeru Miyato, Brian K. Vogel, Hideki Nakayama
2017	J	`jnl`	Spectral Norm Regularization for Improving the Generalizability of Deep Learning. CoRR Yuichi Yoshida, Takeru Miyato
2017	—	`conf`	Synthetic Gradient Methods with Virtual Forward-Backward Networks. ICLR (Workshop) Takeru Miyato, Daisuke Okanohara, Shin-ichi Maeda, Masanori Koyama
2017	J	`jnl`	Virtual Adversarial Training: a Regularization Method for Supervised and Semi-supervised Learning. CoRR Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Shin Ishii
2016	A*	`conf`	Distributional Smoothing by Virtual Adversarial Examples. ICLR (Poster) Takeru Miyato, Shin-ichi Maeda, Masanori Koyama, Ken Nakae, Shin Ishii
2016	J	`jnl`	Virtual Adversarial Training for Semi-Supervised Text Classification. CoRR Takeru Miyato, Andrew M. Dai, Ian J. Goodfellow