Tomoumi Takase

17 papers A* 2B 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Optimal layer selection for latent data augmentation. Neural Networks Tomoumi Takase, Ryo Karakida
2024	B	`conf`	Affinity-Weighted RandAugment for Problem-Oriented Augmentation. IJCNN Yuna Park, Tomoumi Takase, Keisuke Kameyama, Masaki Onishi
2024	J	`jnl`	Optimal Layer Selection for Latent Data Augmentation. CoRR Tomoumi Takase, Ryo Karakida
2023	J	`jnl`	Feature combination mixup: novel mixup method using feature combination for neural networks. Neural Comput. Appl. Tomoumi Takase
2023	A*	`conf`	Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. ICML Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa
2022	J	`jnl`	A Collaborative Training Using Crowdsourcing and Neural Networks on Small and Difficult Image Classification Datasets. SN Comput. Sci. Tomoumi Takase
2022	J	`jnl`	Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. CoRR Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa
2021	J	`jnl`	Dynamic batch size tuning based on stopping criterion for neural network training. Neurocomputing Tomoumi Takase
2021	J	`jnl`	Self-paced data augmentation for training neural networks. Neurocomputing Tomoumi Takase, Ryo Karakida, Hideki Asoh
2021	—	`conf`	Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping. EMBC Suguru Kanoga, Tomoumi Takase, Takayuki Hoshino, Hideki Asoh
2020	J	`jnl`	Self-paced Data Augmentation for Training Neural Networks. CoRR Tomoumi Takase, Ryo Karakida, Hideki Asoh
2019	J	`jnl`	Difficulty-weighted learning: A novel curriculum-like approach based on difficult examples for neural network training. Expert Syst. Appl. Tomoumi Takase
2019	—	`conf`	Evaluation of Stratified Validation in Neural Network Training with Imbalanced Data. BigComp Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
2018	A*	`conf`	Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. AAAI Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima
2018	J	`jnl`	Effective neural network training with adaptive learning rate based on training loss. Neural Networks Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
2018	B	`conf`	Longer Distance Weight Prediction for Faster Training of Neural Networks. SMC Masahito Kurihara, Satoshi Oyama, Tomoumi Takase
2018	J	`jnl`	Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization. Neural Comput. Tomoumi Takase, Satoshi Oyama, Masahito Kurihara