Tomoumi Takase

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Adaptive Learning Rate

Stochastic Optimization

Top Venues

Publications

Tomoumi Takase
Feature combination mixup: novel mixup method using feature combination for neural networks. Neural Comput. Appl. 35 (17) (2023)
Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. ICML (2023)
Tomoumi Takase
A Collaborative Training Using Crowdsourcing and Neural Networks on Small and Difficult Image Classification Datasets. SN Comput. Sci. 3 (2) (2022)
Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. CoRR (2022)
Tomoumi Takase, Ryo Karakida, Hideki Asoh
Self-paced data augmentation for training neural networks. Neurocomputing 442 (2021)
Tomoumi Takase
Dynamic batch size tuning based on stopping criterion for neural network training. Neurocomputing 429 (2021)
Suguru Kanoga, Tomoumi Takase, Takayuki Hoshino, Hideki Asoh
Time-domain Mixup Source Data Augmentation of sEMGs for Motion Recognition towards Efficient Style Transfer Mapping. EMBC (2021)
Tomoumi Takase, Ryo Karakida, Hideki Asoh
Self-paced Data Augmentation for Training Neural Networks. CoRR (2020)
Tomoumi Takase
Difficulty-weighted learning: A novel curriculum-like approach based on difficult examples for neural network training. Expert Syst. Appl. 135 (2019)
Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
Evaluation of Stratified Validation in Neural Network Training with Imbalanced Data. BigComp (2019)
Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima
Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges. AAAI (2018)
Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
Effective neural network training with adaptive learning rate based on training loss. Neural Networks 101 (2018)
Masahito Kurihara, Satoshi Oyama, Tomoumi Takase
Longer Distance Weight Prediction for Faster Training of Neural Networks. SMC (2018)
Tomoumi Takase, Satoshi Oyama, Masahito Kurihara
Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization. Neural Comput. 30 (7) (2018)