All Stories

  1. Difficulty-weighted learning: A novel curriculum-like approach based on difficult examples for neural network training

    Article • Expert Systems with Applications, November 2019, Elsevier

    Tomoumi Takase

  2. Why Does Large Batch Training Result in Poor Generalization? A Comprehensive Explanation and a Better Strategy from the Viewpoint of Stochastic Optimization

    Article • Neural Computation, July 2018, The MIT Press

    Tomoumi Takase, Satoshi Oyama

  3. Effective neural network training with adaptive learning rate based on training loss

    Article • Neural Networks, May 2018, Elsevier

    Tomoumi Takase

  4. Multi-Emotion Estimation in Narratives from Crowdsourced Annotations

    Article • June 2015, ACM (Association for Computing Machinery)

    Tomoumi Takase, Satoshi Oyama

  5. Learning an accurate entity resolution model from crowdsourced labels

    Article • January 2014, ACM (Association for Computing Machinery)

    Tomoumi Takase