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Kazuki Yoshizoe

2 accepted papers

2021

Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design

ICLR 2021poster

It is common practice to use large computational resources to train neural networks, known from many examples, such as reinforcement learning applications. However, while massively parallel computing is often used for training models, it is rarely used to search solutions for combinatorial optimizat…

Cited by 30SourcePDFScholar
2020

Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation

ECCV 2020poster

Data augmentation methods are indispensable heuristics to boost the performance of deep neural networks, especially in image recognition tasks. Recently, several studies have shown that augmentation strategies found by search algorithms outperform hand-made strategies. Such methods employ black-box…