3 citations · 19 across the 12 of their papers we have counts for
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stat.ML2023
Generalization Bounds for Set-to-Set Matching with Negative Sampling
Masanari Kimura
The problem of matching two sets of multiple elements, namely set-to-set matching, has received a great deal of attention in recent years. In particular, it has been reported that…
stat.ML2022★ 1 cited
Information Geometry of Dropout Training
Masanari Kimura, Hideitsu Hino
Dropout is one of the most popular regularization techniques in neural network training. Because of its power and simplicity of idea, dropout has been analyzed extensively and many…
stat.ML2020★ 2 cited
Why Mixup Improves the Model Performance
Masanari Kimura
Machine learning techniques are used in a wide range of domains. However, machine learning models often suffer from the problem of over-fitting. Many data augmentation methods have…