Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks

Takuro Kutsuna. Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks. In Ulf Brefeld, Élisa Fromont, Andreas Hotho, Arno J. Knobbe, Marloes H. Maathuis, Céline Robardet, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II. Volume 11907 of Lecture Notes in Computer Science, pages 266-282, Springer, 2019. [doi]

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