6 citations · 26 across the 32 of their papers we have counts for
Showing 2020 · cs.LGShow all
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cs.LG2020
Random Embeddings with Optimal Accuracy
Maciej Skorski
This work constructs Jonson-Lindenstrauss embeddings with best accuracy, as measured by variance, mean-squared error and exponential concentration of the length distortion. Lower b…
cs.LG2020
Efficient Sampled Softmax for Tensorflow
Maciej Skorski
This short paper discusses an efficient implementation of \emph{sampled softmax loss} for Tensorflow. The speedup over the default implementation is achieved due to simplification…
cs.LG2020
Revisiting Initialization of Neural Networks
Maciej Skorski, Alessandro Temperoni, Martin Theobald
The proper initialization of weights is crucial for the effective training and fast convergence of deep neural networks (DNNs). Prior work in this area has mostly focused on balanc…