3 citations · 3 across the 2 of their papers we have counts for
3 papers
Uncertainty-aware Topic Modeling Visualization
Valerie Müller, Christian Sieg, Lars Linsen
Topic modeling is a state-of-the-art technique for analyzing text corpora. It uses a statistical model, most commonly Latent Dirichlet Allocation (LDA), to discover abstract topics…
The Impact of Activation Sparsity on Overfitting in Convolutional Neural Networks
Karim Huesmann, Luis Garcia Rodriguez, Lars Linsen +1
Overfitting is one of the fundamental challenges when training convolutional neural networks and is usually identified by a diverging training and test loss. The underlying dynamic…
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization
Karim Huesmann, Soeren Klemm, Lars Linsen +1
Overfitting is one of the most common problems when training deep neural networks on comparatively small datasets. Here, we demonstrate that neural network activation sparsity is a…