42 citations · 52 across the 4 of their papers we have counts for
6 papers
Visualizing and Explaining Language Models
Adrian M. P. Braşoveanu, Răzvan Andonie
During the last decade, Natural Language Processing has become, after Computer Vision, the second field of Artificial Intelligence that was massively changed by the advent of Deep…
Context-Sensitive Visualization of Deep Learning Natural Language Processing Models
Andrew Dunn, Diana Inkpen, Răzvan Andonie
The introduction of Transformer neural networks has changed the landscape of Natural Language Processing (NLP) during the last years. So far, none of the visualization systems has…
Learning in Feedforward Neural Networks Accelerated by Transfer Entropy
Adrian Moldovan, Angel Caţaron, Răzvan Andonie
Current neural networks architectures are many times harder to train because of the increasing size and complexity of the used datasets. Our objective is to design more efficient t…
Semiotic Aggregation in Deep Learning
Bogdan Musat, Razvan Andonie
Convolutional neural networks utilize a hierarchy of neural network layers. The statistical aspects of information concentration in successive layers can bring an insight into the…
Weighted Random Search for Hyperparameter Optimization
Adrian-Catalin Florea, Razvan Andonie
We introduce an improved version of Random Search (RS), used here for hyperparameter optimization of machine learning algorithms. Unlike the standard RS, which generates for each t…
Weighted Random Search for CNN Hyperparameter Optimization
Razvan Andonie, Adrian-Catalin Florea
Nearly all model algorithms used in machine learning use two different sets of parameters: the training parameters and the meta-parameters (hyperparameters). While the training par…