8 citations · 27 across the 10 of their papers we have counts for
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cs.LG2022
An Interpretable Neuron Embedding for Static Knowledge Distillation
Wei Han, Yangqiming Wang, Christian Böhm +1
Although deep neural networks have shown well-performance in various tasks, the poor interpretability of the models is always criticized. In the paper, we propose a new interpretab…
cs.LG2022★ 8 cited
Deep Clustering With Consensus Representations
Lukas Miklautz, Martin Teuffenbach, Pascal Weber +4
The field of deep clustering combines deep learning and clustering to learn representations that improve both the learned representation and the performance of the considered clust…