Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension

By Hong-Jun Yoon, Sarah Robinson, J. B. Christian, John X. Qiu, Georgia D. Tourassi. 2018

16 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ting-Wu Chin
2. Diana Marculescu
3. Cha Zhang

Citations in the corpus

• Layer-compensated Pruning for Resource-constrained Convolutional Neural Networks (2018, methodology): “…et al., 2017), (cid:96) 2 of filter weights and filter weights of the next layer (Jiang et al., 2018), first-order Taylor expansion on the loss (Molchanov et al., 2017; Lin et al., 2018), Fisher information of the loss (Theis et al., 2018), and the variance of the max activation (Yoon et al., 2018).”