research
∙
02/03/2023
Leveraging weak complementary labels to improve semantic segmentation of hepatocellular carcinoma and cholangiocarcinoma in H E-stained slides
In this paper, we present a deep learning segmentation approach to class...
share
research
∙
01/14/2020
Balancing the composition of word embeddings across heterogenous data sets
Word embeddings capture semantic relationships based on contextual infor...
research
∙
06/19/2019
Explanations can be manipulated and geometry is to blame
Explanation methods aim to make neural networks more trustworthy and int...
research
∙
04/09/2019
Software and application patterns for explanation methods
Deep neural networks successfully pervaded many applications domains and...
research
∙
08/13/2018
iNNvestigate neural networks!
In recent years, deep neural networks have revolutionized many applicati...
research
∙
08/08/2018
Backprop Evolution
The back-propagation algorithm is the cornerstone of deep learning. Desp...
research
∙
11/02/2017
The (Un)reliability of saliency methods
Saliency methods aim to explain the predictions of deep neural networks....
research
∙
05/16/2017