47 citations · 109 across the 14 of their papers we have counts for
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cs.LG2017★ 3 cited
Towards Visual Explanations for Convolutional Neural Networks via Input Resampling
Benjamin J. Lengerich, Sandeep Konam, Eric P. Xing +2
The predictive power of neural networks often costs model interpretability. Several techniques have been developed for explaining model outputs in terms of input features; however,…
stat.ML2017★ 15 cited
Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Benjamin J. Lengerich, Andrew L. Maas, Christopher Potts
Knowledge graphs are a versatile framework to encode richly structured data relationships, but it can be challenging to combine these graphs with unstructured data. Methods for ret…