5 citations · 5 across the 1 of their papers we have counts for
3 papers
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks
Dylan Cashman, Genevieve Patterson, Abigail Mosca +3
We present RNNbow, an interactive tool for visualizing the gradient flow during backpropagation training in recurrent neural networks. RNNbow is a web application that displays the…
Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops
Limor Gultchin, Genevieve Patterson, Nancy Baym +2
While humor is often thought to be beyond the reach of Natural Language Processing, we show that several aspects of single-word humor correlate with simple linear directions in Wor…
Expert identification of visual primitives used by CNNs during mammogram classification
Jimmy Wu, Diondra Peck, Scott Hsieh +6
This work interprets the internal representations of deep neural networks trained for classification of diseased tissue in 2D mammograms. We propose an expert-in-the-loop interpret…