no code implementations • 29 Jul 2019 • Dylan Cashman, Genevieve Patterson, Abigail Mosca, Nathan Watts, Shannon Robinson, Remco Chang
RNNbow is a web application that displays the relative gradient contributions from Recurrent Neural Network (RNN) cells in a neighborhood of an element of a sequence.
2 code implementations • 8 Feb 2019 • Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Tauman Kalai
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 Word Embeddings.
1 code implementation • 31 May 2018 • Jimmy Wu, Bolei Zhou, Diondra Peck, Scott Hsieh, Vandana Dialani, Lester Mackey, Genevieve Patterson
We propose DeepMiner, a framework to discover interpretable representations in deep neural networks and to build explanations for medical predictions.
1 code implementation • 13 Mar 2018 • Jimmy Wu, Diondra Peck, Scott Hsieh, Vandana Dialani, Constance D. Lehman, Bolei Zhou, Vasilis Syrgkanis, Lester Mackey, Genevieve Patterson
This work interprets the internal representations of deep neural networks trained for classification of diseased tissue in 2D mammograms.
1 code implementation • ECCV 2016 • Genevieve Patterson, James Hays
In this paper, we discover and annotate visual attributes for the COCO dataset.