259 citations · 298 across the 21 of their papers we have counts for
4 papers · 1 filter
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play
Shi Feng, Jordan Boyd-Graber
Machine learning is an important tool for decision making, but its ethical and responsible application requires rigorous vetting of its interpretability and utility: an understudie…
Interpreting Neural Networks With Nearest Neighbors
Eric Wallace, Shi Feng, Jordan Boyd-Graber
Local model interpretation methods explain individual predictions by assigning an importance value to each input feature. This value is often determined by measuring the change in…
Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
Eric Wallace, Pedro Rodriguez, Shi Feng +2
Adversarial evaluation stress tests a model's understanding of natural language. While past approaches expose superficial patterns, the resulting adversarial examples are limited i…
Pathologies of Neural Models Make Interpretations Difficult
Shi Feng, Eric Wallace, Alvin Grissom +3
One way to interpret neural model predictions is to highlight the most important input features---for example, a heatmap visualization over the words in an input sentence. In exist…