Automatic Rule Extraction from Long Short Term Memory Networks. - W. James Murdoch; Arthur Szlam (ICLR (Poster), 2017)

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs. - W. James Murdoch; Peter J. Liu; Bin Yu 001 (ICLR, 2018)

Hierarchical interpretations for neural network predictions. - Chandan Singh; W. James Murdoch; Bin Yu 001 (ICLR (Poster), 2019)

Interpretable machine learning: definitions, methods, and applications. - W. James Murdoch; Chandan Singh; Karl Kumbier; Reza Abbasi-Asl; Bin Yu 001 (CoRR, 2019)

Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees. - Summer Devlin; Chandan Singh; W. James Murdoch; Bin Yu 001 (CoRR, 2019)

Interpretable deep learning for natural language processing. - W. James Murdoch (2019)

Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge. - Laura Rieger; Chandan Singh; W. James Murdoch; Bin Yu 001 (ICML, 2020)