W. James Murdoch

According to our database, W. James Murdoch authored at least 7 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge.

Laura Rieger, Chandan Singh, W. James Murdoch, Bin Yu

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Interpretable deep learning for natural language processing.

W. James Murdoch

PhD thesis, 2019

Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees.

Summer Devlin, Chandan Singh, W. James Murdoch, Bin Yu

CoRR, 2019

Interpretable machine learning: definitions, methods, and applications.

W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, Bin Yu

CoRR, 2019

Hierarchical interpretations for neural network predictions.

Chandan Singh, W. James Murdoch, Bin Yu

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs.

W. James Murdoch, Peter J. Liu, Bin Yu

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Automatic Rule Extraction from Long Short Term Memory Networks.

W. James Murdoch, Arthur Szlam

Proceedings of the 5th International Conference on Learning Representations, 2017