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researcher

W. James Murdoch

UC Berkeley

7 papers hereh-index 62.5k citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG2
  • stat.ML2
  • stat.CO1
affiliations
  • UC Berkeley
Homepage

identity via Semantic Scholar / OpenAlex

activity
20142019
most citedInterpretable machine learning: definitions, methods, and applications

2.2k citations · 2.6k across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2019★ 35 cited

Interpretations are useful: penalizing explanations to align neural networks with prior knowledge

Laura Rieger, Chandan Singh, W. James Murdoch +1

For an explanation of a deep learning model to be effective, it must provide both insight into a model and suggest a corresponding action in order to achieve some objective. Too of…

cs.LG2018★ 97 cited

Hierarchical interpretations for neural network predictions

Chandan Singh, W. James Murdoch, Bin Yu

Deep neural networks (DNNs) have achieved impressive predictive performance due to their ability to learn complex, non-linear relationships between variables. However, the inabilit…

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