W. James Murdoch

1. Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
   2019/09/30 by Laura Rieger, Chandan Singh, Rieger, Laura +6 · 1 voice · 17 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #cs.CV #cs.LG #stat.ML
2. Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
   2018/01/16 by W. James Murdoch, William J. Murdoch, Murdoch, W. James +4 · 12 citations
   Computer Science · Mathematics · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling #cs.CL #cs.LG #stat.ML
3. Definitions, methods, and applications in interpretable machine learning
   2019/01/14 by W. James Murdoch, William J. Murdoch, Chandan Singh +3 · 1 voice · 6 citations
   Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Artificial intelligence #Categorization #Computer science #Context (archaeology) #Data science #Explainable Artificial Intelligence (XAI) #Focus (optics) #Interpretability #Interpretation (philosophy) #Machine Learning and Data Classification #Machine learning #Modularity (biology) #Vocabulary #cs.AI #cs.LG #stat.AP #stat.ML