Megan Kurka
2017
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Megan Kurka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Megan Kurka overall
Papers from Megan Kurka's perspective
Ordered by how strongly the researchers Megan Kurka trusts endorse each paper. Same corpus, a different order for every researcher.
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Towards A Rigorous Science of Interpretable Machine Learning
- The Elements of Statistical Learning
- Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
- Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Intriguing properties of neural networks
- ImageNet: A large-scale hierarchical image database
Their papers
- Machine Learning Interpretability with H 2 O Driverless (2017) — 28 citations