Douglas C. Merrill
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Douglas C. Merrill trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Douglas C. Merrill's perspective
Ordered by how strongly the researchers Douglas C. Merrill trusts endorse each paper. Same corpus, a different order for every researcher.
- Axiomatic Attribution for Deep Networks
- Scikit-learn: Machine Learning in Python
- A Unified Approach to Interpreting Model Predictions
- Consistent Individualized Feature Attribution for Tree Ensembles
- A Value for n-person Games
- XGBoost: A Scalable Tree Boosting System
- A Parallel Mixture of SVMs for Very Large Scale Problems
- Values of Non-Atomic Games
- ImageNet Large Scale Visual Recognition Challenge
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Generalized Integrated Gradients: A practical method for explaining diverse ensembles (2019) — 16 citations