Arthur Choi
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #14,434 of 35,345 by trust here, #30,347 by citations
- Safety, Robustness & Interpretability — 5 citations into it
Whom Arthur Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Arthur Choi overall
Papers from Arthur Choi's perspective
Ordered by how strongly the researchers Arthur Choi trusts endorse each paper. Same corpus, a different order for every researcher.
- Anchors: High-Precision Model-Agnostic Explanations
- A Unified Approach to Interpreting Model Predictions
- Decomposable negation normal form (JACM)
- Nothing Else Matters: Model-Agnostic Explanations By Identifying Prediction Invariance
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- A Symbolic Approach to Explaining Bayesian Network Classifiers (2018) — 291 citations