Andy Shih

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #14,435 of 35,345 by trust here, #2,668 by citations
• Safety, Robustness & Interpretability — 5 citations into it

Whom Andy Shih trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Marco Tulio Ribeiro
2. Adnan Darwiche
3. Sameer Singh
4. Carlos Guestrin
5. Scott M. Lundberg

Who trusts Andy Shih overall

1. Alexey Ignatiev
2. Adnan Darwiche
3. Nina Narodytska
4. Joao Marques-Silva
5. Yacine Izza

Papers from Andy Shih's perspective

Ordered by how strongly the researchers Andy Shih trusts endorse each paper. Same corpus, a different order for every researcher.

1. Anchors: High-Precision Model-Agnostic Explanations
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. A Unified Approach to Interpreting Model Predictions
4. ImageNet classification with deep convolutional neural networks
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Decomposable negation normal form (JACM)

Their papers

• On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
• A Symbolic Approach to Explaining Bayesian Network Classifiers (2018) — 291 citations