Wang Bill Zhu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Wang Bill Zhu trusts overall

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

1. Andrew McCallum
2. Olcay Boz
3. Richard S. Sutton
4. Jimmy Ba
5. Mark W. Craven
6. William T. B. Uther

Papers from Wang Bill Zhu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Do Deep Nets Really Need to be Deep?
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. OpenAI Gym
7. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
8. Introduction to Reinforcement Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Toward Interpretable Deep Reinforcement Learning with Linear Model U-Trees (2018) — 157 citations