Lucy R. Chai

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 403 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Optimization & Training — 7 citations into it
• Model Architectures — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Lucy R. Chai trusts overall

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

1. Alex Krizhevsky
2. Yarin Gal
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Kaiming He
6. Karen Simonyan
7. Michael I. Jordan
8. Matthew D. Zeiler
9. Yoshua Bengio
10. Diederik P. Kingma

Papers from Lucy R. Chai's perspective

Ordered by how strongly the researchers Lucy R. Chai 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Uncertainty Estimation in Bayesian Neural Networks And Links to Interpretability (2018)