Tyler Lee

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #33,588 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Scaling & Learning Theory — 8 citations into it
• Statistical and Nonlinear Physics — 5 citations into it; #9,506 of 10,127 by trust here, #9,682 by citations

Whom Tyler Lee trusts overall

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

1. Bernard Derrida
2. Andrew Kyle Lampinen
3. Geoffrey E. Hinton
4. Surya Ganguli
5. R. Caruana
6. Yoshua Bengio
7. Alex Krizhevsky
8. Yann LeCun
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Tyler Lee overall

1. Michael Crawshaw

Papers from Tyler Lee's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Generalization in multitask deep neural classifiers: a statistical physics approach (2019) — 21 citations