Lennox Leary

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #30,379 of 35,345 by trust here, #12,083 by citations
• Optimization & Training — 14 citations into it
• Model Architectures — 13 citations into it; #1,927 of 2,278 by trust here, #1,168 by citations
• Computer Vision and Pattern Recognition — 11 citations into it; #18,664 of 21,575 by trust here, #8,409 by citations

Whom Lennox Leary trusts overall

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

1. Kaiming He
2. Yoshua Bengio
3. Diederik P. Kingma
4. X. Zhang
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Shaoqing Ren
8. Xavier Glorot
9. Ilya Sutskever
10. Christian Szegedy

Who trusts Lennox Leary overall

1. Yann Dauphin

Papers from Lennox Leary's perspective

Ordered by how strongly the researchers Lennox Leary 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. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The Shattered Gradients Problem: If resnets are the answer, then what is the question? (2017) — 465 citations