Lei Le

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #20,405 of 35,345 by trust here, #25,809 by citations
• Representation & Self-Supervised Learning — 6 citations into it; #2,054 of 3,145 by trust here, #2,691 by citations
• Model Architectures — 5 citations into it
• Reinforcement Learning — 5 citations into it; #1,462 of 2,242 by trust here, #1,932 by citations

Whom Lei Le trusts overall

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

1. Richard S. Sutton
2. Diederik P. Kingma
3. Alireza Makhzani
4. Yoshua Bengio
5. Kaiming He
6. Geoffrey E. Hinton
7. Martha White
8. Alex Krizhevsky
9. Yann LeCun
10. Jimmy Ba

Who trusts Lei Le overall

1. Lucas Caccia
2. Khurram Javed
3. Mohamed Elsayed

Papers from Lei Le's perspective

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

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

Their papers

• The Utility of Sparse Representations for Control in Reinforcement Learning (2018) — 68 citations