Canyu Le

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Representation & Self-Supervised Learning — 15 citations into it
• Optimization & Training — 5 citations into it

Whom Canyu Le trusts overall

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

1. Diederik P. Kingma
2. William S. Dorn
3. Zhizhong Li
4. Rahaf Aljundi
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Alex Nichol
9. Yoshua Bengio
10. Kaiming He

Papers from Canyu Le's perspective

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

Their papers

• Learning Continually from Low-shot Data Stream (2019) — 4 citations