Vinh-Dieu Lam

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it
• Reinforcement Learning — 26 citations into it; #2,097 of 2,242 by trust here, #1,253 by citations
• Artificial Intelligence — 25 citations into it; #32,160 of 35,345 by trust here, #11,750 by citations

Whom Vinh-Dieu Lam trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Yann LeCun

Who trusts Vinh-Dieu Lam overall

1. Edouard Leurent
2. Praveen Palanisamy

Papers from Vinh-Dieu Lam's perspective

Ordered by how strongly the researchers Vinh-Dieu Lam 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Et al
6. Gradient-based learning applied to document recognition
7. Asynchronous Methods for Deep Reinforcement Learning
8. Long Short-Term Memory
9. Backpropagation Applied to Handwritten Zip Code Recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning to Drive from Simulation without Real World Labels (2018) — 118 citations
• Learning to Drive in a Day (2018) — 800 citations