Carl Lemaire

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 97 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #28,730 of 35,345 by trust here, #33,294 by citations
• Computer Vision and Pattern Recognition — 22 citations into it; #17,724 of 21,575 by trust here, #20,756 by citations
• Efficiency & Compression — 18 citations into it; #1,012 of 1,264 by trust here, #1,242 by citations
• Model Architectures — 9 citations into it
• Optimization & Training — 7 citations into it

Whom Carl Lemaire trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Yann LeCun
5. Alex Krizhevsky
6. M. A. Carreira-Perpiñán
7. Tom Véniat
8. Yoshua Bengio
9. Max Welling
10. Ilya Sutskever

Who trusts Carl Lemaire overall

1. Yang He
2. Jose Gallego-Posada
3. Yong Guo
4. Lingao Xiao
5. Juan Ramirez
6. Yin Zheng

Papers from Carl Lemaire's perspective

Ordered by how strongly the researchers Carl Lemaire 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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Structured Pruning of Neural Networks With Budget-Aware Regularization (2018) — 99 citations