Maëlys Robert

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #17,703 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 11 citations into it; #28,839 of 35,345 by trust here, #33,294 by citations
• Efficiency & Compression — 6 citations into it

Whom Maëlys Robert trusts overall

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

1. Yann LeCun
2. Yunchao Gong
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Andrew Zisserman
7. Karen Simonyan
8. Herv'e J'egou
9. Ilya Sutskever
10. L. Eon Bottou

Who trusts Maëlys Robert overall

1. Bharat Bhusan Sau

Papers from Maëlys Robert's perspective

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

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

Their papers

• Compression of Deep Neural Networks on the Fly (2015) — 26 citations