Pierre Foret

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 119 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 75 citations into it; #22,972 of 35,345 by trust here, #12,244 by citations
• Computer Vision and Pattern Recognition — 49 citations into it; #14,204 of 21,575 by trust here, #8,502 by citations
• Optimization & Training — 35 citations into it; #1,901 of 2,601 by trust here, #1,313 by citations
• Natural Language Processing — 32 citations into it
• Model Architectures — 13 citations into it

Whom Pierre Foret trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Christian Szegedy
5. Yoshua Bengio
6. Alex Krizhevsky
7. Sergey Ioffe
8. Quoc V. Le
9. Ilya Sutskever
10. Yann LeCun

Who trusts Pierre Foret overall

1. Andrew Brock
2. Kaede Shiohara
3. Xiangning Chen
4. Jean Kaddour
5. Jing Liu
6. Kin Wai Lau
7. Jungmin Kwon
8. Sanket Vaibhav Mehta
9. Mitchell Wortsman
10. Stanislav Fort

Papers from Pierre Foret's perspective

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

Their papers

• Sharpness-Aware Minimization for Efficiently Improving Generalization (2020) — 2,017 citations
• A Multilingual View of Unsupervised Machine Translation (2020) — 40 citations