Charles Corbière

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Charles Corbière trusts overall

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

1. Yann LeCun
2. Yarin Gal
3. Alex Kendall
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Kaiming He
7. Yoshua Bengio
8. Ilya Sutskever
9. Ross B. Girshick
10. Diederik P. Kingma

Who trusts Charles Corbière overall

1. Yangjun Zhang
2. Tz-Ying Wu
3. Moloud Abdar
4. Pengjie Ren

Papers from Charles Corbière's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Addressing Failure Prediction by Learning Model Confidence (2019) — 369 citations