Michel Deudon

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #35,109 of 35,345 by trust here, #24,417 by citations
• Reinforcement Learning — 6 citations into it

Whom Michel Deudon trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Sergey Ioffe
4. Yoshua Bengio
5. Xavier Glorot
6. Elias Boutros Khalil
7. Jimmy Ba
8. Geoffrey E. Hinton
9. Christian Szegedy
10. Alex Krizhevsky

Who trusts Michel Deudon overall

1. Xinyun Chen
2. Chaitanya K. Joshi
3. Kaiwen Li
4. Alexandros Graikos
5. Nina Mazyavkina
6. Yaoxin Wu
7. Yuandong Tian
8. Thomas Laurent
9. Tao Zhang
10. Esmeralda S. Whitammer

Papers from Michel Deudon's perspective

Ordered by how strongly the researchers Michel Deudon 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Heuristics for the TSP by Policy Gradient (2018) — 381 citations