Francis Maes

Artificial Intelligence · 2009–2012

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Reinforcement Learning — 9 citations into it
• Natural Language Processing — 5 citations into it

Whom Francis Maes trusts overall

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

1. Michael Collins
2. Hal Daumé Iii
3. Richard S. Sutton
4. David E. Goldberg
5. Andrew Barto
6. John D. Lafferty
7. Kenneth O. Stanley
8. B. Taskar
9. Adam L. Berger
10. Peter Auer

Who trusts Francis Maes overall

1. Chao Yu
2. Nicolas Usunier
3. Yashesh D. Dhebar
4. Ximing Lu
5. Dzmitry Bahdanau
6. Daniel Hein
7. Gabriel Synnaeve
8. Jiming Liu
9. Kalyanmoy Deb

Papers from Francis Maes's perspective

Ordered by how strongly the researchers Francis Maes 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Reinforcement Learning: An Introduction
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Structured prediction with reinforcement learning (2009) — 34 citations
• Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning (2012) — 30 citations