Sao Mai Nguyen

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 4 papers; trusts 63 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #22,104 of 35,345 by trust here, #27,551 by citations
• Control and Systems Engineering — 40 citations into it; #4,670 of 8,257 by trust here, #5,490 by citations
• Reinforcement Learning — 35 citations into it
• Cognitive Neuroscience — 19 citations into it
• Social Psychology — 18 citations into it
• Developmental and Educational Psychology — 15 citations into it; #3,692 of 8,223 by trust here, #4,447 by citations
• Cognitive Science & Psychology — 13 citations into it; #550 of 582 by trust here, #498 by citations
• Robotics & Control — 13 citations into it; #561 of 609 by trust here, #555 by citations

Whom Sao Mai Nguyen trusts overall

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

1. Pierre-Yves Oudeyer
2. Manuel Lopes
3. Adrien Baranes
4. Andrew Barto
5. Edward L. Deci
6. J. Urgen Schmidhuber
7. Richard M. Ryan
8. Stefan Schaal
9. Marius Muja
10. Jan Peters

Who trusts Sao Mai Nguyen overall

1. Pierre-Yves Oudeyer
2. Adrien Baranes
3. Clément Moulin-Frier
4. Manuel Lopes
5. Brenden M. Lake
6. Sébastien Forestier
7. Adrien Laversanne-Finot
8. Jacqueline Gottlieb

Papers from Sao Mai Nguyen's perspective

Ordered by how strongly the researchers Sao Mai Nguyen 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. Reinforcement Learning: An Introduction
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Active choice of teachers, learning strategies and goals for a socially guided intrinsic motivation learner (2012) — 54 citations
• Self-organization of early vocal development in infants and machines: the role of intrinsic motivation (2014) — 170 citations
• Socially guided intrinsic motivation for robot learning of motor skills (2013) — 61 citations
• Bootstrapping intrinsically motivated learning with human demonstration (2011) — 26 citations