Shawn Beaulieu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Shawn Beaulieu trusts overall

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

1. Yoshua Bengio
2. Jeff Clune
3. Geoffrey E. Hinton
4. Kenneth O. Stanley
5. Alex Krizhevsky
6. Davide Maltoni
7. Thomas Miconi
8. Vincenzo Lomonaco
9. J. Urgen Schmidhuber
10. Diederik P. Kingma

Who trusts Shawn Beaulieu overall

1. Jeff Clune
2. Seyed Iman Mirzadeh
3. Lucas Caccia
4. Jorge Armando Mendez Mendez
5. K. J. Joseph
6. Krishnan Raghavan
7. Julio Hurtado
8. Arslan Chaudhry
9. Murray Shanahan
10. Eugene Lee

Papers from Shawn Beaulieu's perspective

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

Their papers

• Learning to Continually Learn (2020) — 166 citations