Noel Loo

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Optimization & Training — 7 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Meta & Continual Learning — 6 citations into it

Whom Noel Loo trusts overall

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

1. Richard E. Turner
2. Geoffrey E. Hinton
3. Manfred Opper
4. Diederik P. Kingma
5. David Lopez-Paz
6. Yoshua Bengio
7. Alex Krizhevsky
8. Brian L. Trippe
9. Marc'Aurelio Ranzato
10. Yann LeCun

Who trusts Noel Loo overall

1. Zifeng Wang
2. Ta-Chu Kao
3. Haoxuan Qu
4. Zizhao Zhang
5. Hossein Rahmani
6. Kristopher T. Jensen
7. Jorge Armando Mendez Mendez

Papers from Noel Loo's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Generalized Variational Continual Learning (2020) — 75 citations