Albert Yu

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it
• Reinforcement Learning — 74 citations into it
• Control and Systems Engineering — 42 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Robotics & Control — 21 citations into it

Whom Albert Yu trusts overall

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

1. Sergey Levine
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Chelsea Finn
5. Richard S. Sutton
6. Pieter Abbeel
7. Alex Krizhevsky
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Who trusts Albert Yu overall

1. Rafael Figueiredo Prudencio

Papers from Albert Yu's perspective

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

Their papers

• Parrot: Data-Driven Behavioral Priors for Reinforcement Learning (2020) — 172 citations
• COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning (2020) — 116 citations