Yang Yu

Artificial Intelligence · 1 papers · 2022

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Reinforcement Learning — 18 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yang Yu trusts overall

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

1. Pieter Abbeel
2. Diederik P. Kingma
3. Chelsea Finn
4. Sergey Levine
5. Geoffrey E. Hinton
6. Kaiming He
7. John Schulman
8. Yoshua Bengio
9. Richard S. Sutton
10. Alex Krizhevsky

Papers from Yang Yu's perspective

Ordered by how strongly the researchers Yang 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
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. Going deeper with convolutions

Their papers

• Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy (2022) — 45 citations