Yuhang Song

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it
• Reinforcement Learning — 86 citations into it
• Model Architectures — 6 citations into it

Whom Yuhang Song trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Marc G. Bellemare
4. Yoshua Bengio
5. J. Urgen Schmidhuber
6. Diederik P. Kingma
7. John Schulman
8. Alex Krizhevsky
9. Sergey Ioffe
10. Yann LeCun

Who trusts Yuhang Song overall

1. Sven Gronauer
2. Pablo Hernandez-Leal
3. Arthur Juliani
4. Klaus-Jürgen Diepold
5. Bilal Kartal

Papers from Yuhang Song's perspective

Ordered by how strongly the researchers Yuhang Song 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence (2019) — 37 citations
• Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards (2019) — 19 citations