Long Sha

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it
• Computer Vision and Pattern Recognition — 43 citations into it
• Reinforcement Learning — 23 citations into it
• Generative Models — 22 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Long Sha trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Aäron van den Oord
4. Yoshua Bengio
5. Alex Krizhevsky
6. Individualized Treat
7. Jimmy Ba
8. Max Welling
9. Yann LeCun
10. Alex Graves

Who trusts Long Sha overall

1. Chen Sun

Papers from Long Sha's perspective

Ordered by how strongly the researchers Long Sha 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Generating Multi-Agent Trajectories using Programmatic Weak Supervision (2018) — 103 citations
• Generative Multi-Agent Behavioral Cloning (2018) — 41 citations