Eric Zhan

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 Eric Zhan 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. Individualized Treat
6. Jimmy Ba
7. Alex Krizhevsky
8. Max Welling
9. Alex Graves
10. Yann LeCun

Who trusts Eric Zhan overall

1. Chen Sun
2. Per Karlsson
3. Sergiu Oprea
4. Andrea Tacchetti
5. Jiajun Wu
6. Yunqi Zhao
7. Jiyang Gao
8. Andrey Rudenko

Papers from Eric Zhan's perspective

Ordered by how strongly the researchers Eric Zhan 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. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (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