Alyssa Pierson

2019

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

Papers from Alyssa Pierson's perspective

Ordered by how strongly the researchers Alyssa Pierson trusts endorse each paper. Same corpus, a different order for every researcher.

1. Generative Adversarial Imitation Learning
2. Market Structure and Equilibrium
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. ImageNet classification with deep convolutional neural networks
8. Learning Multiple Layers of Features from Tiny Images
9. Gradient-based learning applied to document recognition
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Social behavior for autonomous vehicles (2019) — 218 citations