Emily Zhang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Emily Zhang trusts overall

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

1. Cynthia Dwork
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton

Papers from Emily Zhang's perspective

Ordered by how strongly the researchers Emily Zhang 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Going deeper with convolutions
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks (2020) — 63 citations