Yu Zhang

Artificial Intelligence · with Leonardis · 2020

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #31,355 of 35,345 by trust here, #30,347 by citations
• Safety, Robustness & Interpretability — 55 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it

Whom Yu Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Karen Simonyan
4. Alex Krizhevsky
5. Ilya Sutskever
6. Yann LeCun
7. Diederik P. Kingma
8. Kaiming He
9. Gordon D. Plotkin
10. Gregory Plumb

Who trusts Yu Zhang overall

1. Waddah Saeed
2. Christian Walter Peter Omlin

Papers from Yu Zhang's perspective

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

Their papers

• A Survey on Neural Network Interpretability (2020) — 932 citations