Yao Zhang

Computer Vision and Pattern Recognition · with Becker · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 21 citations into it

Whom Yao Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Yoshua Bengio
4. Alex Krizhevsky
5. Yann LeCun
6. Diederik P. Kingma
7. Pascal Vincent
8. L. V. D. van der Maaten
9. Ross B. Girshick
10. David Berthelot

Who trusts Yao Zhang overall

1. Bernhard Schäfl

Papers from Yao Zhang's perspective

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

Their papers

• VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain (2020) — 346 citations
• Geometry of energy landscapes and the optimizability of deep neural networks (2018) — 33 citations