Zhuozhuo Tu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Scaling & Learning Theory — 8 citations into it
• Model Architectures — 6 citations into it

Whom Zhuozhuo Tu trusts overall

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

1. Yoshua Bengio
2. Alex Graves
3. Tomas Mikolov
4. Ilya Sutskever
5. Razvan Pascanu
6. Geoffrey E. Hinton
7. Yarin Gal
8. Wojciech Zaremba
9. Yann LeCun
10. Diederik P. Kingma

Papers from Zhuozhuo Tu's perspective

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

Their papers

• Understanding Generalization in Recurrent Neural Networks (2020) — 34 citations