Haiman Tian

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 67 citations into it
• Computer Vision and Pattern Recognition — 65 citations into it
• Natural Language Processing — 18 citations into it
• Optimization & Training — 14 citations into it
• ML Systems & Hardware — 5 citations into it

Whom Haiman Tian trusts overall

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

1. Geoffrey E. Hinton
2. Ross B. Girshick
3. Yann LeCun
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Ilya Sutskever
8. Diederik P. Kingma
9. Alex Graves
10. Karen Simonyan

Papers from Haiman Tian's perspective

Ordered by how strongly the researchers Haiman Tian 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey on Deep Learning (2018) — 912 citations