Bin Cao

Artificial Intelligence · with Cai · 2017

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it; #23,969 of 35,345 by trust here, #18,586 by citations
• Natural Language Processing — 47 citations into it; #3,994 of 5,688 by trust here, #3,687 by citations
• Model Architectures — 5 citations into it

Whom Bin Cao trusts overall

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

1. Matthew D. Zeiler
2. Geoffrey E. Hinton
3. Oriol Vinyals
4. Yoshua Bengio
5. Ilya Sutskever
6. Tomas Mikolov
7. Alex Krizhevsky
8. Richard Socher
9. Diederik P. Kingma
10. Jeffrey Pennington

Who trusts Bin Cao overall

1. Christopher Clark
2. Debajyoti Chatterjee

Papers from Bin Cao's perspective

Ordered by how strongly the researchers Bin Cao 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension (2017) — 84 citations
• Smarnet: Teaching Machines to Read and Comprehend Like Human (2017) — 23 citations