Bailin Li

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 388 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Computer Vision and Pattern Recognition — 68 citations into it
• Multimodal Learning — 35 citations into it
• Natural Language Processing — 26 citations into it
• Model Architectures — 12 citations into it

Whom Bailin Li trusts overall

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

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

Papers from Bailin Li's perspective

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

Their papers

• Visual Question Reasoning on General Dependency Tree (2018) — 39 citations
• Interpretable Visual Question Answering by Reasoning on Dependency Trees (2018) — 56 citations