Yi Shen

Artificial Intelligence · with Anguelov · 2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #33,298 of 35,345 by trust here, #14,181 by citations
• Computer Vision and Pattern Recognition — 28 citations into it; #20,388 of 21,575 by trust here, #9,722 by citations
• Optimization & Training — 6 citations into it

Whom Yi Shen trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Jimmy Ba
5. Alex Krizhevsky
6. Yoshua Bengio

Who trusts Yi Shen overall

1. Yicheng Liu

Papers from Yi Shen's perspective

Ordered by how strongly the researchers Yi Shen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Et al
7. Long Short-Term Memory
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. ImageNet: A large-scale hierarchical image database

Their papers

• VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation (2020) — 1,110 citations
• TNT: Target-driveN Trajectory Prediction (2020) — 722 citations