Ming Shen

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #35,311 of 35,345 by trust here, #12,974 by citations
• Natural Language Processing — 47 citations into it; #5,685 of 5,688 by trust here, #2,767 by citations
• Computer Vision and Pattern Recognition — 36 citations into it
• Evaluation & Benchmarks — 20 citations into it

Whom Ming Shen trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Diederik P. Kingma
5. Chin-Yew Lin
6. Alex Krizhevsky
7. Kaiming He
8. Yann LeCun
9. Jiatao Gu
10. Alex Graves

Who trusts Ming Shen overall

1. Sean Welleck
2. Ximing Lu
3. Yi Tay

Papers from Ming Shen's perspective

Ordered by how strongly the researchers Ming Shen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning (2020) — 417 citations