James Yeh

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #35,007 of 35,345 by trust here, #13,962 by citations
• Computer Vision and Pattern Recognition — 16 citations into it; #21,382 of 21,575 by trust here, #9,563 by citations
• Natural Language Processing — 10 citations into it; #5,628 of 5,688 by trust here, #2,955 by citations

Whom James Yeh trusts overall

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

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

Who trusts James Yeh overall

1. Alane Suhr

Papers from James Yeh's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• A Corpus of Natural Language for Visual Reasoning (2017) — 277 citations