Yang Wang

Model Architectures · with Kim · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Model Architectures — 7 citations into it; #1,417 of 2,278 by trust here, #1,882 by citations
• Artificial Intelligence — 6 citations into it; #20,401 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #12,746 of 21,575 by trust here, #15,529 by citations

Whom Yang Wang trusts overall

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

1. Ronald J. Williams
2. Geoffrey E. Hinton
3. Ronan Collobert
4. Alex Graves
5. Charu C. Aggarwal
6. Sepp Hochreiter
7. David E. Rumelhart
8. Ilya Sutskever
9. Yann LeCun
10. J. Urgen Schmidhuber

Who trusts Yang Wang overall

1. Shane Settle
2. Konrad Zolna

Papers from Yang Wang's perspective

Ordered by how strongly the researchers Yang Wang 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Et al
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• rnn : Recurrent Library for Torch (2015) — 43 citations