Ning Ye

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #11,514 of 21,575 by trust here, #8,502 by citations
• Artificial Intelligence — 20 citations into it
• Natural Language Processing — 12 citations into it; #3,358 of 5,688 by trust here, #2,634 by citations

Whom Ning Ye trusts overall

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

1. Diederik P. Kingma
2. Oriol Vinyals
3. Geoffrey E. Hinton
4. Richard S. Sutton
5. Christian Szegedy
6. Samy Bengio
7. Yoshua Bengio
8. Ilya Sutskever
9. Jimmy Ba
10. Alex Krizhevsky

Who trusts Ning Ye overall

1. Marcella Cornia
2. Lorenzo Baraldi
3. Asli Celikyilmaz
4. Matteo Stefanini

Papers from Ning Ye's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. 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. Microsoft COCO: Common Objects in Context
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Improved Image Captioning via Policy Gradient optimization of SPIDEr (2016) — 497 citations