Jialin Mao

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 133 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #18,598 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 29 citations into it
• Reinforcement Learning — 10 citations into it

Whom Jialin Mao trusts overall

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

1. Ronald J. Williams
2. Geoffrey E. Hinton
3. Alex Graves
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Hugo Larochelle
9. Diederik P. Kingma
10. Stefan Mathe

Who trusts Jialin Mao overall

1. Yuxi Li
2. Sean Welleck
3. Zhong-Qiu Zhao
4. Francesco Locatello

Papers from Jialin Mao's perspective

Ordered by how strongly the researchers Jialin Mao 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Saliency-based Sequential Image Attention with Multiset Prediction (2017) — 23 citations
• Loss Functions for Multiset Prediction (2017) — 22 citations