Xiaofeng Gao

Reinforcement Learning · with Gong · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 23 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it; #19,831 of 21,575 by trust here, #16,367 by citations

Whom Xiaofeng Gao trusts overall

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

1. Andrew Y. Ng
2. Geoffrey E. Hinton
3. Volodymyr Mnih
4. Alex Krizhevsky
5. Kaiming He
6. Yoshua Bengio
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. John Schulman

Who trusts Xiaofeng Gao overall

1. Tushar Nagarajan
2. Jiafei Duan
3. Kristen Grauman
4. Samson Yu

Papers from Xiaofeng Gao's perspective

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

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

• VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning (2019) — 67 citations