Jie Hu

Artificial Intelligence · with Brunskill · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it

Whom Jie Hu trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Volodymyr Mnih
5. Ilya Sutskever
6. Yoshua Bengio
7. Christian Szegedy
8. Kaiming He
9. Andrew Zisserman
10. Diederik P. Kingma

Who trusts Jie Hu overall

1. Aimee van Wynsberghe
2. Young Jin Kim
3. Lasse F. Wolff Anthony

Papers from Jie Hu's perspective

Ordered by how strongly the researchers Jie Hu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning (2020) — 724 citations