Michael Hu

Artificial Intelligence · 2006

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #7,402 of 35,345 by trust here, #6,720 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Reinforcement Learning — 5 citations into it; #680 of 2,242 by trust here, #632 by citations

Whom Michael Hu trusts overall

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

1. Yann LeCun
2. Tong Zhang
3. Martin A. Zinkevich
4. Martin L. Puterman
5. B. Taskar
6. Elad Hazan

Who trusts Michael Hu overall

1. Sergey Levine
2. Pieter Abbeel
3. Nathan D. Ratliff
4. Anca Dragan
5. J. Bagnell
6. Chelsea Finn
7. Kun Li
8. Vladlen Koltun
9. Ashesh Jain
10. Siddhartha S. Srinivasa

Papers from Michael Hu's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Maximum margin planning (2006) — 815 citations