Feng Mao

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Feng Mao trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Oriol Vinyals
4. Alex Krizhevsky
5. Gregory R. Koch
6. Diederik P. Kingma
7. Yoshua Bengio

Papers from Feng Mao's perspective

Ordered by how strongly the researchers Feng 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: A large-scale hierarchical image database
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Their papers

• Self-Supervised Learning for Few-Shot Image Classification (2019) — 132 citations