Didi Chuxing

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Model Architectures — 6 citations into it

Whom Didi Chuxing trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Jimmy Ba (in Artificial Intelligence)
3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
4. Kaiming He (in Computer Vision and Pattern Recognition)
5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
6. Ross B. Girshick (in Computer Vision and Pattern Recognition)
7. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
8. Ilya Sutskever (in Computer Vision and Pattern Recognition)
9. Andrew L. Maas (in Model Architectures)
10. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Papers from Didi Chuxing's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
6. Matching Networks for One Shot Learning
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Prototypical Networks for Few-shot Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning (2021) — 13 citations