Yutong Chen

Computer Vision and Pattern Recognition · with Soatto · 2020

A researcher in the Science corpus: 1 paper; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 28 citations into it
• Artificial Intelligence — 15 citations into it
• Generative Models — 15 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Yutong Chen trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Yann LeCun
7. Jimmy Ba
8. Ilya Sutskever
9. Max Welling
10. Alex Graves

Papers from Yutong Chen's perspective

Ordered by how strongly the researchers Yutong Chen 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 classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning to Manipulate Individual Objects in an Image (2020) — 38 citations