Hayden Kwok-Hay So

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 24 citations into it
• Efficiency & Compression — 24 citations into it
• Model Architectures — 11 citations into it

Whom Hayden Kwok-Hay So trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Kaiming He
7. Alex Krizhevsky

Papers from Hayden Kwok-Hay So's perspective

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

Their papers

• Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers (2020) — 140 citations