Alfred Shen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 39 citations into it
• Representation & Self-Supervised Learning — 31 citations into it

Whom Alfred Shen trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yoshua Bengio
6. Andrew Zisserman
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Shaoqing Ren

Papers from Alfred Shen's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet Large Scale Visual Recognition Challenge
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• How Well Self-Supervised Pre-Training Performs with Streaming Data? (2021) — 12 citations