Taylor Gordon

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #20,752 of 21,575 by trust here, #12,419 by citations

Whom Taylor Gordon trusts overall

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

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

Who trusts Taylor Gordon overall

1. Michael J. Black

Papers from Taylor Gordon's perspective

Ordered by how strongly the researchers Taylor Gordon 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Accelerating 3D deep learning with PyTorch3D (2019) — 1,177 citations