Justin Yuan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it; #21,305 of 21,575 by trust here, #15,529 by citations

Whom Justin Yuan trusts overall

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

1. Kaiming He

Who trusts Justin Yuan overall

1. Sergey I. Nikolenko

Papers from Justin Yuan's perspective

Ordered by how strongly the researchers Justin Yuan 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. Et al
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Rethinking the Inception Architecture for Computer Vision
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Meta-Sim: Learning to Generate Synthetic Datasets (2019) — 279 citations