Jonathan Su
Computer Vision and Pattern Recognition · with Barnett · 2018
A researcher in the Science corpus: 1 paper; trusts 316 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 55 citations into it; #8,831 of 21,575 by trust here, #7,499 by citations
- Artificial Intelligence — 38 citations into it; #12,449 of 35,345 by trust here, #10,667 by citations
- Safety, Robustness & Interpretability — 11 citations into it; #854 of 2,251 by trust here, #939 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Model Architectures — 7 citations into it
- Biophysics — 5 citations into it
Whom Jonathan Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
- Kaiming He
- David G. Lowe
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Ruslan Salakhutdinov
- Diederik P. Kingma
Who trusts Jonathan Su overall
Papers from Jonathan Su's perspective
Ordered by how strongly the researchers Jonathan Su trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- This looks like that: deep learning for interpretable image recognition (2018) — 1,568 citations