Jonathan Huang

Computer Vision and Pattern Recognition · with Krishnan · 2018

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Artificial Intelligence — 27 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it

Whom Jonathan Huang trusts overall

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

1. Yarin Gal
2. Alex Graves
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Kendall
6. L. Eon Bottou
7. Alex Krizhevsky
8. Yann LeCun
9. Diederik P. Kingma
10. Yoshua Bengio

Papers from Jonathan Huang's perspective

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

Their papers

• Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference (2018) — 84 citations