Jonathan Gaudreault

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it

Whom Jonathan Gaudreault trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton

Papers from Jonathan Gaudreault's perspective

Ordered by how strongly the researchers Jonathan Gaudreault 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Tree Species Identification from Bark Images Using Convolutional Neural Networks (2018) — 72 citations