Patrick Cardinal

Signal Processing · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 17 citations into it
• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Speech & Audio — 7 citations into it
• Developmental Biology — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Patrick Cardinal trusts overall

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

1. Nelson Morgan
2. Geoffrey E. Hinton
3. Yann LeCun
4. Matthew D. Zeiler
5. Yoshua Bengio
6. Kaiming He
7. Karen Simonyan
8. George E. Dahl
9. Alex Krizhevsky
10. Karol J. Piczak

Who trusts Patrick Cardinal overall

1. David W. Romero
2. Li Deng

Papers from Patrick Cardinal's perspective

Ordered by how strongly the researchers Patrick Cardinal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Vocabulary Speech Recognition on Parallel Architectures (2013) — 4 citations
• End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network (2019) — 321 citations