John M. Pierre

2018

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

Whom John M. Pierre trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Diederik P. Kingma
6. Ilya Sutskever
7. Ruslan Salakhutdinov
8. Radford M. Neal
9. Alex Graves
10. Alexander Rainer Tassilo Gepperth

Who trusts John M. Pierre overall

1. Khadija Shaheen
2. Shipeng Yan
3. Jiangwei Xie
4. Muhammad Abdullah Hanif
5. Osman Hasan
6. Randy Ardywibowo
7. Muhammad Shafique
8. Xuming He

Papers from John M. Pierre's perspective

Ordered by how strongly the researchers John M. Pierre 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. 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. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Incremental Lifelong Deep Learning for Autonomous Vehicles (2018) — 18 citations