John E. Plapp

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 18 citations into it
• Optimization & Training — 5 citations into it

Whom John E. Plapp trusts overall

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

1. Yann LeCun
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Kaiming He
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Yoshua Bengio
8. Jost Tobias Springenberg
9. Christian Szegedy
10. Ian J. Goodfellow

Who trusts John E. Plapp overall

1. Xu Ji
2. Yanbei Chen
3. Adam R. Kosiorek

Papers from John E. Plapp's perspective

Ordered by how strongly the researchers John E. Plapp 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. Learning Multiple Layers of Features from Tiny Images
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Associative Deep Clustering: Training a Classification Network with No Labels (2018) — 132 citations