Ron van Bree

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 187 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Computer Vision and Pattern Recognition — 37 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Optimization & Training — 7 citations into it
• Model Architectures — 6 citations into it

Whom Ron van Bree trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Jia Deng
7. Yann LeCun
8. Ilya Sutskever
9. Ross B. Girshick
10. Jimmy Ba

Who trusts Ron van Bree overall

1. Meike Nauta
2. Cynthia Rudin

Papers from Ron van Bree's perspective

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

Their papers

• Neural Prototype Trees for Interpretable Fine-grained Image Recognition (2020) — 369 citations