Matthijs Wolting

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Optimization & Training — 24 citations into it

Whom Matthijs Wolting trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Yoshua Bengio
4. L. Eon Bottou
5. Kaiming He
6. Alex Krizhevsky
7. Christian Szegedy
8. Pierre Sermanet
9. Ilya Sutskever
10. Hugo Larochelle

Papers from Matthijs Wolting's perspective

Ordered by how strongly the researchers Matthijs Wolting 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. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Survey on Distributed Machine Learning (2019) — 881 citations