Tony Metger

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Generative Models — 5 citations into it

Whom Tony Metger trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Bradley Efron
4. Naftali Tishby
5. Geoffrey E. Hinton
6. Hyunjik Kim
7. Max Welling
8. Thomas G. Dietterich
9. Steven L. Brunton
10. Djork-Arné Clevert

Who trusts Tony Metger overall

1. Siwei Yu

Papers from Tony Metger's perspective

Ordered by how strongly the researchers Tony Metger 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Discovering physical concepts with neural networks (2018) — 447 citations