Michael Iliadis

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it
• Media Technology — 14 citations into it

Whom Michael Iliadis trusts overall

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

1. Yann LeCun
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Kai Zhang
8. Karol Gregor
9. Pascal Vincent
10. Ilya Sutskever

Papers from Michael Iliadis's perspective

Ordered by how strongly the researchers Michael Iliadis 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Using Deep Neural Networks for Inverse Problems in Imaging: Beyond Analytical Methods (2018) — 520 citations