Ioannis Hatzilygeroudis

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Ioannis Hatzilygeroudis trusts overall

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

1. Geoffrey E. Hinton
2. Arthur P. Dempster
3. Bernhard E. Boser
4. Federico Girosi
5. Eric Brochu
6. Nitish Srivastava

Papers from Ioannis Hatzilygeroudis's perspective

Ordered by how strongly the researchers Ioannis Hatzilygeroudis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Dropout: a simple way to prevent neural networks from overfitting
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Automatic differentiation in PyTorch
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Machine Learning Basics (2021) — 346 citations