Ilias Leondiadis

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Federated & Distributed Learning — 22 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Ilias Leondiadis trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Sepp Hochreiter
5. H. Brendan McMahan

Papers from Ilias Leondiadis's perspective

Ordered by how strongly the researchers Ilias Leondiadis 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. Learning Multiple Layers of Features from Tiny Images
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Dropout: a simple way to prevent neural networks from overfitting
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout (2021) — 365 citations