George Almpanidis

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Information Systems — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom George Almpanidis trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Chih-Jen Lin
4. Andrew P. Bradley
5. Yoav Freund
6. D. R. Cox
7. Rasmus Berg Palm
8. Naomi S. Altman

Papers from George Almpanidis's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. A Fast Learning Algorithm for Deep Belief Nets
6. Long Short-Term Memory
7. Learning Deep Architectures for AI
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• An up-to-date comparison of state-of-the-art classification algorithms (2017) — 392 citations