Georgi Dikov

Artificial Intelligence · 2019

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 — 9 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Generative Models — 5 citations into it

Whom Georgi Dikov trusts overall

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

1. Hiroaki Kitano
2. Diederik P. Kingma
3. Geoffrey F. Miller
4. Chris Cremer
5. Max Welling
6. Romain Lopez
7. Hector Mendoza
8. Geoffrey E. Hinton
9. Karen Simonyan
10. Yann LeCun

Who trusts Georgi Dikov overall

1. Hongpeng Zhou
2. Minghao Yang

Papers from Georgi Dikov's perspective

Ordered by how strongly the researchers Georgi Dikov 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. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Bayesian Learning of Neural Network Architectures (2019) — 31 citations