A. Navon

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Management Science and Operations Research — 11 citations into it
• Signal Processing — 8 citations into it

Whom A. Navon trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Lijuan Cao
4. Tim Bollerslev
5. Kyoung-jae Kim
6. Andrew W. Lo
7. Kaiming He
8. Ronan Collobert
9. Andrea Vedaldi
10. Alex Krizhevsky

Papers from A. Navon's perspective

Ordered by how strongly the researchers A. Navon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Financial Time Series Prediction Using Deep Learning (2017) — 13 citations