Yehuda Afek

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 5 citations into it

Whom Yehuda Afek trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Xavier Glorot
5. Yann LeCun
6. Roland Memisevic
7. Ilya Sutskever
8. Dan Claudiu Ciresan

Who trusts Yehuda Afek overall

1. Chaopeng Shen
2. Chunlin Chen

Papers from Yehuda Afek's perspective

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

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

Their papers

• A Dynamic Convolutional Layer for short rangeweather prediction (2015) — 189 citations