Moshe Shpitalni

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it

Whom Moshe Shpitalni trusts overall

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

1. Geoffrey E. Hinton
2. David H. Hubel

Who trusts Moshe Shpitalni overall

1. Liquan Zhao

Papers from Moshe Shpitalni's perspective

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

1. Gradient-based learning applied to document recognition
2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. Rectified Linear Units Improve Restricted Boltzmann Machines
4. Dropout: a simple way to prevent neural networks from overfitting
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection (2016) — 530 citations