Moshe Kravchik

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Model Architectures — 15 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Computer Networks and Communications — 6 citations into it
• Control and Systems Engineering — 6 citations into it
• Signal Processing — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Moshe Kravchik trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Karen Simonyan
5. Christian Szegedy
6. Ronald J. Williams
7. Alex Krizhevsky
8. Sepp Hochreiter
9. Sergey Ioffe
10. Yoshua Bengio

Papers from Moshe Kravchik's perspective

Ordered by how strongly the researchers Moshe Kravchik 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Detecting Cyber Attacks in Industrial Control Systems Using Convolutional Neural Networks (2018) — 329 citations