Yoni Choukroun

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it; #14,921 of 21,575 by trust here, #14,822 by citations
• Efficiency & Compression — 16 citations into it
• Model Architectures — 9 citations into it

Whom Yoni Choukroun trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Ilya Sutskever
5. Yann LeCun
6. Kaiming He
7. Diederik P. Kingma
8. Christian Szegedy
9. Daniel Soudry
10. Karen Simonyan

Who trusts Yoni Choukroun overall

1. Markus Nagel
2. Yelysei Bondarenko
3. Yury Nahshan
4. Zhenhua Liu
5. Yash Bhalgat
6. Yaohui Cai
7. Qing Jin
8. Tijmen Blankevoort
9. Zi-Mei Yao
10. Ron Banner

Papers from Yoni Choukroun's perspective

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

Their papers

• Low-bit Quantization of Neural Networks for Efficient Inference (2019) — 463 citations