Eli Kravchik

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; #14,920 of 21,575 by trust here, #14,822 by citations
• Efficiency & Compression — 16 citations into it
• Model Architectures — 9 citations into it

Whom Eli Kravchik 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. Karen Simonyan
10. Daniel Soudry

Who trusts Eli Kravchik overall

1. Markus Nagel
2. Yelysei Bondarenko
3. Yury Nahshan
4. Zhenhua Liu
5. Yash Bhalgat
6. Yaohui Cai

Papers from Eli Kravchik's perspective

Ordered by how strongly the researchers Eli Kravchik 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. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

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