Yakov Kronrod

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Natural Language Processing — 15 citations into it
• Model Architectures — 6 citations into it

Whom Yakov Kronrod trusts overall

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

1. Geoffrey E. Hinton
2. Ilya Sutskever
3. Alex Krizhevsky
4. Kaiming He
5. Yoon Kim
6. Yoshua Bengio
7. Tomas Mikolov
8. Yann LeCun
9. Vinod Nair

Papers from Yakov Kronrod's perspective

Ordered by how strongly the researchers Yakov Kronrod 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Dropout: a simple way to prevent neural networks from overfitting
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Rectified Linear Units Improve Restricted Boltzmann Machines
10. ImageNet: A large-scale hierarchical image database

Their papers

• Deep Active Learning for Named Entity Recognition (2017) — 482 citations