Pavel Kisilev

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; #14,919 of 21,575 by trust here, #14,822 by citations
• Efficiency & Compression — 16 citations into it
• Model Architectures — 9 citations into it

Whom Pavel Kisilev 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. Oriol Vinyals

Who trusts Pavel Kisilev overall

1. Tijmen Blankevoort
2. Markus Nagel
3. Yelysei Bondarenko

Papers from Pavel Kisilev's perspective

Ordered by how strongly the researchers Pavel Kisilev 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

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