Nikolay Sergievskiy

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 118 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #16,416 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 40 citations into it
• Model Architectures — 28 citations into it
• Optimization & Training — 20 citations into it

Whom Nikolay Sergievskiy trusts overall

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

1. Yann LeCun
2. Christian Szegedy
3. Alex Krizhevsky
4. Yoshua Bengio
5. Geoffrey E. Hinton
6. Kaiming He
7. Sergey Ioffe
8. Dmytro Mishkin
9. Ilya Sutskever
10. David E. Rumelhart

Who trusts Nikolay Sergievskiy overall

1. Patryk Chrabaszcz
2. Forrest N. Iandola
3. Payap Sirinam

Papers from Nikolay Sergievskiy's perspective

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

Their papers

• Systematic evaluation of CNN advances on the ImageNet (2016) — 123 citations
• Systematic evaluation of convolution neural network advances on the Imagenet (2017) — 265 citations