Sergey V. Sukhov

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Sergey V. Sukhov trusts overall

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

1. Diederik P. Kingma
2. Charles M. Bishop
3. Yann LeCun
4. Geoffrey E. Hinton
5. Jeff Donahue
6. Ross B. Girshick
7. Alex Krizhevsky
8. Yoshua Bengio
9. Jimmy Ba
10. Zhizhong Li

Papers from Sergey V. Sukhov's perspective

Ordered by how strongly the researchers Sergey V. Sukhov trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Non-iterative Knowledge Fusion in Deep Convolutional Neural Networks (2018) — 24 citations