Oleg Khomenko

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it
• Generative Models — 19 citations into it
• Artificial Intelligence — 13 citations into it
• Optimization & Training — 7 citations into it

Whom Oleg Khomenko trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Yann LeCun
7. Jimmy Ba
8. Ilya Sutskever
9. Ian J. Goodfellow
10. Lars M. Mescheder

Papers from Oleg Khomenko's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• DeepLandscape: Adversarial Modeling of Landscape Video (2020) — 26 citations
• Label Denoising with Large Ensembles of Heterogeneous Neural Networks (2018) — 30 citations