Andrey M. Kazennov

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it

Whom Andrey M. Kazennov trusts overall

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

1. Radford M. Neal
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Matteo Frigo
5. Individualized Treat
6. Ian J. Goodfellow
7. Yoshua Bengio
8. George E. Dahl

Papers from Andrey M. Kazennov's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. GENERATIVE ADVERSARIAL NETS
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology (2016) — 323 citations
• Protein–protein docking by fast generalized Fourier transforms on 5D rotational manifolds (2016) — 56 citations