Denis Kazakov

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Model Architectures — 8 citations into it

Whom Denis Kazakov trusts overall

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

1. M. Masson
2. Sepp Hochreiter
3. John J. Hopfield
4. Yoshua Bengio
5. Jeffrey Pennington
6. Geoffrey E. Hinton
7. Alex Graves
8. J. Urgen Schmidhuber
9. Richard Socher
10. Yann LeCun

Papers from Denis Kazakov's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
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. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• State-Denoised Recurrent Neural Networks (2018) — 8 citations