Dmitry Kropotov

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #27,674 of 35,345 by trust here, #30,347 by citations
• Probabilistic & Bayesian Methods — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Dmitry Kropotov trusts overall

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

1. Alex Krizhevsky
2. Andrew Gordon Wilson
3. James Hensman
4. Ivan V. Oseledets
5. Yann LeCun
6. Edward Snelson
7. Zoubin Ghahramani
8. Geoffrey E. Hinton
9. Ruslan Salakhutdinov
10. Yoshua Bengio

Who trusts Dmitry Kropotov overall

1. Guodong Zhang
2. Roger Baker Grosse
3. Jiaxin Shi

Papers from Dmitry Kropotov's perspective

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

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

Their papers

• Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition (2017) — 69 citations