Artyom Y. Sorokin

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Reinforcement Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom Artyom Y. Sorokin trusts overall

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

1. Thomas G. Dietterich
2. Sepp Hochreiter
3. Geoffrey E. Hinton
4. J. Urgen Schmidhuber
5. Alexey Dosovitskiy
6. Yan Duan
7. Volodymyr Mnih
8. Yoshua Bengio
9. Diederik P. Kingma
10. Alex Krizhevsky

Papers from Artyom Y. Sorokin's perspective

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

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

Their papers

• Continual and Multi-task Reinforcement Learning With Shared Episodic Memory (2019) — 5 citations