Aleksei Petrenko

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Reinforcement Learning — 46 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom Aleksei Petrenko trusts overall

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

1. Sepp Hochreiter
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alexey Dosovitskiy
5. John Schulman
6. J. Urgen Schmidhuber
7. Yoshua Bengio
8. Alex Krizhevsky
9. Kaiming He
10. Richard S. Sutton

Who trusts Aleksei Petrenko overall

1. Steven Dalton
2. Iuri Frosio

Papers from Aleksei Petrenko's perspective

Ordered by how strongly the researchers Aleksei Petrenko 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning (2020) — 137 citations
• Large Batch Simulation for Deep Reinforcement Learning (2021) — 29 citations