Gleb Shevchuk

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Reinforcement Learning — 27 citations into it
• Control and Systems Engineering — 21 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Gleb Shevchuk trusts overall

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

1. Sergey Levine
2. Pieter Abbeel
3. Diederik P. Kingma
4. Chelsea Finn
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. E. Todorov
9. Andrew Y. Ng
10. Yann LeCun

Who trusts Gleb Shevchuk overall

1. Xingyu Lin

Papers from Gleb Shevchuk's perspective

Ordered by how strongly the researchers Gleb Shevchuk 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Unsupervised Visuomotor Control through Distributional Planning Networks (2019) — 42 citations