Vladimir Aliev

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Vladimir Aliev trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Volodymyr Mnih
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. Laurent Itti
8. Richard S. Sutton
9. Dzmitry Bahdanau
10. Alex Graves

Papers from Vladimir Aliev's perspective

Ordered by how strongly the researchers Vladimir Aliev 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Free-Lunch Saliency via Attention in Atari Agents (2019) — 28 citations
• Label Denoising with Large Ensembles of Heterogeneous Neural Networks (2018) — 30 citations