Mikhail Iu. Leontev

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Mikhail Iu. Leontev trusts overall

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

1. Diederik P. Kingma
2. Charles M. Bishop
3. Yann LeCun
4. Jeff Donahue
5. Ross B. Girshick
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Yoshua Bengio
9. Jimmy Ba
10. Zhizhong Li

Papers from Mikhail Iu. Leontev's perspective

Ordered by how strongly the researchers Mikhail Iu. Leontev 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Non-iterative Knowledge Fusion in Deep Convolutional Neural Networks (2018) — 24 citations