Aleksandr Ermolov

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 237 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #20,335 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 39 citations into it; #33,222 of 35,345 by trust here, #21,878 by citations
• Representation & Self-Supervised Learning — 37 citations into it; #2,947 of 3,145 by trust here, #2,454 by citations
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Aleksandr Ermolov trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Yann LeCun
7. Jeff Donahue
8. Nitish Srivastava
9. Karen Simonyan
10. Ilya Sutskever

Who trusts Aleksandr Ermolov overall

1. Adrien Bardes
2. Victor Costa
3. Jure Zbontar
4. Tianyu Hua
5. Zhiqiang Shen
6. Yann LeCun
7. Randall Balestriero
8. Enrico Fini
9. Jean Ponce
10. Li Jing

Papers from Aleksandr Ermolov's perspective

Ordered by how strongly the researchers Aleksandr Ermolov 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Whitening for Self-Supervised Representation Learning (2020) — 400 citations