Nikolai Yakovenko

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 121 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #24,044 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #18,849 of 21,575 by trust here, #17,757 by citations
• Natural Language Processing — 17 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 10 citations into it

Whom Nikolai Yakovenko trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Yann LeCun
4. Yoshua Bengio
5. Alex Krizhevsky
6. Kaiming He
7. Diederik P. Kingma
8. Karen Simonyan
9. L. Eon Bottou
10. Alex Graves

Who trusts Nikolai Yakovenko overall

1. Johannes Heinrich
2. Chih-Kuan Yeh
3. David Silver
4. Cheng-Yu Hsieh
5. Tal Ben-Nun

Papers from Nikolai Yakovenko's perspective

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

Their papers

• Large Scale Language Modeling: Converging on 40GB of Text in Four Hours (2018) — 31 citations
• Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games Using Convolutional Networks (2015) — 34 citations