Ivan Sorokin

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Reinforcement Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Ivan Sorokin trusts overall

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

1. Ronald J. Williams
2. Volodymyr Mnih
3. Sepp Hochreiter
4. Yoshua Bengio
5. Dzmitry Bahdanau
6. Geoffrey E. Hinton
7. Jimmy Ba
8. Richard S. Sutton
9. J. Urgen Schmidhuber
10. Alex Graves

Who trusts Ivan Sorokin overall

1. Ahmad El Sallab
2. Yujin Tang
3. Anthony Manchin
4. Jinyoung Choi
5. Dmitry Nikulin
6. Zhao Yang
7. Mohammed Abdou
8. Etienne Perot
9. Duong Nguyen
10. Ehsan Abbasnejad

Papers from Ivan Sorokin's perspective

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

Their papers

• Deep Attention Recurrent Q-Network (2015) — 170 citations
• The STC System for the CHiME-6 Challenge (2020) — 60 citations