Alexey Seleznev

Reinforcement Learning · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Alexey Seleznev 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. Richard S. Sutton
8. Jimmy Ba
9. J. Urgen Schmidhuber
10. Alex Graves

Who trusts Alexey Seleznev overall

1. Ahmad El Sallab
2. Yujin Tang
3. Anthony Manchin
4. Jinyoung Choi
5. Dmitry Nikulin

Papers from Alexey Seleznev's perspective

Ordered by how strongly the researchers Alexey Seleznev trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
9. Human-level control through deep reinforcement learning
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Attention Recurrent Q-Network (2015) — 170 citations