Pavel Danchenko

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 13 citations into it

Whom Pavel Danchenko trusts overall

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

1. Rico Sennrich
2. Artem Sokolov

Papers from Pavel Danchenko's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
3. Reinforcement Learning: An Introduction
4. Neural Machine Translation of Rare Words with Subword Units
5. On the difficulty of training recurrent neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. ADADELTA: An Adaptive Learning Rate Method
10. ImageNet classification with deep convolutional neural networks

Their papers

• A Shared Task on Bandit Learning for Machine Translation (2017) — 16 citations