Oleg Rokhlenko

Artificial Intelligence · with Elkan · 2017

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Natural Language Processing — 16 citations into it
• Reinforcement Learning — 14 citations into it

Whom Oleg Rokhlenko trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Yoshua Bengio
4. Dzmitry Bahdanau
5. Jason Williams
6. Geoffrey E. Hinton
7. Richard S. Sutton
8. Andrew Y. Ng
9. Christopher D. Manning
10. Antoine Bordes

Papers from Oleg Rokhlenko's perspective

Ordered by how strongly the researchers Oleg Rokhlenko 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient (2017) — 43 citations