Oscar Sagemo

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #33,550 of 35,345 by trust here, #34,213 by citations
• Natural Language Processing — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Oscar Sagemo trusts overall

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

1. Andreas Stolcke
2. Chih-Jen Lin
3. Lucia Specia
4. Chris Dyer
5. Slav Petrov
6. Ondrej Bojar
7. Matthew G. Snover
8. Gustavo Paetzold
9. Victor Chahuneau
10. Leon Barrett

Who trusts Oscar Sagemo overall

1. Ergun Biçici

Papers from Oscar Sagemo's perspective

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

1. Long Short-Term Memory
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet classification with deep convolutional neural networks
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The UU Submission to the Machine Translation Quality Estimation Task (2016) — 6 citations