Synthesis Lectures

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Natural Language Processing — 28 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Synthesis Lectures trusts overall

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

1. Richard S. Sutton
2. Dan Jurafsky
3. Alice H. Oh
4. Barbara Maria Di Eugenio
5. Marilyn A. Walker
6. Andrew Barto
7. Michael Collins
8. Joakim Nivre
9. Jason Williams
10. Ryan T. McDonald

Papers from Synthesis Lectures's perspective

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

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Reinforcement Learning: An Introduction
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Synthesis Lectures on Human Language Technologies (2009) — 35 citations