Leon Barrett

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #4,195 of 35,345 by trust here, #9,369 by citations
• Natural Language Processing — 5 citations into it; #1,040 of 5,688 by trust here, #2,106 by citations

Whom Leon Barrett trusts overall

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

1. Michael Collins
2. Eugene Charniak
3. Takuya Matsuzaki

Who trusts Leon Barrett overall

1. Slav Petrov
2. Percy Liang
3. Richard Socher
4. Daniel Quernheim
5. Daniel Klein
6. David Chiang
7. Greg Durrett
8. Philip Williams
9. Ivan Titov
10. Yoav Goldberg

Papers from Leon Barrett's perspective

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

1. Head-Driven Statistical Models for Natural Language Parsing
2. A Maximum-Entropy-Inspired Parser
3. Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking (Annual Meeting of the Association for Computational Linguistics)
4. Discriminative Training of a Neural Network Statistical Parser
5. Playing Atari with Deep Reinforcement Learning (arXiv.org)
6. Mastering the game of Go with deep neural networks and tree search
7. Probabilistic CFG with Latent Annotations (Annual Meeting of the Association for Computational Linguistics)
8. Mastering the game of Go without human knowledge
9. Grandmaster level in StarCraft II using multi-agent reinforcement learning
10. Dota 2 with Large Scale Deep Reinforcement Learning

Their papers

• Learning Accurate, Compact, and Interpretable Tree Annotation (2006) — 991 citations
• Outracing champion Gran Turismo drivers with deep reinforcement learning (2022) — 497 citations