John Langford

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #8,564 of 35,345 by trust here, #6,517 by citations
• Natural Language Processing — 12 citations into it; #1,961 of 5,688 by trust here, #1,518 by citations

Whom John Langford trusts overall

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

1. Michael Collins
2. B. Taskar

Who trusts John Langford overall

1. Stéphane Ross
2. Kevin Clark
3. Andreas Vlachos
4. J. Bagnell
5. Ryan T. McDonald
6. Christopher D. Manning
7. Hoang Minh Le
8. Daniel Munoz
9. Weijia Xu
10. Maxime Chevalier-Boisvert

Papers from John Langford's perspective

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

1. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
2. Max-Margin Markov Networks
3. Head-Driven Statistical Models for Natural Language Parsing
4. The perceptron: a probabilistic model for information storage and organization in the brain.
5. Learning structured prediction models: a large margin approach
6. ImageNet classification with deep convolutional neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Search-based structured prediction (2009) — 602 citations