Scott Miller

Natural Language Processing · 2000–2004

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 8 citations into it

Whom Scott Miller trusts overall

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

1. Michael Collins
2. Fei Sha
3. Fernando C Pereira
4. Andrew McCallum
5. David Yarowsky
6. John D. Lafferty

Who trusts Scott Miller overall

1. Ronan Collobert
2. Andrew McCallum
3. Ang Sun
4. Gideon S. Mann
5. Lev-Arie Ratinov
6. Mohit Bansal
7. N. Kambhatla
8. Ralph Grishman
9. Jason Aaron Edward Weston
10. Ryan T. McDonald

Papers from Scott Miller's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms
10. ImageNet: A large-scale hierarchical image database

Their papers

• Name Tagging with Word Clusters and Discriminative Training (2004) — 321 citations
• A Novel Use of Statistical Parsing to Extract Information from Text (2000) — 237 citations