Christopher Lucas

Artificial Intelligence · with Roberts · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Natural Language Processing — 15 citations into it
• General Social Sciences — 13 citations into it; #139 of 274 by trust here, #101 by citations
• Information Systems — 11 citations into it
• Sociology and Political Science — 6 citations into it
• Political Science and International Relations — 5 citations into it; #3,720 of 4,701 by trust here, #3,380 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Christopher Lucas trusts overall

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

1. David M. Blei
2. Justin Grimmer
3. Jonathan B. Slapin
4. John D. Lafferty
5. David Mimno
6. Daniel Ramage
7. Peter F. Brown
8. Brandon M Stewart
9. Tuo Zhao
10. Hanna M. Wallach

Who trusts Christopher Lucas overall

1. Margaret E. Roberts
2. Brandon M Stewart
3. Carina Jacobi
4. Zachary C. Steinert-Threlkeld
5. Dustin Tingley
6. Wouter van Atteveldt

Papers from Christopher Lucas's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Computer-Assisted Text Analysis for Comparative Politics (2015) — 468 citations
• Structural Topic Models for Open‐Ended Survey Responses (2014) — 1,756 citations