B. Seegmiller
Economics and Econometrics · 2022
A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 60 citations into it
- Sociology and Political Science — 20 citations into it
- General Health Professions — 15 citations into it
- Economics & Operations Research — 12 citations into it
- Management of Technology and Innovation — 9 citations into it
- Artificial Intelligence — 7 citations into it
- Social Sciences & Humanities — 7 citations into it; #258 of 309 by trust here, #266 by citations
- Natural Language Processing — 6 citations into it
Whom B. Seegmiller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David H. Autor
- Daron Acemoglu
- David J. Deming
- Bryan T. Kelly
- Jeffrey Pennington
- David Dorn
- P. Restrepo
- Charles I. Jones
- John Van Reenen
- Matthew Gentzkow
Who trusts B. Seegmiller overall
Papers from B. Seegmiller's perspective
Ordered by how strongly the researchers B. Seegmiller trusts endorse each paper. Same corpus, a different order for every researcher.
- GloVe: Global Vectors for Word Representation
- Efficient Estimation of Word Representations in Vector Space
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Robots and Jobs: Evidence from US Labor Markets
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)