J. Radford

Statistical and Nonlinear Physics · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 18 citations into it
• Sociology and Political Science — 16 citations into it; #14,833 of 22,756 by trust here, #20,051 by citations
• Artificial Intelligence — 13 citations into it
• Management Science and Operations Research — 6 citations into it
• Economics and Econometrics — 5 citations into it
• Social Psychology — 5 citations into it

Whom J. Radford trusts overall

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

1. Alberto Cavallo
2. David M. J. Lazer
3. Benjamin Edelman
4. Jeffrey Pennington
5. Glen A. Coppersmith
6. Oren Tsur
7. Rafal Józefowicz
8. Scott A. Golder
9. Roberto Rigobon
10. Richard Socher

Who trusts J. Radford overall

1. Sarah Brayne

Papers from J. Radford's perspective

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

1. GloVe: Global Vectors for Word Representation
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Exploring the Limits of Language Modeling
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures

Their papers

• Data ex Machina: Introduction to Big Data (2017) — 198 citations