F. Marco

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 13 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Sociology and Political Science — 6 citations into it

Whom F. Marco trusts

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

1. Steven Bird (in Artificial Intelligence)
2. Edward Loper (in Artificial Intelligence)
3. Helen Nissenbaum (in Safety, Robustness & Interpretability)
4. Batya Friedman (in Safety, Robustness & Interpretability)
5. Frank Asbrock (in Gender Studies)
6. Christopher D. Manning (in Artificial Intelligence)
7. Richard Socher (in Artificial Intelligence)
8. Dan Jurafsky (in Natural Language Processing)

Papers from F. Marco's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. GloVe: Global Vectors for Word Representation
3. Word Representations: A Simple and General Method for Semi-Supervised Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. Semantics derived automatically from language corpora contain human-like biases
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Bias in word embeddings (2020) — 109 citations