J. M. Serrano

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 J. M. Serrano trusts overall

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

1. Edward Loper
2. Batya Friedman
3. Jeffrey Pennington

Papers from J. M. Serrano's perspective

Ordered by how strongly the researchers J. M. Serrano 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (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

• Bias in word embeddings (2020) — 109 citations