Jose Miguel Such

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 12 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Sociology and Political Science — 10 citations into it
• Safety Research — 6 citations into it
• Information Systems — 5 citations into it

Whom Jose Miguel Such trusts overall

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

1. Dirk Hovy
2. Mingming Cheng
3. A. Greenwald
4. Aylin Caliskan
5. Jeffrey Pennington
6. Tolga Bolukbasi
7. Tomas Mikolov
8. Richard Socher
9. Clayton J. Hutto
10. Maria Antoniak

Papers from Jose Miguel Such's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. GloVe: Global Vectors for Word Representation
3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet classification with deep convolutional neural networks
7. Long Short-Term Memory
8. Natural Language Processing (Almost) from Scratch
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Discovering and Categorising Language Biases in Reddit (2020) — 54 citations
• Attesting Biases and Discrimination using Language Semantics (2019) — 8 citations