Ricardo Muñoz Sánchez

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Natural Language Processing — 26 citations into it
• Safety, Robustness & Interpretability — 25 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Ricardo Muñoz Sánchez trusts overall

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

1. Anne Lauscher
2. Jieyu Zhao
3. Tomas Mikolov
4. Hila Gonen
5. Geoffrey E. Hinton
6. Yoshua Bengio

Papers from Ricardo Muñoz Sánchez's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Efficient Estimation of Word Representations in Vector Space
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Intrinsic Bias Metrics Do Not Correlate with Application Bias (2020) — 214 citations