David Vilares

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Natural Language Processing — 38 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Model Architectures — 5 citations into it

Whom David Vilares trusts overall

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

1. Jason Aaron Edward Weston
2. Danqi Chen
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Tomas Mikolov
6. Ilya Sutskever
7. Diederik P. Kingma
8. Richard Socher
9. Christopher D. Manning
10. Alex Krizhevsky

Papers from David Vilares's perspective

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

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

Their papers

• HEAD-QA: A Healthcare Dataset for Complex Reasoning (2019) — 151 citations
• Parsing as Pretraining (2020) — 34 citations